Pin‐yu Chen

Pin‐yu Chen's AcademicInfluence.com Rankings

Pin‐yu Chen

Computer Science

#8466

World Rank

#8899

Historical Rank

Algorithms

#332

World Rank

#337

Historical Rank

Machine Learning

#3473

World Rank

#3516

Historical Rank

Artificial Intelligence

#3774

World Rank

#3829

Historical Rank

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Computer Science

Pin‐yu Chen's Degrees

Bachelors Computer Science National Taiwan University

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Pin‐yu Chen'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

ZOO: Zeroth Order Optimization Based Black-box Attacks to Deep Neural Networks without Training Substitute Models (2017) (1249)
EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples (2017) (498)
Efficient Neural Network Robustness Certification with General Activation Functions (2018) (479)
Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives (2018) (401)
Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach (2018) (348)
Is Robustness the Cost of Accuracy? - A Comprehensive Study on the Robustness of 18 Deep Image Classification Models (2018) (310)
DBA: Distributed Backdoor Attacks against Federated Learning (2020) (304)
AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks (2018) (287)
Query-Efficient Hard-label Black-box Attack: An Optimization-based Approach (2018) (277)
Topology Attack and Defense for Graph Neural Networks: An Optimization Perspective (2019) (241)
One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques (2019) (227)
Seq2Sick: Evaluating the Robustness of Sequence-to-Sequence Models with Adversarial Examples (2018) (179)
Adversarial T-Shirt! Evading Person Detectors in a Physical World (2019) (172)
Smart attacks in smart grid communication networks (2012) (171)
Vision Transformers are Robust Learners (2021) (145)
Variational Quantum Circuits for Deep Reinforcement Learning (2019) (137)
On Modeling Malware Propagation in Generalized Social Networks (2011) (136)
Structured Adversarial Attack: Towards General Implementation and Better Interpretability (2018) (133)
Sign-OPT: A Query-Efficient Hard-label Adversarial Attack (2019) (127)
Characterizing Audio Adversarial Examples Using Temporal Dependency (2018) (117)
Zeroth-Order Stochastic Variance Reduction for Nonconvex Optimization (2018) (111)
Attacking the Madry Defense Model with L1-based Adversarial Examples (2017) (110)
Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations (2021) (106)
CNN-Cert: An Efficient Framework for Certifying Robustness of Convolutional Neural Networks (2018) (106)
Bridging Mode Connectivity in Loss Landscapes and Adversarial Robustness (2020) (95)
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning (2017) (94)
Practical Detection of Trojan Neural Networks: Data-Limited and Data-Free Cases (2020) (90)
On the Adversarial Robustness of Vision Transformers (2021) (88)
Word Mover’s Embedding: From Word2Vec to Document Embedding (2018) (88)
Principled Multilayer Network Embedding (2017) (84)
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning: Principals, Recent Advances, and Applications (2020) (79)
Information Fusion to Defend Intentional Attack in Internet of Things (2014) (76)
Optimal Control of Epidemic Information Dissemination Over Networks (2014) (75)
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification (2018) (70)
CAT: Customized Adversarial Training for Improved Robustness (2020) (68)
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing (2020) (67)
signSGD via Zeroth-Order Oracle (2019) (66)
Zeroth-Order Online Alternating Direction Method of Multipliers: Convergence Analysis and Applications (2017) (66)
PROVEN: Certifying Robustness of Neural Networks with a Probabilistic Approach (2018) (63)
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks (2021) (57)
