Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
Authors: Shuai Zhao, Leilei Gan, Luu Anh Tuan, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen | Published: 2024-02-19 | Updated: 2024-03-29
防御手法
Evaluating Efficacy of Model Stealing Attacks and Defenses on Quantum Neural Networks
Authors: Satwik Kundu, Debarshi Kundu, Swaroop Ghosh | Published: 2024-02-18
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective
Authors: Lei Yu, Meng Han, Yiming Li, Changting Lin, Yao Zhang, Mingyang Zhang, Yan Liu, Haiqin Weng, Yuseok Jeon, Ka-Ho Chow, Stacy Patterson | Published: 2024-02-06
PuriDefense: Randomized Local Implicit Adversarial Purification for Defending Black-box Query-based Attacks
Authors: Ping Guo, Zhiyuan Yang, Xi Lin, Qingchuan Zhao, Qingfu Zhang | Published: 2024-01-19
Defenses in Adversarial Machine Learning: A Survey
Authors: Baoyuan Wu, Shaokui Wei, Mingli Zhu, Meixi Zheng, Zihao Zhu, Mingda Zhang, Hongrui Chen, Danni Yuan, Li Liu, Qingshan Liu | Published: 2023-12-13
Defense against ML-based Power Side-channel Attacks on DNN Accelerators with Adversarial Attacks
Authors: Xiaobei Yan, Chip Hong Chang, Tianwei Zhang | Published: 2023-12-07
Transfer Attacks and Defenses for Large Language Models on Coding Tasks
Authors: Chi Zhang, Zifan Wang, Ravi Mangal, Matt Fredrikson, Limin Jia, Corina Pasareanu | Published: 2023-11-22
Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models
Authors: Yuanbin Cheng, Koji Yamashita, Jim Follum, Nanpeng Yu | Published: 2023-11-13
Seeing is Believing: A Federated Learning Based Prototype to Detect Wireless Injection Attacks
Authors: Aadil Hussain, Nitheesh Gundapu, Sarang Drugkar, Suraj Kiran, J. Harshan, Ranjitha Prasad | Published: 2023-11-11
Does Differential Privacy Prevent Backdoor Attacks in Practice?
Authors: Fereshteh Razmi, Jian Lou, Li Xiong | Published: 2023-11-10