Xiaoming Zhang

LLM-based multi-agent systems are surprisingly vulnerable: a new RL-based attacker can evolve sophisticated, long-horizon attacks by exploiting trust in external tools.

Audio deepfake detectors trained on diffusion-reconstructed "hard" examples generalize far better to unseen attacks, slashing error rates compared to standard training.