Reinforcement-Learning based Portfolio Management with Augmented Asset Movement Prediction States (2020) (57)
Model Agnostic Contrastive Explanations for Structured Data (2019) (54)
Decentralizing Feature Extraction with Quantum Convolutional Neural Network for Automatic Speech Recognition (2020) (54)
Multilayer Spectral Graph Clustering via Convex Layer Aggregation: Theory and Algorithms (2017) (50)
Traffic-Aware Patching for Cyber Security in Mobile IoT (2017) (46)
Show-and-Fool: Crafting Adversarial Examples for Neural Image Captioning (2017) (46)
When Does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? (2021) (45)
Voice2Series: Reprogramming Acoustic Models for Time Series Classification (2021) (44)
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations (2020) (44)
Deep Community Detection (2014) (43)
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement (2020) (42)
AI Explainability 360: An Extensible Toolkit for Understanding Data and Machine Learning Models (2020) (41)
Information Epidemics in Complex Networks with Opportunistic Links and Dynamic Topology (2010) (40)
Transfer Learning without Knowing: Reprogramming Black-box Machine Learning Models with Scarce Data and Limited Resources (2020) (39)
When crowdsourcing meets mobile sensing: a social network perspective (2015) (39)
On the Design of Black-Box Adversarial Examples by Leveraging Gradient-Free Optimization and Operator Splitting Method (2019) (38)
Generating Contrastive Explanations with Monotonic Attribute Functions (2019) (38)
Assessing and safeguarding network resilience to nodal attacks (2014) (38)
Proper Network Interpretability Helps Adversarial Robustness in Classification (2020) (36)
Multi-path routing with end-to-end statistical QoS Provisioning in Underlay Cognitive Radio Networks (2011) (36)
Local Fiedler vector centrality for detection of deep and overlapping communities in networks (2014) (34)
ScaleCom: Scalable Sparsified Gradient Compression for Communication-Efficient Distributed Training (2021) (33)
Optimizing molecules using efficient queries from property evaluations (2020) (32)
Bypassing Feature Squeezing by Increasing Adversary Strength (2018) (31)
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses (2019) (31)
Phase Transitions in Spectral Community Detection (2014) (31)
Neural-Brane: Neural Bayesian Personalized Ranking for Attributed Network Embedding (2018) (29)
Fold2Seq: A Joint Sequence(1D)-Fold(3D) Embedding-based Generative Model for Protein Design (2021) (28)
Defending against Backdoor Attack on Deep Neural Networks (2020) (27)
Scalable Spectral Clustering Using Random Binning Features (2018) (26)
Multi-centrality graph spectral decompositions and their application to cyber intrusion detection (2015) (26)
CAFE: Catastrophic Data Leakage in Vertical Federated Learning (2021) (26)
Higher-Order Certification for Randomized Smoothing (2020) (25)
Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent (2020) (24)
Rate-improved inexact augmented Lagrangian method for constrained nonconvex optimization (2020) (24)
Rate-Delay Enhanced Multipath Transmission Scheme via Network Coding in Multihop Networks (2012) (23)
Discrete Attacks and Submodular Optimization with Applications to Text Classification (2018) (23)
Towards A Unified Min-Max Framework for Adversarial Exploration and Robustness (2019) (23)
Node removal vulnerability of the largest component of a network (2013) (23)
Evading Real-Time Person Detectors by Adversarial T-shirt (2019) (22)
Artificial intelligence method to design and fold alpha-helical structural proteins from the primary amino acid sequence (2019) (22)
Genome Architecture Mediates Transcriptional Control of Human Myogenic Reprogramming (2018) (22)
ZEROTH-ORDER STOCHASTIC PROJECTED GRADIENT DESCENT FOR NONCONVEX OPTIMIZATION (2018) (21)
Fluid intelligence is associated with cortical volume and white matter tract integrity within multiple-demand system across adult lifespan (2020) (21)
