
A geometric account of why post-alignment fine-tuning can pull model behavior back toward earlier training-history manifolds.
Jun 26, 2026

A trace-level diagnostic for safety failures that terminal refusal scores can miss in multi-turn reasoning models.
Jun 9, 2026

A robust monitoring framework for LLM safety that uses activation watermarking against adaptive attackers.
Mar 24, 2026

A calibrated resynthesis framework for verifying authentic multimedia content under adaptive deepfake attacks.
Dec 17, 2025

A randomized-key defense that makes watermark forgery substantially harder without adding extra utility loss.
Sep 22, 2025