Dawn Song | Academic Influence

Dawn Song's AcademicInfluence.com Rankings

Dawn Song

Criminal Justice

#75

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#88

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Cyber Security

#5

World Rank

#5

Historical Rank

criminal-justice Degrees

Dawn Song

Computer Science

#784

World Rank

#811

Historical Rank

Cybersecurity

#3

World Rank

#3

Historical Rank

Database

#364

World Rank

#381

Historical Rank

computer-science Degrees

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Criminal Justice
Computer Science

Dawn Song's Degrees

PhD Computer Science University of California, Berkeley
Masters Computer Science University of California, Berkeley
Bachelors Computer Science Tsinghua University

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Why Is Dawn Song Influential?

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According to Wikipedia, Dawn Song is a Chinese American academic and is a professor at the University of California, Berkeley, in the Electrical Engineering and Computer Science Department. She received a MacArthur Foundation Fellowship in 2010.

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Dawn Song's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Practical techniques for searches on encrypted data (2000) (3550)
Random key predistribution schemes for sensor networks (2003) (3326)
Provable data possession at untrusted stores (2007) (3114)
Advances and Open Problems in Federated Learning (2019) (2826)
The Sybil attack in sensor networks: analysis & defenses (2004) (1666)
Android permissions demystified (2011) (1476)
Delving into Transferable Adversarial Examples and Black-box Attacks (2016) (1341)
Robust Physical-World Attacks on Deep Learning Visual Classification (2018) (1268)
Dynamic Taint Analysis for Automatic Detection, Analysis, and SignatureGeneration of Exploits on Commodity Software (2005) (1196)
Efficient authentication and signing of multicast streams over lossy channels (2000) (1118)
SIA: secure information aggregation in sensor networks (2003) (1037)
The TESLA Broadcast Authentication Protocol (2002) (1013)
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning (2017) (945)
Advanced and authenticated marking schemes for IP traceback (2001) (921)
Panorama: capturing system-wide information flow for malware detection and analysis (2007) (792)
Semantics-aware malware detection (2005) (786)
BitBlaze: A New Approach to Computer Security via Binary Analysis (2008) (778)
Efficient and Secure Source Authentication for Multicast (2001) (774)
Touchalytics: On the Applicability of Touchscreen Input as a Behavioral Biometric for Continuous Authentication (2012) (752)
Polygraph: automatically generating signatures for polymorphic worms (2005) (735)
Privacy-Preserving Set Operations (2005) (731)
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization (2020) (653)
The Honey Badger of BFT Protocols (2016) (621)
SoK: Eternal War in Memory (2013) (615)
Generating Adversarial Examples with Adversarial Networks (2018) (601)
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty (2019) (596)
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks (2018) (576)
Timing Analysis of Keystrokes and Timing Attacks on SSH (2001) (576)
Characterizing Adversarial Subspaces Using Local Intrinsic Dimensionality (2018) (548)
Natural Adversarial Examples (2019) (542)
Multi-Dimensional Range Query over Encrypted Data (2007) (538)
Design and Evaluation of a Real-Time URL Spam Filtering Service (2011) (529)
Extracting Training Data from Large Language Models (2020) (516)
Robust Physical-World Attacks on Deep Learning Models (2017) (512)
Privacy-Preserving Aggregation of Time-Series Data (2011) (508)
Suspended accounts in retrospect: an analysis of twitter spam (2011) (502)
Practical Control Flow Integrity and Randomization for Binary Executables (2013) (491)
Homomorphic Signature Schemes (2002) (480)
Pi: a path identification mechanism to defend against DDoS attacks (2003) (480)
On Scaling Decentralized Blockchains - (A Position Paper) (2016) (478)
A Symbolic Execution Framework for JavaScript (2010) (452)
Code-pointer integrity (2014) (444)
Private and Continual Release of Statistics (2010) (435)
SIFF: a stateless Internet flow filter to mitigate DDoS flooding attacks (2004) (432)
Secure hierarchical in-network aggregation in sensor networks (2006) (424)