Towards Certificated Model Robustness Against Weight Perturbations (2020) (21)
Universal Phase Transition in Community Detectability under a Stochastic Block Model (2014) (21)
Why Lottery Ticket Wins? A Theoretical Perspective of Sample Complexity on Pruned Neural Networks (2021) (20)
Diffusion Models for Information Dissemination Dynamics in Wireless Complex Communication Networks (2013) (20)
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples (2018) (20)
Leveraging Latent Features for Local Explanations (2019) (20)
How Robust are Randomized Smoothing based Defenses to Data Poisoning? (2020) (20)
Optimizing Mode Connectivity via Neuron Alignment (2020) (19)
QTN-VQC: An End-to-End Learning framework for Quantum Neural Networks (2021) (19)
Enhanced Adversarial Strategically-Timed Attacks Against Deep Reinforcement Learning (2020) (19)
On Fast Adversarial Robustness Adaptation in Model-Agnostic Meta-Learning (2021) (19)
On the Limitation of MagNet Defense Against L1-Based Adversarial Examples (2018) (18)
Diminution of context association memory structure in subjects with subjective cognitive decline (2018) (18)
Fast Incremental von Neumann Graph Entropy Computation: Theory, Algorithm, and Applications (2018) (18)
Analysis of Data Dissemination and Control in Social Internet of Vehicles (2018) (18)
Sequential Defense Against Random and Intentional Attacks in Complex Networks (2015) (18)
Accelerated Distributed Dual Averaging Over Evolving Networks of Growing Connectivity (2017) (18)
Analysis of Information Delivery Dynamics in Cognitive Sensor Networks Using Epidemic Models (2017) (17)
When Causal Intervention Meets Adversarial Examples and Image Masking for Deep Neural Networks (2019) (17)
Fast Learning of Graph Neural Networks with Guaranteed Generalizability: One-hidden-layer Case (2020) (16)
Towards Verifying Robustness of Neural Networks Against Semantic Perturbations (2019) (15)
Learning Graph Topological Features via GAN (2017) (15)
Ecology of Cognitive Radio Ad Hoc Networks (2011) (15)
Optimal Control of Epidemic Information Dissemination in Mobile Ad Hoc Networks (2011) (14)
Incremental Method for Spectral Clustering of Increasing Orders (2015) (14)
Bias-Variance Tradeoff of Graph Laplacian Regularizer (2017) (14)
Causal Inference Q-Network: Toward Resilient Reinforcement Learning (2021) (13)
Microstructural differences in white matter tracts across middle to late adulthood: a diffusion MRI study on 7167 UK Biobank participants (2020) (13)
Phase Transitions and a Model Order Selection Criterion for Spectral Graph Clustering (2016) (13)
Adversarial Attack Generation Empowered by Min-Max Optimization (2019) (12)
Action Recommendation for Cyber Resilience (2015) (12)
Hidden Cost of Randomized Smoothing (2021) (12)
Towards Mitigating Audio Adversarial Perturbations (2018) (12)
Incremental eigenpair computation for graph Laplacian matrices: theory and applications (2017) (12)
Decapitation via digital epidemics: a bio-inspired transmissive attack (2016) (12)
Model Reprogramming: Resource-Efficient Cross-Domain Machine Learning (2022) (12)
Intentional Attack and Fusion-Based Defense Strategy in Complex Networks (2011) (12)
Certified Adversarial Defenses Meet Out-of-Distribution Corruptions: Benchmarking Robustness and Simple Baselines (2021) (11)
Revisiting Spectral Graph Clustering with Generative Community Models (2017) (11)
Network synchronization among femtocells (2011) (11)
An Information-Theoretic Perspective on the Relationship Between Fairness and Accuracy (2019) (11)
Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning (2021) (11)
Accelerating Antimicrobial Discovery with Controllable Deep Generative Models and Molecular Dynamics (2020) (11)
Reciprocal spectrum sharing game and mechanism in cellular systems with Cognitive Radio users (2011) (10)
