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20212025
most citedQueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems

4 citations · 9 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CR2025

Auditing Prompt Injection Defenses Before They Reach Users: What Strong Adversaries Reveal

Xiaoxue Yang, Bozhidar Stevanoski, Matthieu Meeus +1

Large language models are increasingly deployed in user-facing products that handle sensitive personal data while interacting with untrusted external content. This makes them a pri…

cs.CR2025★ 2 cited

DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics

Yifeng Mao, Bozhidar Stevanoski, Yves-Alexandre de Montjoye

Empirical inference attacks are a popular approach for evaluating the privacy risk of data release mechanisms in practice. While an active attack literature exists to evaluate mach…

cs.LG2024★ 2 cited

Watermarking Training Data of Music Generation Models

Pascal Epple, Igor Shilov, Bozhidar Stevanoski +1

Generative Artificial Intelligence (Gen-AI) models are increasingly used to produce content across domains, including text, images, and audio. While these models represent a major…

cs.CR2024★ 4 cited

QueryCheetah: Fast Automated Discovery of Attribute Inference Attacks Against Query-Based Systems

Bozhidar Stevanoski, Ana-Maria Cretu, Yves-Alexandre de Montjoye

Query-based systems (QBSs) are one of the key approaches for sharing data. QBSs allow analysts to request aggregate information from a private protected dataset. Attacks are a cruc…

cs.LG2021★ 1 cited

Predicting the Popularity of Games on Steam

Andraž De Luisa, Jan Hartman, David Nabergoj +5

The video game industry has seen rapid growth over the last decade. Thousands of video games are released and played by millions of people every year, creating a large community of…