DeepTrust: Multi-Step Classification through Dissimilar Adversarial Representations for Robust Android Malware Detection
Authors: Daniel Pulido-Cortázar, Daniel Gibert, Felip Manyà | Published: 2025-10-14
ロバスト性
Large Language Models Are Effective Code Watermarkers
Authors: Rui Xu, Jiawei Chen, Zhaoxia Yin, Cong Kong, Xinpeng Zhang | Published: 2025-10-13
Adversarial Robustness in One-Stage Learning-to-Defer
Authors: Yannis Montreuil, Letian Yu, Axel Carlier, Lai Xing Ng, Wei Tsang Ooi | Published: 2025-10-13
MetaDefense: Defending Finetuning-based Jailbreak Attack Before and During Generation
Authors: Weisen Jiang, Sinno Jialin Pan | Published: 2025-10-09
Machine Unlearning Meets Adversarial Robustness via Constrained Interventions on LLMs
Authors: Fatmazohra Rezkellah, Ramzi Dakhmouche | Published: 2025-10-03 | Updated: 2025-10-15
Defending MoE LLMs against Harmful Fine-Tuning via Safety Routing Alignment
Authors: Jaehan Kim, Minkyoo Song, Seungwon Shin, Sooel Son | Published: 2025-09-26 | Updated: 2025-10-09
Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection
Authors: Yihao Guo, Haocheng Bian, Liutong Zhou, Ze Wang, Zhaoyi Zhang, Francois Kawala, Milan Dean, Ian Fischer, Yuantao Peng, Noyan Tokgozoglu, Ivan Barrientos, Riyaaz Shaik, Rachel Li, Chandru Venkataraman, Reza Shifteh Far, Moses Pawar, Venkat Sundaranatha, Michael Xu, Frank Chu | Published: 2025-09-18
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
Reinforcement Unlearning
Authors: Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue | Published: 2023-12-26 | Updated: 2024-09-09
Understanding Overfitting in Adversarial Training via Kernel Regression
Authors: Teng Zhang, Kang Li | Published: 2023-04-13 | Updated: 2023-04-19