Distributed Adversarial Training to Robustify Deep Neural Networks at Scale (2022) (10)
Genome Architecture Leads a Bifurcation in Cell Identity (2017) (10)
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations (2021) (9)
How does unlabeled data improve generalization in self-training? A one-hidden-layer theoretical analysis (2022) (9)
Improved Linear Convergence of Training CNNs With Generalizability Guarantees: A One-Hidden-Layer Case (2020) (9)
Heterogeneous Aging Effects on Functional Connectivity in Different Cortical Regions: A Resting-State Functional MRI Study Using Functional Data Analysis (2016) (9)
Identifying Influential Links for Event Propagation on Twitter: A Network of Networks Approach (2016) (8)
Reprogramming Language Models for Molecular Representation Learning (2020) (8)
Rethinking Randomized Smoothing for Adversarial Robustness (2020) (8)
A scalable attribute-aware network embedding system (2019) (8)
Rate–Reliability–Delay Tradeoff of Multipath Transmission Using Network Coding (2012) (8)
Revisiting Contrastive Learning through the Lens of Neighborhood Component Analysis: an Integrated Framework (2021) (7)
AI explainability 360: hands-on tutorial (2020) (7)
Holistic Adversarial Robustness of Deep Learning Models (2022) (7)
Self-Progressing Robust Training (2020) (7)
Understanding the Limits of Unsupervised Domain Adaptation via Data Poisoning (2021) (6)
ON EXTENSIONS OF CLEVER: A NEURAL NETWORK ROBUSTNESS EVALUATION ALGORITHM (2018) (6)
Multilayer spectral graph clustering via convex layer aggregation (2016) (6)
FEAST: An Automated Feature Selection Framework for Compilation Tasks (2016) (6)
Reinforcement learning based interconnection routing for adaptive traffic optimization (2019) (6)
Robust Text CAPTCHAs Using Adversarial Examples (2021) (6)
Can GAN Learn Topological Features of a Graph? (2017) (6)
Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations (2021) (6)
A Word is Worth A Thousand Dollars: Adversarial Attack on Tweets Fools Stock Prediction (2022) (6)
Fast Training of Provably Robust Neural Networks by SingleProp (2021) (6)
How and When Adversarial Robustness Transfers in Knowledge Distillation? (2021) (5)
Modeling Dynamics of Malware with Incubation Period from the View of Individual (2014) (5)
Training a Resilient Q-network against Observational Interference (2021) (5)
Predicting Deep Neural Network Generalization with Perturbation Response Curves (2021) (5)
Towards an Efficient and General Framework of Robust Training for Graph Neural Networks (2020) (5)
Beyond Adversarial Training: Min-Max Optimization in Adversarial Attack and Defense (2019) (5)
On the Supermodularity of Active Graph-Based Semi-Supervised Learning with Stieltjes Matrix Regularization (2018) (5)
When Causal Intervention Meets Image Masking and Adversarial Perturbation for Deep Neural Networks (2019) (5)
SChME at SemEval-2020 Task 1: A Model Ensemble for Detecting Lexical Semantic Change (2020) (4)
Visual Prompting for Adversarial Robustness (2022) (4)
Guaranteed Convergence of Training Convolutional Neural Networks via Accelerated Gradient Descent (2020) (4)
Enterprise Cyber Resiliency Against Lateral Movement: A Graph Theoretic Approach (2019) (4)
hpGAT: High-Order Proximity Informed Graph Attention Network (2019) (4)
AI Explainability 360 Toolkit (2020) (4)
Towards Compositional Adversarial Robustness: Generalizing Adversarial Training to Composite Semantic Perturbations (2022) (4)
AMOS: An automated model order selection algorithm for spectral graph clustering (2016) (4)
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning (2022) (4)
Supervised Collective Classification for Crowdsourcing (2015) (4)
Fake it Till You Make it: Self-Supervised Semantic Shifts for Monolingual Word Embedding Tasks (2021) (4)
Generalization Guarantee of Training Graph Convolutional Networks with Graph Topology Sampling (2022) (4)