Remote data checking using provable data possession (2011) (416)
ELK, a new protocol for efficient large-group key distribution (2001) (414)
Spatially Transformed Adversarial Examples (2018) (413)
Neural Network-based Graph Embedding for Cross-Platform Binary Code Similarity Detection (2017) (406)
Polyglot: automatic extraction of protocol message format using dynamic binary analysis (2007) (378)
GEM: Graph EMbedding for routing and data-centric storage in sensor networks without geographic information (2003) (371)
Adversarial Example Defense: Ensembles of Weak Defenses are not Strong (2017) (337)
Towards Practical Oblivious RAM (2011) (326)
Towards automatic generation of vulnerability-based signatures (2006) (317)
On the Feasibility of Internet-Scale Author Identification (2012) (306)
Physical Adversarial Examples for Object Detectors (2018) (303)
DTA++: Dynamic Taint Analysis with Targeted Control-Flow Propagation (2011) (282)
Robust Physical-World Attacks on Machine Learning Models (2017) (277)
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning (2017) (275)
Hash Visualization: a New Technique to improve Real-World Security (1999) (273)
Automatic Patch-Based Exploit Generation is Possible: Techniques and Implications (2008) (270)
GUPT: privacy preserving data analysis made easy (2012) (261)
Athena: A Novel Approach to Efficient Automatic Security Protocol Analysis (2001) (261)
Dynamic Spyware Analysis (2007) (255)
FIT: fast Internet traceback (2005) (252)
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2018) (250)
Juxtapp: A Scalable System for Detecting Code Reuse among Android Applications (2012) (250)
Pretrained Transformers Improve Out-of-Distribution Robustness (2020) (250)
Privtrans: Automatically Partitioning Programs for Privilege Separation (2004) (249)
Dispatcher: enabling active botnet infiltration using automatic protocol reverse-engineering (2009) (248)
Athena: a new efficient automatic checker for security protocol analysis (1999) (247)
Quasi-Efficient Revocation in Group Signatures (2002) (247)
Recognizing Functions in Binaries with Neural Networks (2015) (244)
BinHunt: Automatically Finding Semantic Differences in Binary Programs (2008) (239)
PHANTOM: practical oblivious computation in a secure processor (2013) (234)
Automatically Identifying Trigger-based Behavior in Malware (2008) (232)
Detection of Interactive Stepping Stones: Algorithms and Confidence Bounds (2004) (231)
Adversarial Examples for Generative Models (2017) (229)
Smart Locks: Lessons for Securing Commodity Internet of Things Devices (2016) (222)
New Streaming Algorithms for Fast Detection of Superspreaders (2005) (221)
Towards a Formal Foundation of Web Security (2010) (221)
Evolution of social-attribute networks: measurements, modeling, and implications using google+ (2012) (217)
Paragraph: Thwarting Signature Learning by Training Maliciously (2006) (215)
Towards Practical Differential Privacy for SQL Queries (2017) (214)
StackPi: New Packet Marking and Filtering Mechanisms for DDoS and IP Spoofing Defense (2006) (213)
Privacy-Preserving Stream Aggregation with Fault Tolerance (2012) (211)
Towards Efficient Data Valuation Based on the Shapley Value (2019) (208)
Document Structure Integrity: A Robust Basis for Cross-site Scripting Defense (2009) (199)
Keystone: an open framework for architecting trusted execution environments (2020) (196)
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks (2019) (195)
Tree-to-tree Neural Networks for Program Translation (2018) (186)
Loop-extended symbolic execution on binary programs (2009) (185)
Inference and analysis of formal models of botnet command and control protocols (2010) (184)
Practical forward secure group signature schemes (2001) (184)
Practical Black-Box Attacks on Deep Neural Networks Using Efficient Query Mechanisms (2018) (183)
Model-Contrastive Federated Learning (2021) (182)
Joint Link Prediction and Attribute Inference Using a Social-Attribute Network (2014) (182)
Timed Efficient Stream Loss-Tolerant Authentication (TESLA): Multicast Source Authentication Transform Introduction (2005) (181)
NetworkProfiler: Towards automatic fingerprinting of Android apps (2013) (181)
Cloud Data Protection for the Masses (2012) (178)
TaintEraser: protecting sensitive data leaks using application-level taint tracking (2011) (173)
A Berkeley View of Systems Challenges for AI (2017) (171)
