2 citations · 2 across the 2 of their papers we have counts for
2 papers
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.LG2024
Free Record-Level Privacy Risk Evaluation Through Artifact-Based Methods
Joseph Pollock, Igor Shilov, Euodia Dodd +1
Membership inference attacks (MIAs) are widely used to empirically assess privacy risks in machine learning models, both providing model-level vulnerability metrics and identifying…