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Papers
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
AAAI 2025
Disentangled Information Bottleneck for Adversarial Text Defense
EMNLP 2025
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
CVPR 2024
On the Duality Between Sharpness-Aware Minimization and Adversarial Training
ICML 2024
Stochastic positional embeddings improve masked image modeling
ICML 2024
Out-of-Domain Robustness via Targeted Augmentations
ICML 2023
An Investigation of the (In)effectiveness of Counterfactually Augmented Data
ACL 2022
Improving the Adversarial Robustness of NLP Models by Information Bottleneck
ACL 2022
What Can the Neural Tangent Kernel Tell Us About Adversarial Robustness?
NeurIPS 2022
Distilling Robust and Non-Robust Features in Adversarial Examples by Information Bottleneck
NeurIPS 2021
A Spectral View of Adversarially Robust Features
NeurIPS 2018
Why do ASR Systems Despite Neural Nets Still Depend on Robust Features
Interspeech 2016