Delving into adversarial attacks on deep policies (2017) (165)
The Secret Sharer: Measuring Unintended Neural Network Memorization & Extracting Secrets (2018) (164)
Assessing Generalization in Deep Reinforcement Learning (2018) (161)
Gray-box extraction of execution graphs for anomaly detection (2004) (157)
Contextual Policy Enforcement in Android Applications with Permission Event Graphs (2013) (153)
Mitigating buffer overflows by operating system randomization (2002) (151)
On the Feasibility of Side-Channel Attacks with Brain-Computer Interfaces (2012) (150)
TABOR: A Highly Accurate Approach to Inspecting and Restoring Trojan Backdoors in AI Systems (2019) (149)
HookFinder: Identifying and Understanding Malware Hooking Behaviors (2008) (148)
The Emperor's New Password Manager: Security Analysis of Web-based Password Managers (2014) (148)
FLAX: Systematic Discovery of Client-side Validation Vulnerabilities in Rich Web Applications (2010) (141)
Cyber SA: Situational Awareness for Cyber Defense (2010) (138)
A Systematic Analysis of XSS Sanitization in Web Application Frameworks (2011) (136)
Making Neural Programming Architectures Generalize via Recursion (2017) (134)
Statically-directed dynamic automated test generation (2011) (133)
Binary Code Extraction and Interface Identification for Security Applications (2009) (132)
PerfFuzz: automatically generating pathological inputs (2018) (130)
Measuring Massive Multitask Language Understanding (2020) (128)
RICH: Automatically Protecting Against Integer-Based Vulnerabilities (2007) (128)
Libra: Succinct Zero-Knowledge Proofs with Optimal Prover Computation (2019) (127)
ExploreKit: Automatic Feature Generation and Selection (2016) (125)
Towards Practical Differentially Private Convex Optimization (2019) (122)
Vulnerability-Specific Execution Filtering for Exploit Prevention on Commodity Software (2006) (121)
Secure Content Sniffing for Web Browsers, or How to Stop Papers from Reviewing Themselves (2009) (119)
MACE: Model-inference-Assisted Concolic Exploration for Protocol and Vulnerability Discovery (2011) (118)
Replayer: automatic protocol replay by binary analysis (2006) (117)
Characterizing Audio Adversarial Examples Using Temporal Dependency (2018) (117)
Measuring Mathematical Problem Solving With the MATH Dataset (2021) (111)
Scaling Out-of-Distribution Detection for Real-World Settings (2022) (109)
Mining Permission Request Patterns from Android and Facebook Applications (2012) (109)
Behavioral Distance Measurement Using Hidden Markov Models (2006) (107)
Key distribution techniques for sensor networks (2004) (104)
Execution-Guided Neural Program Synthesis (2018) (104)
Behavioral Distance for Intrusion Detection (2005) (104)
Aligning AI With Shared Human Values (2020) (103)
Curriculum Adversarial Training (2018) (103)
Preserving Link Privacy in Social Network Based Systems (2012) (102)
Decision Boundary Analysis of Adversarial Examples (2018) (102)
Robust Anomaly Detection and Backdoor Attack Detection Via Differential Privacy (2019) (102)
Epione: Lightweight Contact Tracing with Strong Privacy (2020) (101)
On Gray-Box Program Tracking for Anomaly Detection (2004) (101)
Emulating emulation-resistant malware (2009) (100)
Efficient Task-Specific Data Valuation for Nearest Neighbor Algorithms (2019) (98)
Measuring Coding Challenge Competence With APPS (2021) (97)
Path-exploration lifting: hi-fi tests for lo-fi emulators (2012) (95)
Insights from the Inside: A View of Botnet Management from Infiltration (2010) (95)
Anomalous Example Detection in Deep Learning: A Survey (2020) (94)
Ekiden: A Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contract Execution (2018) (94)
VTint: Protecting Virtual Function Tables' Integrity (2015) (93)
ShadowCrypt: Encrypted Web Applications for Everyone (2014) (93)
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses (2020) (91)
The Correctness-Security Gap in Compiler Optimization (2015) (91)
VTrust: Regaining Trust on Virtual Calls (2016) (90)
BitScope: Automatically Dissecting Malicious Binaries (2007) (90)
Creating Vulnerability Signatures Using Weakest Preconditions (2007) (89)
New constructions and practical applications for private stream searching (2006) (88)
Efficient Deep Learning on Multi-Source Private Data (2018) (87)
Measuring channel capacity to distinguish undue influence (2009) (86)
