Xinyi Wang

Adversarial Bottleneck Method for Vision-Language Large Model Explainability

LACE: Lightweight Attribution-guided Concept Evolution for Continual Learning

Signed-dictionary and Nonnegative-activation Decomposition for Concept Bottleneck Models

Can we trust the attribution method?

Conceptual Archetype Decomposition for Interpretable and Generalizable Model Decisions

C2MF: Consistent and Concept-Unified Matrix Factorization for Interpretable and Robust Concept Discovery

Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution

Splitting & Integrating: Out-of-Distribution Detection via Adversarial Gradient Attribution

PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN

K&L: Penetrating Backdoor Defense with Key and Locks