Carmela Troncoso | Academic Influence

Carmela Troncoso's AcademicInfluence.com Rankings

Carmela Troncoso

Criminal Justice

#258

World Rank

#287

Historical Rank

Cyber Security

#31

World Rank

#33

Historical Rank

criminal-justice Degrees

Carmela Troncoso

Computer Science

#6158

World Rank

#6492

Historical Rank

Cybersecurity

#34

World Rank

#36

Historical Rank

Algorithms

#448

World Rank

#454

Historical Rank

Database

#9001

World Rank

#9463

Historical Rank

computer-science Degrees

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Criminal Justice
Computer Science

Carmela Troncoso's Degrees

Bachelors Computer Science University of the Philippines

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Why Is Carmela Troncoso Influential?

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According to Wikipedia, Carmela González Troncoso is a Spanish telecommunication engineer and researcher specialized in privacy issues, and an LGBT+ activist. She is currently a tenure track assistant professor at École Polytechnique Fédérale de Lausanne in Switzerland and the head of the SPRING lab . Troncoso gained recognition for her leadership of the European team developing the DP-3T protocol that aims at the creation of an application to facilitate the tracing of COVID-19 infected persons without compromising on the privacy of citizens. Currently she is also member of the Swiss National COVID-19 Science Task Force in the expert group on Digital Epidemiology. In 2020, she was listed among Fortune magazine's 40 Under 40.

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Carmela Troncoso'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