TemPEST: Soft Template-Based Personalized EDM Subject Generation through Collaborative Summarization (2020) (4)
Pessimistic Model Selection for Offline Deep Reinforcement Learning (2021) (4)
Guest Editorial Special Issue on AI Enabled Cognitive Communication and Networking for IoT (2019) (4)
Dynamic Network Analysis of the 4D Nucleome (2018) (4)
Recent Progress in Zeroth Order Optimization and Its Applications to Adversarial Robustness in Data Mining and Machine Learning (2019) (3)
FIRST-ORDER BIFURCATION DETECTION FOR DYNAMIC COMPLEX NETWORKS (2018) (3)
Toward A Neuro-inspired Creative Decoder (2019) (3)
Adversarial Examples for Unsupervised Machine Learning Models (2021) (3)
Auto-Transfer: Learning to Route Transferrable Representations (2022) (3)
Zeroth-Order Optimization for Composite Problems with Functional Constraints (2021) (3)
Real-World Adversarial Examples Via Makeup (2022) (3)
Understanding and Improving Visual Prompting: A Label-Mapping Perspective (2022) (3)
High-Robustness, Low-Transferability Fingerprinting of Neural Networks (2021) (3)
MAML is a Noisy Contrastive Learner in Classification (2021) (2)
Poster : REMIX : Mitigating Adversarial Perturbation by Reforming , Masking and Inpainting (2018) (2)
Block Switching: A Stochastic Approach for Deep Learning Security (2020) (2)
Zeroth-Order Diffusion Adaptation Over Networks (2018) (2)
Ecology-Based DoS Attack in Cognitive Radio Networks (2016) (2)
Non-Singular Adversarial Robustness of Neural Networks (2021) (2)
AdvMS: A Multi-Source Multi-Cost Defense Against Adversarial Attacks (2020) (2)
F1 ATP synthase β subunit is a putative receptor involved in white spot syndrome virus infection in shrimp by binding with viral envelope proteins VP51B and VP150. (2020) (2)
Neural Clamping: Joint Input Perturbation and Temperature Scaling for Neural Network Calibration (2022) (2)
Buffer Occupancy and Delivery Reliability Tradeoffs for Epidemic Routing (2016) (2)
Malware Propagation and Control in Internet of Things (2016) (2)
Mean-based Best Arm Identification in Stochastic Bandits under Reward Contamination (2021) (2)
Meta Federated Learning (2021) (2)
MAML is a Noisy Contrastive Learner (2021) (2)
Zeroth-Order Hybrid Gradient Descent: Towards A Principled Black-Box Optimization Framework (2020) (2)
Distributed optimization for evolving networks of growing connectivity (2017) (2)
Phase transitions in spectral community detection of large noisy networks (2015) (2)
When Does Backdoor Attack Succeed in Image Reconstruction? A Study of Heuristics vs. Bi-Level Solution (2022) (2)
Topology control in multi-channel cognitive radio networks with non-uniform node arrangements (2011) (2)
Gi and Pal Scores: Deep Neural Network Generalization Statistics (2021) (2)
IS ORDERED WEIGHTED ℓ1 REGULARIZED REGRESSION ROBUST TO ADVERSARIAL PERTURBATION? A CASE STUDY ON OSCAR (2018) (2)
Towards creativity characterization of generative models via group-based subset scanning (2021) (2)
On the Effectiveness of Poisoning against Unsupervised Domain Adaptation (2021) (1)
A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness (2022) (1)
ON THE UTILITY OF CONDITIONAL GENERATION BASED MUTUAL INFORMATION FOR CHARACTERIZING ADVERSARIAL SUBSPACES (2018) (1)
Neural-Brane: An inductive approach for attributed network embedding (2019) (1)
Controllability, Multiplexing, and Transfer Learning in Networks using Evolutionary Learning (2018) (1)
Neural Capacitance: A New Perspective of Neural Network Selection via Edge Dynamics (2022) (1)
Considering Angle Selection When Using Ultrasound Electrode Displacement Elastography to Evaluate Radiofrequency Ablation of Tissues (2014) (1)
Generalizing Adversarial Training to Composite Semantic Perturbations (2021) (1)
DEMO: Action Recommendation for Cyber Resilience (2015) (1)
A Dynamical Systems Approach for Convergence of the Bayesian EM Algorithm (2020) (1)
