Eliminating Catastrophic Overfitting Via Abnormal Adversarial Examples Regularization. - Runqi Lin; Chaojian Yu; Tongliang Liu (NeurIPS, 2023)

On the Over-Memorization During Natural, Robust and Catastrophic Overfitting. - Runqi Lin; Chaojian Yu; Bo Han 003; Tongliang Liu (ICLR, 2024)

Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency. - Runqi Lin; Chaojian Yu; Bo Han 003; Hang Su 006; Tongliang Liu (ICML, 2024)

Understanding and Enhancing the Transferability of Jailbreaking Attacks. - Runqi Lin; Bo Han 003; Fengwang Li; Tongliang Liu (ICLR, 2025)

Instance-dependent Early Stopping. - Suqin Yuan; Runqi Lin; Lei Feng 006; Bo Han 003; Tongliang Liu (ICLR, 2025)

Understanding and Enhancing the Transferability of Jailbreaking Attacks. - Runqi Lin; Bo Han; Fengwang Li; Tongling Liu (CoRR, 2025)