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08/05/2023
Janus: Safe Biometric Deduplication for Humanitarian Aid Distribution
Humanitarian organizations provide aid to people in need. To use their l...
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06/06/2023
Transferable Adversarial Robustness for Categorical Data via Universal Robust Embeddings
Research on adversarial robustness is primarily focused on image and tex...
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03/30/2023
Not Yet Another Digital ID: Privacy-preserving Humanitarian Aid Distribution
Humanitarian aid-distribution programs help bring physical goods (e.g., ...
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03/07/2023
Can Decentralized Learning be more robust than Federated Learning?
Decentralized Learning (DL) is a peer–to–peer learning approach that all...
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02/28/2023
Arbitrary Decisions are a Hidden Cost of Differentially-Private Training
Mechanisms used in privacy-preserving machine learning often aim to guar...
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01/18/2023
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
We develop the first universal password model – a password model that, o...
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08/27/2022
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Many machine learning problems use data in the tabular domains. Adversar...
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08/25/2022
COOKIEGRAPH: Measuring and Countering First-Party Tracking Cookies
Recent privacy protections by browser vendors aim to limit the abuse of ...
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06/14/2022
Private Set Matching Protocols
We introduce Private Set Matching (PSM) problems, in which a client aims...
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05/17/2022
On the Privacy of Decentralized Machine Learning
In this work, we carry out the first, in-depth, privacy analysis of Dece...
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03/15/2022
This is not the padding you are looking for! On the ineffectiveness of QUIC PADDING against website fingerprinting
Website fingerprinting (WF) is a well-know threat to users' web privacy....
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10/14/2021
Bugs in our Pockets: The Risks of Client-Side Scanning
Our increasing reliance on digital technology for personal, economic, an...
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07/23/2021
WebGraph: Capturing Advertising and Tracking Information Flows for Robust Blocking
Millions of web users directly depend on ad and tracker blocking tools t...
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03/22/2021
Preliminary Analysis of Potential Harms in the Luca Tracing System
In this document, we analyse the potential harms a large-scale deploymen...
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12/23/2020
Towards a common performance and effectiveness terminology for digital proximity tracing applications
Digital proximity tracing (DPT) for Sars-CoV-2 pandemic mitigation is a ...
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11/13/2020
Synthetic Data – A Privacy Mirage
Synthetic datasets drawn from generative models have been advertised as ...
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11/06/2020
The Bayes Security Measure
Security system designers favor worst-case security measures, such as th...
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07/16/2020
Privacy Engineering Meets Software Engineering. On the Challenges of Engineering Privacy ByDesign
Current day software development relies heavily on the use of service ar...
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05/29/2020
Datashare: A Decentralized Privacy-Preserving Search Engine for Investigative Journalists
Investigative journalists collect large numbers of digital documents dur...
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05/25/2020
Decentralized Privacy-Preserving Proximity Tracing
This document describes and analyzes a system for secure and privacy-pre...
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05/22/2020
VoteAgain: A scalable coercion-resistant voting system
The strongest threat model for voting systems considers coercion resista...
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11/06/2019
zksk: A Library for Composable Zero-Knowledge Proofs
Zero-knowledge proofs are an essential building block in many privacy-pr...
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10/22/2019
Filter Design for Delay-Based Anonymous Communications
In this work, we address the problem of designing delay-based anonymous ...
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10/22/2019
Understanding the Effects of Real-World Behavior in Statistical Disclosure Attacks
High-latency anonymous communication systems prevent passive eavesdroppe...
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10/17/2019
A Least Squares Approach to the Static Traffic Analysis of High-Latency Anonymous Communication Systems
Mixes, relaying routers that hide the relation between incoming and outg...
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10/16/2019
Meet the Family of Statistical Disclosure Attacks
Disclosure attacks aim at revealing communication patterns in anonymous ...
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06/24/2019
Encrypted DNS --> Privacy? A Traffic Analysis Perspective
Virtually every connection to an Internet service is preceded by a DNS l...
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06/02/2019
Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning
A membership inference attack (MIA) against a machine learning model ena...
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02/20/2019
Under the Hood of Membership Inference Attacks on Aggregate Location Time-Series
Aggregate location statistics are used in a number of mobility analytics...
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01/15/2019
On (The Lack Of) Location Privacy in Crowdsourcing Applications
Crowdsourcing enables application developers to benefit from large and d...
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01/15/2019
Why Johnny Can't Develop Mobile Crowdsourcing Applications with Location Privacy
Mobile crowdsourcing (MCS) relies on users' devices as sensors to perfor...
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11/27/2018
Questioning the assumptions behind fairness solutions
In addition to their benefits, optimization systems can have negative ec...
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10/25/2018
Evading classifiers in discrete domains with provable optimality guarantees
Security-critical applications such as malware, fraud, or spam detection...
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09/12/2018
A Tabula Rasa Approach to Sporadic Location Privacy
Attacks and defenses in the location privacy literature largely consider...
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09/10/2018
Tandem: Securing Keys by Using a Central Server While Preserving Privacy
Users' devices, e.g., smartphones or laptops, are typically incapable of...
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06/07/2018
POTs: Protective Optimization Technologies
In spite of their many advantages, optimization systems often neglect th...
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05/11/2018
Under the Underground: Predicting Private Interactions in Underground Forums
Underground forums where users discuss, buy, and sell illicit services a...
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02/23/2018
TARANET: Traffic-Analysis Resistant Anonymity at the NETwork layer
Modern low-latency anonymity systems, no matter whether constructed as a...
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11/14/2017
