Article

We introduce the Weight-Curvature Index (WCI), a novel metric that captures the interplay between model parameters and loss landscape curvature to better understand and improve adversarially robust generalization in deep learning.

We propose AutoDefense, a response-filtering based multi-agent defense framework that filters harmful responses from LLMs.

We propose an availability poisoning attack for generating transferable poisoned data across different victim learners.