Protecting location privacy: optimal strategy against localization attacks (2012) (386)
Decentralized Privacy-Preserving Proximity Tracing (2020) (279)
Engineering Privacy by Design (2011) (267)
Knock Knock, Who's There? Membership Inference on Aggregate Location Data (2017) (201)
PriPAYD: Privacy-Friendly Pay-As-You-Drive Insurance (2007) (160)
Unraveling an old cloak: k-anonymity for location privacy (2010) (154)
PrETP: Privacy-Preserving Electronic Toll Pricing (2010) (125)
PIR-Tor: Scalable Anonymous Communication Using Private Information Retrieval (2011) (93)
Early Evidence of Effectiveness of Digital Contact Tracing for SARS-CoV-2 in Switzerland (2020) (83)
OB-PWS: Obfuscation-Based Private Web Search (2012) (81)
Encrypted DNS -> Privacy? A Traffic Analysis Perspective (2019) (76)
Systematizing Decentralization and Privacy: Lessons from 15 Years of Research and Deployments (2017) (76)
Drac: An Architecture for Anonymous Low-Volume Communications (2010) (74)
Two-Sided Statistical Disclosure Attack (2007) (73)
Perfect Matching Disclosure Attacks (2008) (66)
Prolonging the Hide-and-Seek Game: Optimal Trajectory Privacy for Location-Based Services (2014) (61)
Back to the Drawing Board: Revisiting the Design of Optimal Location Privacy-preserving Mechanisms (2017) (59)
POTs: protective optimization technologies (2018) (57)
Revisiting a combinatorial approach toward measuring anonymity (2008) (55)
A research agenda for digital proximity tracing apps. (2020) (52)
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy (2017) (50)
Synthetic Data - Anonymisation Groundhog Day (2020) (49)
On the Impact of Social Network Profiling on Anonymity (2008) (48)
Vida: How to Use Bayesian Inference to De-anonymize Persistent Communications (2009) (47)
The bayesian traffic analysis of mix networks (2009) (43)
Privacy Games Along Location Traces (2016) (43)
Impact of Network Topology on Anonymity and Overhead in Low-Latency Anonymity Networks (2010) (37)
TARANET: Traffic-Analysis Resistant Anonymity at the Network Layer (2018) (34)
Is Geo-Indistinguishability What You Are Looking for? (2017) (31)
Do Dummies Pay Off? Limits of Dummy Traffic Protection in Anonymous Communications (2014) (31)
Angel or Devil? A Privacy Study of Mobile Parental Control Apps (2020) (29)
Privacy Games along Location Traces: A Game-Theoretic Framework for Optimizing Location Privacy (2021) (29)
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning (2019) (28)
Optimal sporadic location privacy preserving systems in presence of bandwidth constraints (2013) (27)
Does additional information always reduce anonymity? (2007) (27)
Understanding Statistical Disclosure: A Least Squares Approach (2012) (25)
The Wisdom of Crowds: Attacks and Optimal Constructions (2009) (24)
You cannot hide for long: de-anonymization of real-world dynamic behaviour (2013) (24)
Efficient Negative Databases from Cryptographic Hash Functions (2007) (23)
On (The Lack Of) Location Privacy in Crowdsourcing Applications (2019) (21)
Questioning the assumptions behind fairness solutions (2018) (19)
PRIPARE: A New Vision on Engineering Privacy and Security by Design (2014) (19)
Traffic Analysis Attacks on a Continuously-Observable Steganographic File System (2007) (19)
Small Data (2017) (18)
A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems (2014) (17)
Dissecting Tor Bridges: A Security Evaluation of their Private and Public Infrastructures (2017) (17)
Synthetic Data - A Privacy Mirage (2020) (16)
Disparate Vulnerability to Membership Inference Attacks (2019) (16)
ClaimChain: Improving the Security and Privacy of In-band Key Distribution for Messaging (2017) (15)
Improving secure long-term archival of digitally signed documents (2008) (15)
On the difficulty of achieving anonymity for Vehicle-2-X communication (2011) (15)
Under the Underground: Predicting Private Interactions in Underground Forums (2018) (14)
Evading classifiers in discrete domains with provable optimality guarantees (2018) (14)
Under the Hood of Membership Inference Attacks on Aggregate Location Time-Series (2019) (13)
A Metric to Evaluate Interaction Obfuscation in Online Social Networks (2012) (12)
Bugs in our Pockets: The Risks of Client-Side Scanning (2021) (12)
Scalable Anonymous Communication with Provable Security (2010) (11)
DNS Privacy not so private: the traffic analysis perspective (2018) (10)
Toward a Common Performance and Effectiveness Terminology for Digital Proximity Tracing Applications (2020) (10)
Privacy Engineering Meets Software Engineering. On the Challenges of Engineering Privacy ByDesign (2020) (10)
CrowdNotifier: Decentralized Privacy-Preserving Presence Tracing (2021) (9)
Measuring Membership Privacy on Aggregate Location Time-Series (2019) (8)
Fingerprinting Tor's hidden service log files using a timing channel (2011) (8)
WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking (2021) (8)
The Bayes Security Measure (2020) (7)
Meet the family of statistical disclosure attacks (2013) (7)
ClaimChain: Decentralized Public Key Infrastructure (2017) (7)
The watchful forensic analyst: Multi-clue information fusion with background knowledge (2013) (7)
