86 citations · 387 across the 45 of their papers we have counts for
5 papers · 1 filter
Adversarial Robustness for Tabular Data through Cost and Utility Awareness
Klim Kireev, Bogdan Kulynych, Carmela Troncoso
Many safety-critical applications of machine learning, such as fraud or abuse detection, use data in tabular domains. Adversarial examples can be particularly damaging for these ap…
COOKIEGRAPH: Understanding and Detecting First-Party Tracking Cookies
Shaoor Munir, Sandra Siby, Umar Iqbal +3
As third-party cookie blocking is becoming the norm in browsers, advertisers and trackers have started to use first-party cookies for tracking. We conduct a differential measuremen…
Private Collection Matching Protocols
Kasra EdalatNejad, Mathilde Raynal, Wouter Lueks +1
We introduce Private Collection Matching (PCM) problems, in which a client aims to determine whether a collection of sets owned by a server matches their interests. Existing privac…
On the (In)security of Peer-to-Peer Decentralized Machine Learning
Dario Pasquini, Mathilde Raynal, Carmela Troncoso
In this work, we carry out the first, in-depth, privacy analysis of Decentralized Learning -- a collaborative machine learning framework aimed at addressing the main limitations of…
You get PADDING, everybody gets PADDING! You get privacy? Evaluating practical QUIC website fingerprinting protections for the masses
Sandra Siby, Ludovic Barman, Christopher Wood +3
Website fingerprinting (WF) is a well-know threat to users' web privacy. New internet standards, such as QUIC, include padding to support defenses against WF. Previous work only an…