Looking for diamonds in the desert - extending automatic protocol generation to three-party authentication and key agreement protocols (2000) (84)
Understanding Mobile App Usage Patterns Using In-App Advertisements (2013) (84)
Optimal Lower Bound for Differentially Private Multi-party Aggregation (2012) (84)
Differentiable Neural Network Architecture Search (2018) (81)
Sweeper: a lightweight end-to-end system for defending against fast worms (2007) (81)
Differential Slicing: Identifying Causal Execution Differences for Security Applications (2011) (79)
New Techniques for Private Stream Searching (2009) (79)
Context-sensitive auto-sanitization in web templating languages using type qualifiers (2011) (79)
GamePad: A Learning Environment for Theorem Proving (2018) (79)
A Principled Approach to Data Valuation for Federated Learning (2020) (79)
Dynamic quarantine of Internet worms (2004) (78)
Exploring the Space of Black-box Attacks on Deep Neural Networks (2017) (77)
Characterizing Adversarial Examples Based on Spatial Consistency Information for Semantic Segmentation (2018) (77)
Fig: Automatic Fingerprint Generation (2007) (74)
Expander graphs for digital stream authentication and robust overlay networks (2002) (72)
Neural Symbolic Reader: Scalable Integration of Distributed and Symbolic Representations for Reading Comprehension (2020) (72)
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data (2019) (71)
Exploiting Network Structure for Proactive Spam Mitigation (2007) (70)
Take Two Software Updates and See Me in the Morning: The Case for Software Security Evaluations of Medical Devices (2011) (70)
AGVI - Automatic Generation, Verification, and Implementation of Security Protocols (2001) (69)
Automatic protocol reverse-engineering: Message format extraction and field semantics inference (2013) (69)
Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN) (2011) (68)
Input generation via decomposition and re-stitching: finding bugs in Malware (2010) (65)
Transparent Polynomial Delegation and Its Applications to Zero Knowledge Proof (2020) (65)
Privilege Separation in HTML5 Applications (2012) (65)
Imitation Attacks and Defenses for Black-box Machine Translation Systems (2020) (65)
Language Models are Open Knowledge Graphs (2020) (64)
Malware Detection (2010) (63)
Adversarial Texts with Gradient Methods (2018) (63)
A Learning-Based Approach to Reactive Security (2009) (61)
Limits of Learning-based Signature Generation with Adversaries (2008) (61)
Lifelong Anomaly Detection Through Unlearning (2019) (61)
Compositional Generalization via Neural-Symbolic Stack Machines (2020) (60)
Private and threshold set-intersection (2004) (60)
Latent Attention For If-Then Program Synthesis (2016) (59)
Malware Detection (Advances in Information Security) (2006) (59)
Malware Analysis with Tree Automata Inference (2011) (58)
A First Step Towards the Automatic Generation of Security Protocols (2000) (57)
Data Poisoning Attack against Unsupervised Node Embedding Methods (2018) (56)
Do You Know Where Your Data Are? Secure Data Capsules for Deployable Data Protection (2011) (55)
Cross-Origin JavaScript Capability Leaks: Detection, Exploitation, and Defense (2009) (54)
A Benchmark for Anomaly Segmentation (2019) (51)
Fooling Vision and Language Models Despite Localization and Attention Mechanism (2017) (51)
A Clean-Slate Design for the Next-Generation Secure Internet (2006) (48)
StackPi: A New Defense Mechanism against IP Spoofing and DDoS Attacks (2003) (48)
TeraPipe: Token-Level Pipeline Parallelism for Training Large-Scale Language Models (2021) (47)
Detecting Fake Accounts in Online Social Networks at the Time of Registrations (2019) (46)
Impossibility of Full Decentralization in Permissionless Blockchains (2019) (46)
Characterizing Attacks on Deep Reinforcement Learning (2019) (46)
CHURP: Dynamic-Committee Proactive Secret Sharing (2019) (46)
Cloud Terminal: Secure Access to Sensitive Applications from Untrusted Systems (2012) (46)
FalconDB: Blockchain-based Collaborative Database (2020) (45)
Beyond Output Voting: Detecting Compromised Replicas Using HMM-Based Behavioral Distance (2009) (45)
Towards Synthesizing Complex Programs From Input-Output Examples (2017) (44)
The Emperor ’ s New APIs : On the ( In ) Secure Usage of New Client-side Primitives (2010) (44)
A Demonstration of Sterling: A Privacy-Preserving Data Marketplace (2018) (44)
How You Act Tells a Lot: Privacy-Leakage Attack on Deep Reinforcement Learning (2019) (43)