A Framework for the Analysis of Mix-Based Steganographic File Systems (2008) (7)
VoteAgain: A scalable coercion-resistant voting system (2020) (6)
The Application of Bayesian Inference to Traffic Analysis (2009) (6)
Rethinking Location Privacy for Unknown Mobility Behaviors (2018) (6)
A Tabula Rasa Approach to Sporadic Location Privacy (2018) (5)
A Least Squares approach to user profiling in pool mix-based anonymous communication systems (2012) (5)
Feature importance scores and lossless feature pruning using Banzhaf power indices (2017) (5)
On the Privacy of Decentralized Machine Learning (2022) (5)
DatashareNetwork: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists (2020) (5)
Preliminary Analysis of Potential Harms in the Luca Tracing System (2021) (4)
GenoShare: Supporting Privacy-Informed Decisions for Sharing Exact Genomic Data (2017) (4)
Online Website Fingerprinting: Evaluating Website Fingerprinting Attacks on Tor in the Real World (2022) (4)
GenoShare: Supporting Privacy-Informed Decisions for Sharing Individual-Level Genetic Data (2020) (4)
zksk: A Library for Composable Zero-Knowledge Proofs (2019) (3)
Deploying decentralized, privacy-preserving proximity tracing (2022) (3)
This is not the padding you are looking for! On the ineffectiveness of QUIC PADDING against website fingerprinting (2022) (3)
The Bayesian Analysis of Mix Networks (2009) (3)
Algorithmic Principles for Building Efficient Overlay Computers (2008) (3)
Design and Analysis Methods for Privacy Technologies (Ontwerp- en analysemethodes van privacytechnologieën) (2011) (3)
POTs (2020) (2)
PPML '19: Privacy Preserving Machine Learning (2019) (2)
Technical Report for ID TNET-2015-00294 “ Optimal delay characteristic when the number of users is comparable to the number of rounds ” (2016) (2)
Contact Tracing Apps: Engineering Privacy in Quicksand (2021) (2)
On the the design of optimal location privacy-preserving mechanisms (2017) (2)
Understanding the effects of real-world behavior in statistical disclosure attacks (2014) (2)
Tandem: Securing Keys by Using a Central Server While Preserving Privacy (2018) (1)
TASP: Towards Anonymity Sets that Persist (2016) (1)
Advanced applications for e-ID cards in Flanders: basic research 2 (2009) (1)
Keynote Address: PETs, POTs, and Pitfalls: Rethinking the Protection of Users against Machine Learning (2019) (1)
ADAPID D15: E-Government II (2010) (1)
Datashare: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists (2020) (1)
COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies (2022) (1)
Measuring Membership Privacy on Aggregate Location Time-Series (2020) (1)
Design of Pool Mixes Against Profiling Attacks in Real Conditions (2016) (1)
Decentralizing Public Key Infrastructures with ClaimChains (2017) (1)
Why the search for a privacy-preserving data sharing mechanism is failing (2022) (1)
Proceedings of IEEE Workshop on Information Forensics and Security, WIFS 2017 (2017) (1)
Measuring Membership Privacy on Aggregate Location Time-Series (2020) (1)
You get PADDING, everybody gets PADDING! You get privacy? Evaluating practical QUIC website fingerprinting protections for the masses (2022) (1)
Why Johnny Can't Develop Mobile Crowdsourcing Applications with Location Privacy (2019) (1)
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data (2023) (0)
COOKIEGRAPH: Understanding and Detecting First-Party Tracking Cookies (2022) (0)
Editors’ Introduction (2019) (0)
G ENO S HARE : Using Avatars to Preserve Privacy on Genomics Pandora (2017) (0)
Provable Security (2018) (0)
On the (In)security of Peer-to-Peer Decentralized Machine Learning (2022) (0)
Advanced Applications for eID Cards in Flanders ADAPID Deliverable D 9 A Framework (2006) (0)
Privacy and Online Rights (0)
Method and system authentication (2014) (0)
Editors’ Introduction (2018) (0)
Editors’ Introduction (2018) (0)
Editors’ Introduction (2018) (0)
Editors’ Introduction (2019) (0)
Editors’ Introduction (2018) (0)
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training (2023) (0)
Not Yet Another Digital ID: Privacy-preserving Humanitarian Aid Distribution (2023) (0)
Panel: Adversarial {AI}: Perspectives from Academia and Industry (2019) (0)
Can Decentralized Learning be more robust than Federated Learning? (2023) (0)
Editors’ Introduction (2018) (0)
Filter design for delay-based anonymous communications (2017) (0)
Private Set Matching Protocols (2022) (0)
Private Collection Matching Protocols (2022) (0)
Lightnion: seamless anonymous communication from any web browser (2019) (0)
GenoShare: (cid:1) Supporting (cid:1) Privacy-Informed Decisions (cid:1) for (cid:1) Sharing (cid:1) Individual-Level Genetic (cid:1) Data (2020) (0)
Surveillance and privacy in the public and private sectors: panel (2019) (0)
Algorithmic Solutions for Privacy, Anonymity and Identity (2007) (0)
Using Private Information Retrieval (2011) (0)
Adversarial Robustness for Tabular Data through Cost and Utility Awareness (2022) (0)
Bayesian inference to evaluate information leakage in complex scenarios (2013) (0)
Editors’ Introduction (2019) (0)

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