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cs.LG2025
Observational Auditing of Label Privacy
Iden Kalemaj, Luca Melis, Maxime Boucher +2
Differential privacy (DP) auditing is essential for evaluating privacy guarantees in machine learning systems. Existing auditing methods, however, pose a significant challenge for…
cs.LG2025
BLIA: Detect model memorization in binary classification model through passive Label Inference attack
Mohammad Wahiduzzaman Khan, Sheng Chen, Ilya Mironov +2
Model memorization has implications for both the generalization capacity of machine learning models and the privacy of their training data. This paper investigates label memorizati…