RobustART: Benchmarking Robustness on Architecture Design and Training Techniques (2021) (43)
Keystone: A Framework for Architecting TEEs (2019) (41)
Signatures of Reputation (2010) (40)
Would Diversity Really Increase the Robustness of the Routing Infrastructure against Software Defects? (2008) (40)
TESLA: Multicast Source Authentication Transform (2000) (40)
DeepMem: Learning Graph Neural Network Models for Fast and Robust Memory Forensic Analysis (2018) (39)
HI-CFG: Construction by Binary Analysis and Application to Attack Polymorphism (2013) (39)
Improving Neural Program Synthesis with Inferred Execution Traces (2018) (38)
Privacy Scope: A Precise Information Flow Tracking System For Finding Application Leaks (2009) (38)
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures (2021) (38)
Can you fool AI with adversarial examples on a visual Turing test? (2017) (37)
Anomalous Instance Detection in Deep Learning: A Survey (2020) (37)
Gradients explode - Deep Networks are shallow - ResNet explained (2017) (36)
AdvIT: Adversarial Frames Identifier Based on Temporal Consistency in Videos (2019) (36)
Distributed Evasive Scan Techniques and Countermeasures (2007) (36)
Clickjacking Revisited: A Perceptual View of UI Security (2014) (36)
Malware (2004) (35)
Towards Client-side HTML Security Policies (2011) (35)
Synthetic Datasets for Neural Program Synthesis (2019) (35)
HookScout: Proactive Binary-Centric Hook Detection (2010) (33)
Theory and Techniques for Automatic Generation of Vulnerability-Based Signatures (2008) (33)
Towards Generating High Coverage Vulnerability-Based Signatures with Protocol-Level Constraint-Guided Exploration (2009) (33)
Design space and analysis of worm defense strategies (2006) (33)
Enabling Efficient Cyber Threat Hunting With Cyber Threat Intelligence (2020) (32)
Neural Code Completion (2017) (32)
Note on Attacking Object Detectors with Adversarial Stickers (2017) (32)
Keystone: An Open Framework for Architecting TEEs (2019) (32)
Practical Differential Privacy for SQL Queries Using Elastic Sensitivity (2017) (31)
A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks (2018) (30)
SAM: a flexible and secure auction architecture using trusted hardware (2001) (30)
A Cryptanalysis of the High-Bandwidth Digital Content Protection System (2001) (30)
Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis (2020) (29)
Data Capsule: A New Paradigm for Automatic Compliance with Data Privacy Regulations (2019) (29)
BACKDOORL: Backdoor Attack against Competitive Reinforcement Learning (2021) (29)
Data-Confined HTML5 Applications (2013) (28)
SAFE: Secure authentication with Face and Eyes (2013) (28)
Towards Inspecting and Eliminating Trojan Backdoors in Deep Neural Networks (2020) (27)
The exploding gradient problem demystified - definition, prevalence, impact, origin, tradeoffs, and solutions (2017) (27)
Poster : Getting The Point ( er ) : On the Feasibility of Attacks on Code-Pointer Integrity (2015) (27)
Practical One-Shot Federated Learning for Cross-Silo Setting (2020) (26)
Parametrized Hierarchical Procedures for Neural Programming (2018) (26)
Duet: an expressive higher-order language and linear type system for statically enforcing differential privacy (2019) (26)
BLITZ: Compositional bounded model checking for real-world programs (2013) (25)
Signatures of Reputation : Towards Trust Without Identity (2010) (25)
User Recognition by Keystroke Latency Pattern Analysis (1997) (25)
Anonymous Multi-Attribute Encryption with Range Query and Conditional Decryption∗ (2006) (24)
DEEPVSA: Facilitating Value-set Analysis with Deep Learning for Postmortem Program Analysis (2019) (23)
Using EEG-Based BCI Devices to Subliminally Probe for Private Information (2017) (22)
Data Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses (2020) (22)
Detecting Stealthy Spreaders Using Online Outdegree Histograms (2007) (22)
Scalability vs. Utility: Do We Have to Sacrifice One for the Other in Data Importance Quantification? (2021) (22)
Private Keyword-Based Push and Pull with Applications to Anonymous Communication (2004) (22)
FreeMarket: Shopping for free in Android applications (2012) (21)
Zero Knowledge Proofs for Decision Tree Predictions and Accuracy (2020) (21)
MLSys: The New Frontier of Machine Learning Systems (2019) (21)
Chorus: Differential Privacy via Query Rewriting (2018) (20)
