TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
Authors: Wang YuHang, Junkang Guo, Aolei Liu, Kaihao Wang, Zaitong Wu, Zhenyu Liu, Wenfei Yin, Jian Liu | Published: 2025-03-02 | Updated: 2025-03-21
Adversarial Training
“Short-length” Adversarial Training Helps LLMs Defend “Long-length” Jailbreak Attacks: Theoretical and Empirical Evidence
Authors: Shaopeng Fu, Liang Ding, Di Wang | Published: 2025-02-06
Adversarial Robustness in Two-Stage Learning-to-Defer: Algorithms and Guarantees
Authors: Yannis Montreuil, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi | Published: 2025-02-03
Smoothed Embeddings for Robust Language Models
Authors: Ryo Hase, Md Rafi Ur Rashid, Ashley Lewis, Jing Liu, Toshiaki Koike-Akino, Kieran Parsons, Ye Wang | Published: 2025-01-27
Latent-space adversarial training with post-aware calibration for defending large language models against jailbreak attacks
Authors: Xin Yi, Yue Li, Linlin Wang, Xiaoling Wang, Liang He | Published: 2025-01-18
Standard-Deviation-Inspired Regularization for Improving Adversarial Robustness
Authors: Olukorede Fakorede, Modeste Atsague, Jin Tian | Published: 2024-12-27
GLL: A Differentiable Graph Learning Layer for Neural Networks
Authors: Jason Brown, Bohan Chen, Harris Hardiman-Mostow, Jeff Calder, Andrea L. Bertozzi | Published: 2024-12-11
On the Geometry of Regularization in Adversarial Training: High-Dimensional Asymptotics and Generalization Bounds
Authors: Matteo Vilucchio, Nikolaos Tsilivis, Bruno Loureiro, Julia Kempe | Published: 2024-10-21
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
Authors: Hossein Mirzaei, Mackenzie W. Mathis | Published: 2024-10-14 | Updated: 2025-01-26
Towards Calibrated Losses for Adversarial Robust Reject Option Classification
Authors: Vrund Shah, Tejas Chaudhari, Naresh Manwani | Published: 2024-10-14