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records (2021) (1)
CARBEN: Composite Adversarial Robustness Benchmark (2022) (1)
Improving Prediction Efficacy Through Abnormality Detection and Data Preprocessing (2019) (1)
Meta Adversarial Perturbations (2021) (1)
On Certifying and Improving Generalization to Unseen Domains (2022) (1)
Don't Forget to Sign the Gradients! (2021) (1)
Third Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2021) (2021) (1)
L1-BASED ADVERSARIAL EXAMPLES (2018) (1)
An objective autoselection of resting-state networks based on time course correlation (2011) (1)
Multimodal Brain Age Gap as a Mediating Indicator in the Relation between Modifiable Dementia Risk Factors and Cognitive Functioning (2020) (1)
Adversarial Examples Can Be Effective Data Augmentation for Unsupervised Machine Learning (2021) (1)
Linearity Grafting: Relaxed Neuron Pruning Helps Certifiable Robustness (2022) (1)
Author Correction: Accelerated antimicrobial discovery via deep generative models and molecular dynamics simulations (2021) (1)
Joint Edge-Model Sparse Learning is Provably Efficient for Graph Neural Networks (2023) (1)
Visual Interpretability Alone Helps Adversarial Robustness (2019) (1)
Supplementary Material for Zeroth-Order Online Alternating Direction Method of Multipliers : Convergence Analysis and Applications (2018) (1)
Multivariate and Categorical Analysis of Gaming Statistics (2015) (0)
Evaluating the Adversarial Robustness for Fourier Neural Operators (2022) (0)
Characterizing Adversarial Subspaces by Mutual Information (2019) (0)
Network Graph Based Neural Architecture Search (2021) (0)
AID: Attesting the Integrity of Deep Neural Networks (2021) (0)
An Empirical Evaluation of Zeroth-Order Optimization Methods on AI-driven Molecule Optimization (2022) (0)
Certified Interpretability Robustness for Class Activation Mapping (2023) (0)
GERPRINTING OF NEURAL NETWORKS (2021) (0)
The Fourth Workshop on Adversarial Learning Methods for Machine Learning and Data Mining (AdvML 2022) (2022) (0)
Real-World Adversarial Examples involving Makeup Application (2021) (0)
Overload: Latency Attacks on Object Detection for Edge Devices (2023) (0)
Stealthy Poisoning Attack on Certified Robustness (2020) (0)
Editorial: Safe and Trustworthy Machine Learning (2021) (0)
Attack, Defense, and Network Robustness of Internet of Things (2016) (0)
Mild to moderate levels of anxiety in a healthy population cohort are related to face recognition with negative emotions and white matter integrity (2020) (0)
Hard-label Manifolds: Unexpected Advantages of Query Efficiency for Finding On-manifold Adversarial Examples (2021) (0)
Corrections to "Learning Graph Topological Features via GAN" (2019) (0)
WORKS: AN EXTREME VALUE THEORY APPROACH (2018) (0)
Optimizing Loss Landscape Connectivity via Neuron Alignment (2019) (0)
Sieve Estimators: Consistency and Rates of Convergence (2014) (0)
GREAT Score: Global Robustness Evaluation of Adversarial Perturbation using Generative Models (2023) (0)
Toward Cyber-Resiliency Metrics for Action Recommendations Against Lateral Movement Attacks (2019) (0)
Analysis and Actions on Graph Data. (2016) (0)
AutoZOOM : Background and Methods 3 . 1 Black-box Attack Formulation and Zeroth Order Optimization (2019) (0)
INTERHEMISPHERIC STRUCTURAL AND FUNCTIONAL CONNECTIVITIES SHOW DISTINCT STRENGTHS OF ASSOCIATIONS IN HOMOTOPIC AND HETEROTOPIC CONNECTIONS (2012) (0)
Domain Adaptation for Learning Generator From Paired Few-Shot Data (2021) (0)
SPROUT: Self-Progressing Robust Training (2019) (0)
OPTIMIZATION FOR EVOLVING NETWORKS OF GROWING CONNECTIVITY (2017) (0)
Simple Transparent Adversarial Examples (2021) (0)
Active Estimation From Multimodal Data (2021) (0)
EAD : Elastic-Net Attacks to DNNs Preliminaries on Elastic-Net Regularization (2018) (0)

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