Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware
Minimization

Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization

24 April 2023

Papers citing "Enhancing Fine-Tuning Based Backdoor Defense with Sharpness-Aware Minimization"

10 / 10 papers shown

Title
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models Soheil Zibakhsh Shabgahi Yaman Jandali F. Koushanfar MoMe AAML 45 0 0 06 May 2025
A Survey on Privacy Risks and Protection in Large Language Models Kang Chen Xiuze Zhou Yuanguo Lin Shibo Feng Li Shen Pengcheng Wu AILaw PILM 53 0 0 04 May 2025
BoT: Breaking Long Thought Processes of o1-like Large Language Models through Backdoor Attack Zihao Zhu Hongbao Zhang Mingda Zhang Ruotong Wang Guanzong Wu Ke Xu Baoyuan Wu AAML LRM 51 4 0 16 Feb 2025
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang A. Tang Didi Zhu Zhengyu Chen Li Shen Fei Wu MoMe AAML 50 2 0 17 Oct 2024
Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense Rui Min Zeyu Qin Nevin L. Zhang Li Shen Minhao Cheng AAML 24 4 0 13 Oct 2024
PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning Yukai Xu Yujie Gu Kouichi Sakurai AAML 11 0 0 18 Sep 2024
Wicked Oddities: Selectively Poisoning for Effective Clean-Label Backdoor Attacks Quang H. Nguyen Nguyen Ngoc-Hieu The-Anh Ta Thanh Nguyen-Tang Kok-Seng Wong Hoang Thanh-Tung Khoa D. Doan AAML 18 2 0 15 Jul 2024
Partial train and isolate, mitigate backdoor attack Yong Li Han Gao AAML 24 0 0 26 May 2024
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks Hao Sun Li Shen Qihuang Zhong Liang Ding Shi-Yong Chen Jingwei Sun Jing Li Guangzhong Sun Dacheng Tao 41 31 0 01 Mar 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy Yan Sun Li Shen Tiansheng Huang Liang Ding Dacheng Tao FedML 29 50 0 21 Feb 2023