Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
Authors: Rui Wen, Michael Backes, Yang Zhang | Published: 2024-09-05
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Adversarial Attacks on Machine Learning-Aided Visualizations
Authors: Takanori Fujiwara, Kostiantyn Kucher, Junpeng Wang, Rafael M. Martins, Andreas Kerren, Anders Ynnerman | Published: 2024-09-04 | Updated: 2024-09-24
Exploiting the Vulnerability of Large Language Models via Defense-Aware Architectural Backdoor
Authors: Abdullah Arafat Miah, Yu Bi | Published: 2024-09-03 | Updated: 2024-09-09
Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor Attacks
Authors: Ziqiang Li, Yueqi Zeng, Pengfei Xia, Lei Liu, Zhangjie Fu, Bin Li | Published: 2024-08-21
Transferring Backdoors between Large Language Models by Knowledge Distillation
Authors: Pengzhou Cheng, Zongru Wu, Tianjie Ju, Wei Du, Zhuosheng Zhang Gongshen Liu | Published: 2024-08-19
Compromising Embodied Agents with Contextual Backdoor Attacks
Authors: Aishan Liu, Yuguang Zhou, Xianglong Liu, Tianyuan Zhang, Siyuan Liang, Jiakai Wang, Yanjun Pu, Tianlin Li, Junqi Zhang, Wenbo Zhou, Qing Guo, Dacheng Tao | Published: 2024-08-06
Provable Robustness of (Graph) Neural Networks Against Data Poisoning and Backdoor Attacks
Authors: Lukas Gosch, Mahalakshmi Sabanayagam, Debarghya Ghoshdastidar, Stephan Günnemann | Published: 2024-07-15 | Updated: 2024-10-14
CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models
Authors: Yuetai Li, Zhangchen Xu, Fengqing Jiang, Luyao Niu, Dinuka Sahabandu, Bhaskar Ramasubramanian, Radha Poovendran | Published: 2024-06-18 | Updated: 2025-03-27
Trading Devil: Robust backdoor attack via Stochastic investment models and Bayesian approach
Authors: Orson Mengara | Published: 2024-06-15 | Updated: 2024-09-16
RMF: A Risk Measurement Framework for Machine Learning Models
Authors: Jan Schröder, Jakub Breier | Published: 2024-06-15