SysML: The New Frontier of Machine Learning Systems (2019) (20)
Quasi-Efﬁcient Revocation of Group Signatures (2003) (20)
MIRAGE: Succinct Arguments for Randomized Algorithms with Applications to Universal zk-SNARKs (2020) (20)
Proceedings of the 2009 ACM workshop on Cloud computing security (2009) (19)
Sting: An End-to-End Self-Healing System for Defending against Internet Worms (2007) (19)
Transformation-aware Exploit Generation using a HI-CFG (2013) (19)
Subliminal Probing for Private Information via EEG-Based BCI Devices (2013) (19)
Extracting Models of Security-Sensitive Operations using String-Enhanced White-Box Exploration on Binaries (2009) (18)
Analysis-Resistant Malware (2008) (18)
REINAM: reinforcement learning for input-grammar inference (2019) (18)
Latent Execution for Neural Program Synthesis Beyond Domain-Specific Languages (2021) (18)
PIANO: Proximity-Based User Authentication on Voice-Powered Internet-of-Things Devices (2017) (17)
An Empirical and Comparative Analysis of Data Valuation with Scalable Algorithms (2019) (17)
SoK: Validating Bridges as a Scaling Solution for Blockchains (2021) (17)
Leveraging Unlabeled Data for Watermark Removal of Deep Neural Networks (2019) (17)
Rosetta: Extracting Protocol Semantics using Binary Analysis with Applications to Protocol Replay and NATRewriting (2007) (17)
Opaak: using mobile phones to limit anonymous identities online (2012) (17)
Zero-Shot Information Extraction as a Unified Text-to-Triple Translation (2021) (17)
Context-centric Security (2012) (16)
What Would Jiminy Cricket Do? Towards Agents That Behave Morally (2021) (16)
Sanctorum: A lightweight security monitor for secure enclaves (2018) (16)
Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models (2021) (16)
Exploring the Unprecedented Privacy Risks of the Metaverse (2022) (16)
D2P-Fed: Differentially Private Federated Learning With Efficient Communication (2020) (15)
Inter-Disciplinary Research Challenges in Computer Systems for the 2020s (2018) (15)
Secure Auctions in a Publish/Subscribe System (2000) (14)
Policy-Enhanced Private Set Intersection: Sharing Information While Enforcing Privacy Policies (2012) (14)
End-to-end Training of Differentiable Pipelines Across Machine Learning Frameworks (2017) (14)
Analysis and defense of vulnerabilities in binary code (2008) (14)
Grammar and model extraction for security applications using dynamic program binary analysis (2010) (13)
Tracking Dynamic Sources of Malicious Activity at Internet Scale (2009) (13)
Black Box Anomaly Detection: Is It Utopian? (2006) (13)
A System for Automated Open-Source Threat Intelligence Gathering and Management (2021) (12)
Learning Neural Programs To Parse Programs (2017) (12)
Sting: An End-to-End Self-healing System for Defending against Zero-day Worm Attacks on Commodity Software (2006) (12)
Towards Mitigating Audio Adversarial Perturbations (2018) (12)
Stimuli for Gaze Based Intrusion Detection (2012) (11)
Keystone (2020) (11)
Towards Specification-Directed Program Repair (2018) (11)
Characterizing and Detecting Malicious Accounts in Privacy-Centric Mobile Social Networks: A Case Study (2019) (11)
Recognizing malicious software behaviors with tree automata inference (2012) (10)
Privacy-preserving distributed information sharing (2006) (10)
PlotCoder: Hierarchical Decoding for Synthesizing Visualization Code in Programmatic Context (2021) (10)
Model-Agnostic Round-Optimal Federated Learning via Knowledge Transfer (2020) (9)
Influence : A Quantitative Approach for Data Integrity (2008) (9)
Automatic Malware Analysis: An Emulator Based Approach (2012) (9)
SoK: Decentralized Finance (DeFi) Attacks (2022) (8)
Secure Distributed Data Aggregation (2011) (8)
A System for Efficiently Hunting for Cyber Threats in Computer Systems Using Threat Intelligence (2021) (8)
Hypervisors as a Foothold for Personal Computer Security: An Agenda for the Research Community (2012) (8)
Going Incognito in the Metaverse (2022) (7)
Practical Techniques for Searches on Encrypted Data (cid:3) (7)
Black-box Attacks on Deep Neural Networks via Gradient Estimation (2018) (7)
Distributed Private Data Analysis (2017) (7)
New Directions in Social Authentication (2015) (7)
BeeTrace: A Unified Platform for Secure Contact Tracing that Breaks Data Silos (2020) (7)
A High-Performance Oblivious RAM Controller on the Convey HC-2ex Heterogeneous Computing Platform (2013) (7)
