Author

Sachi Shome

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#machine learning Preprint Sep 2026

Compression Footprints as Security Signals for Model-Poisoning Defense in Federated Learning

Lossy compression is widely used in Federated Learning (FL) but is generally treated as an error source, while conventional poisoning defenses inspect update geometry. In this work, we instead treat the compressor's response as a security signal: the input-dependent distortion and payload behavior induced by lossy comp...

Sachi Shome, William Eiers · 0 citations

Review Jul 2026

AutoCedar: An Agentic Framework for Verifier-Guided Access Control Policy Synthesis

Large Language Models are increasingly used to turn natural-language requirements into code. In access control, that shortcut is dangerous: a generated policy can compile and read correctly while granting access that no one approved. The difficulty is not only writing policy code. It is fixing what the requirements mea...

Adarsh Vatsa, Sachi Shome, Yingming Zhou et al. · 1 citation