Input Reconstruction Attack against Vertical Federated Large Language Models
Authors: Fei Zheng | Published: 2023-11-07 | Updated: 2023-11-24
防御手法
PubDef: Defending Against Transfer Attacks From Public Models
Authors: Chawin Sitawarin, Jaewon Chang, David Huang, Wesson Altoyan, David Wagner | Published: 2023-10-26 | Updated: 2024-03-17
A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
Authors: Caelin G. Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira | Published: 2023-10-18
Assessing Robustness via Score-Based Adversarial Image Generation
Authors: Marcel Kollovieh, Lukas Gosch, Yan Scholten, Marten Lienen, Stephan Günnemann | Published: 2023-10-06
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
Authors: Alexander Robey, Eric Wong, Hamed Hassani, George J. Pappas | Published: 2023-10-05 | Updated: 2024-06-11
Breaking On-Chip Communication Anonymity using Flow Correlation Attacks
Authors: Hansika Weerasena, Prabhat Mishra | Published: 2023-09-27 | Updated: 2024-02-01
How Robust is Google’s Bard to Adversarial Image Attacks?
Authors: Yinpeng Dong, Huanran Chen, Jiawei Chen, Zhengwei Fang, Xiao Yang, Yichi Zhang, Yu Tian, Hang Su, Jun Zhu | Published: 2023-09-21 | Updated: 2023-10-14
Defending Against Alignment-Breaking Attacks via Robustly Aligned LLM
Authors: Bochuan Cao, Yuanpu Cao, Lu Lin, Jinghui Chen | Published: 2023-09-18 | Updated: 2024-06-12
DAD++: Improved Data-free Test Time Adversarial Defense
Authors: Gaurav Kumar Nayak, Inder Khatri, Shubham Randive, Ruchit Rawal, Anirban Chakraborty | Published: 2023-09-10
Adversarially Robust Deep Learning with Optimal-Transport-Regularized Divergences
Authors: Jeremiah Birrell, Mohammadreza Ebrahimi | Published: 2023-09-07