Predicting Congressional Votes Based on Campaign Finance Data (2012) (7)
Reciprocity in Social Networks: Measurements, Predictions, and Implications (2013) (7)
Towards Defending Multiple Adversarial Perturbations via Gated Batch Normalization (2020) (6)
Privacy-breaching Behavior Analysis (2013) (6)
Influence: A Quantitative Approach for Data Integrity (CMU-CyLab-08-005) (2008) (6)
A security study of the Internet : an analysis of firewall behavior and anonymous DNS (2004) (6)
Chorus: a Programming Framework for Building Scalable Differential Privacy Mechanisms (2018) (6)
zkBridge: Trustless Cross-chain Bridges Made Practical (2022) (5)
Adversarial Training (2018) (5)
Taxonomy and Effectiveness of Worm Defense Strategies (2005) (5)
Orion: Zero Knowledge Proof with Linear Prover Time (2022) (5)
SoK: Decentralized Finance (DeFi) Incidents (2022) (5)
Shades of Finality and Layer 2 Scaling (2022) (5)
Towards Attack-Agnostic Defenses (2006) (5)
Parallel and Asynchronous Smart Contract Execution (2021) (5)
Bidirectional Protocol Reverse Engineering : Message Format Extraction and Field Semantics Inference (2009) (4)
On a First Step to the Automatic Generation of Security Protocols (1999) (4)
DensePure: Understanding Diffusion Models towards Adversarial Robustness (2022) (4)
ASPIRE: Iterative Specification Synthesis for Security (2015) (4)
UniFed: A Benchmark for Federated Learning Frameworks (2022) (4)
DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing (2021) (4)
Automatic Malware Analysis (2013) (4)
Privacy settings from contextual attributes: A case study using Google Buzz (2011) (4)
PAKE-Based Web Authentication : the Good , the Bad , and the Hurdles (2009) (4)
Towards practical differentially private causal graph discovery (2020) (4)
Privacy-preserving distributed, automated signature-based detection of new internet worms (2010) (4)
Grounded Graph Decoding Improves Compositional Generalization in Question Answering (2021) (4)
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees (2022) (4)
PrivGuard: Privacy Regulation Compliance Made Easier (2022) (3)
Latent Execution for Neural Program Synthesis (2021) (3)
Analysis of Trigger Conditions and Hidden Behaviors (2013) (3)
How Open Should Open Source Be? (2011) (3)
Towards Automatically Eliminating Integer-Based Vulnerabilities (2006) (3)
Is Vertical Logistic Regression Privacy-Preserving? A Comprehensive Privacy Analysis and Beyond (2022) (3)
Transformation-Aware Symbolic Execution for System Test Generation (2013) (3)
Towards Practical Automatic Generation of Multipath Vulnerability Signatures (2007) (3)
ZEBRA: Anonymous Credentials with Practical On-chain Verification and Applications to KYC in DeFi (2022) (3)
CHURP (2019) (3)
A Parallel Method of Deep Packet Inspection based on Message-Passing Interface (2015) (2)
Hidden Code Extraction (2013) (2)
Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry (2022) (2)
Hooking Behavior Analysis (2013) (2)
Hierarchical Variational Imitation Learning of Control Programs (2019) (2)
Symbolic Grey-Box Learning of Input-Output Relations (2012) (2)
Beyond Output Voting: Detecting Compromised Replicas using Behavioral Distance (2006) (2)
Towards Bidirectional Protection in Federated Learning (2020) (2)
Adversarial Examples for k-Nearest Neighbor Classifiers Based on Higher-Order Voronoi Diagrams (2020) (2)
Classifying Perturbation Types for Robustness Against Multiple Adversarial Perturbations (2020) (2)
New Directions for User Authentication : Reflex instead of Reflection (2010) (2)
The Blockchain Imitation Game (2023) (2)
Version Measuring Channel Capacity to Distinguish Undue Influence (2007) (2)
Building Open Trusted Execution Environments (2020) (2)
PrivFramework: A System for Configurable and Automated Privacy Policy Compliance (2020) (2)
The Ekiden Platform for Confidentiality-Preserving, Trustworthy, and Performant Smart Contracts (2020) (2)
Software-Based Off-Chip Memory Protection for RISC-V Trusted Execution Environments (2020) (2)
Proceedings of the AAAI-20 Workshop on Intelligent Process Automation (IPA-20) (2020) (1)
Title Private and continual release of statistics (2010) (1)
Detecting and preventing control-flow hijacking attacks in commodity software (2008) (1)
AI and Security: Lessons, Challenges and Future Directions (2020) (1)
FPGate: The Last Building Block For A Practical CFI Solution (2012) (1)
