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"

11 / 11 papers shown

Title
MergeGuard: Efficient Thwarting of Trojan Attacks in Machine Learning Models Soheil Zibakhsh Shabgahi Yaman Jandali F. Koushanfar MoMe AAML 57 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 177 0 0 04 May 2025
Secure Transfer Learning: Training Clean Models Against Backdoor in (Both) Pre-trained Encoders and Downstream Datasets Wenjie Qu Yuxuan Zhou Tianyu Li Minghui Li Shengshan Hu Wei Luo L. Zhang AAML SILM 43 0 0 16 Apr 2025
To Think or Not to Think: Exploring the Unthinking Vulnerability in Large Reasoning Models Zihao Zhu Hongbao Zhang Ruotong Wang Ke Xu Siwei Lyu Baoyuan Wu AAML LRM 67 5 0 16 Feb 2025
Mitigating the Backdoor Effect for Multi-Task Model Merging via Safety-Aware Subspace Jinluan Yang Anke Tang Didi Zhu Zhengyu Chen Li Shen Fei Wu MoMe AAML 62 3 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 39 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 23 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 33 2 0 15 Jul 2024
Partial train and isolate, mitigate backdoor attack Yong Li Han Gao AAML 34 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 49 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 36 51 0 21 Feb 2023