3 papers
cs.DC2026
LogAct: Enabling Agentic Reliability via Shared Logs
Mahesh Balakrishnan, Ashwin Bharambe, Davide Testuggine +7
Agents are LLM-driven components that can mutate environments in powerful, arbitrary ways. Extracting guarantees for the execution of agents in production environments can be chall…
cs.LG2026
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…