Exploring Backdoor Attack and Defense for LLM-empowered Recommendations
Authors: Liangbo Ning, Wenqi Fan, Qing Li | Published: 2025-04-15
敵対的攻撃分析
Bypassing Prompt Injection and Jailbreak Detection in LLM Guardrails
Authors: William Hackett, Lewis Birch, Stefan Trawicki, Neeraj Suri, Peter Garraghan | Published: 2025-04-15
Adversarial Attacks Against Medical Deep Learning Systems
Authors: Samuel G. Finlayson, Hyung Won Chung, Isaac S. Kohane, Andrew L. Beam | Published: 2018-04-15 | Updated: 2019-02-04
A Grid Based Adversarial Clustering Algorithm
Authors: Wutao Wei, Nikhil Gupta, Bowei Xi | Published: 2018-04-13 | Updated: 2024-11-21
Label Sanitization against Label Flipping Poisoning Attacks
Authors: Andrea Paudice, Luis Muñoz-González, Emil C. Lupu | Published: 2018-03-02 | Updated: 2018-10-02
Generalized Byzantine-tolerant SGD
Authors: Cong Xie, Oluwasanmi Koyejo, Indranil Gupta | Published: 2018-02-27 | Updated: 2018-03-23
Understanding and Enhancing the Transferability of Adversarial Examples
Authors: Lei Wu, Zhanxing Zhu, Cheng Tai, Weinan E | Published: 2018-02-27
Robust GANs against Dishonest Adversaries
Authors: Zhi Xu, Chengtao Li, Stefanie Jegelka | Published: 2018-02-27 | Updated: 2019-10-10
On the Suitability of $L_p$-norms for Creating and Preventing Adversarial Examples
Authors: Mahmood Sharif, Lujo Bauer, Michael K. Reiter | Published: 2018-02-27 | Updated: 2018-07-27
Enhanced Attacks on Defensively Distilled Deep Neural Networks
Authors: Yujia Liu, Weiming Zhang, Shaohua Li, Nenghai Yu | Published: 2017-11-16