Formal verification for computer security: Lessons learned and future directions (2016) (1)
SoK: Data Privacy in Virtual Reality (2023) (1)
Perturbation type categorization for multiple adversarial perturbation robustness (2022) (1)
Hierarchical Imitation Learning via Variational Inference of Control Programs (2018) (1)
An End-to-End Approach for Natural Language to IFTTT Program Translation (2016) (1)
1 Automatically Identifying Trigger-based Behavior in Malware (2007) (1)
The Trilemma of Stablecoin (2021) (1)
Dynamic Binary Analysis Platform (2013) (1)
Measuring channel capacity to distinguish undue influence (abstract only) (2009) (1)
Unpacking How Decentralized Autonomous Organizations (DAOs) Work in Practice (2023) (0)
Unique Identification of 50, 000+ Virtual Reality Users from Head & Hand Motion Data (2023) (0)
Security cloud service framework for hardening in the field code of mobile software applications (2017) (0)
Session details: Connecting to the web 2.0 (2009) (0)
zkBridge (2022) (0)
Differentially Private Frequency Moments Estimation with Polylogarithmic Space (2021) (0)
Specular: Towards Trust-minimized Blockchain Execution Scalability with EVM-native Fraud Proofs (2022) (0)
The Sky Above The Clouds (2022) (0)
Blockchain Large Language Models (2023) (0)
ConsensusDay '22: ACM Workshop on Developments in Consensus (2022) (0)
Imitation Learning of Hierarchical Programs via Variational Inference (2018) (0)
How things Work and Fail (2012) (0)
Security of Machine Learning (2019) (0)
Title Optimal lower bound for differentially private multi-partyaggregation (2012) (0)
VoteTrust: A System to Defend against Social Network Sybils in Facebook (2018) (0)
Dynamic Quarantine of Internet Worms (CMU-PDL-03-108) (2003) (0)
A Critical Analysis of Distribution Shift (2021) (0)
Estimation based Efficient and Resilient Hierarchical In-Network Data Aggregation Scheme for Wireless Sensor Network (2016) (0)
Survivable Loosely Coupled Architectures (2003) (0)
Learning what to learn in a neural program (2018) (0)
Ecient, Secure, and Privacy-preserving Distributed Hot Item Identification (2006) (0)
Towards Building a Responsible Data Economy (2021) (0)
APPROVED FOR PUBLIC RELEASE; DISTRIBUTION UNLIMITED (2018) (0)
A Generic Scheme for Zero-Knowledge Sets (2005) (0)
ETWORK A RCHITECTURE S EARCH (2018) (0)
ADVM'21: 1st International Workshop on Adversarial Learning for Multimedia (2021) (0)
DAWN SONG CARNEGIE MELLON UNIVERSITY THURSDAY FEBRUARY 16 , 2006 Scaife Hall Auditorium Room 125 4 : 00 PM Refreshments (2006) (0)
Advanced binary analysis techniques for malware defense (2010) (0)
Signatures of Reputation (Extended Abstract) (2010) (0)
FED-χ2: Privacy Preserving Federated Correlation Test (2021) (0)
Recognizing malicious software behaviors with tree automata inference (2012) (0)
F2ED-Learning: Good Fences Make Good Neighbors (2020) (0)
Power Efficient Data Fusion Assurance Scheme for Sensor Network using Silent Negative Voting (2016) (0)
DeepSeer: Interactive RNN Explanation and Debugging via State Abstraction (2023) (0)
Verifying Server Computation (2005) (0)
Homomorphi Signature S (2002) (0)
GAMEPAD: A LEARNING ENVIRONMENT FOR THEO- (2018) (0)
Exploring the Application of Deep Learning for Supervised Learning Problems (2017) (0)
Private and Threshold Set-Intersection Lea Kissner (2004) (0)
DR AF T VTrust : Regaining Trust on Virtual Calls (2015) (0)
Sound Over-and Under-Approximations of Complexity and Information Security (SOUCIS) (2018) (0)
Efficient Oblivious RAM (2011) (0)
Cerberus: A Formal Approach to Secure and Efficient Enclave Memory Sharing (2022) (0)
E XPLORING THE A PPLICATION OF D EEP L EARNING FOR S UPERVISED L EARNING P ROBLEMS (2016) (0)
Safe Machine Learning ( October 19-20 , 2017 ) DARPA workshop at the Simons Institute Organizers : (2018) (0)
Improving Zero-positive Anomaly Detection with Differential Privacy (2019) (0)
Proactive Secret Sharing in Dynamic Environments (2019) (0)
TrojDiff: Trojan Attacks on Diffusion Models with Diverse Targets (2023) (0)
CS 161 Computer Security Fall 2008 (2008) (0)
Multi-Factor Key Derivation Function (MFKDF) (2022) (0)
Cerberus (2022) (0)
CS 161 Computer Security Fall 2008 Dawn Song Notes 3 1 Modes of Operations : A symmetric encryption scheme allows (2008) (0)
Multi-Factor Key Derivation Function (MFKDF) for Fast, Flexible, Secure,&Practical Key Management (2022) (0)

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