PackVFL: Efficient HE Packing for Vertical Federated Learning
Authors: Liu Yang, Shuowei Cai, Di Chai, Junxue Zhang, Han Tian, Yilun Jin, Kun Guo, Kai Chen, Qiang Yang | Published: 2024-05-01
Unleashing the Power of LLM to Infer State Machine from the Protocol Implementation
Authors: Haiyang Wei, Ligeng Chen, Zhengjie Du, Yuhan Wu, Haohui Huang, Yue Liu, Guang Cheng, Fengyuan Xu, Linzhang Wang, Bing Mao | Published: 2024-05-01 | Updated: 2025-03-27
TuBA: Cross-Lingual Transferability of Backdoor Attacks in LLMs with Instruction Tuning
Authors: Xuanli He, Jun Wang, Qiongkai Xu, Pasquale Minervini, Pontus Stenetorp, Benjamin I. P. Rubinstein, Trevor Cohn | Published: 2024-04-30 | Updated: 2025-03-17
Federated Graph Learning for EV Charging Demand Forecasting with Personalization Against Cyberattacks
Authors: Yi Li, Renyou Xie, Chaojie Li, Yi Wang, Zhaoyang Dong | Published: 2024-04-30
Why You Should Not Trust Interpretations in Machine Learning: Adversarial Attacks on Partial Dependence Plots
Authors: Xi Xin, Giles Hooker, Fei Huang | Published: 2024-04-29 | Updated: 2024-05-01
Evaluating and Mitigating Linguistic Discrimination in Large Language Models
Authors: Guoliang Dong, Haoyu Wang, Jun Sun, Xinyu Wang | Published: 2024-04-29 | Updated: 2024-05-10
Exploring the Robustness of In-Context Learning with Noisy Labels
Authors: Chen Cheng, Xinzhi Yu, Haodong Wen, Jingsong Sun, Guanzhang Yue, Yihao Zhang, Zeming Wei | Published: 2024-04-28 | Updated: 2024-05-01
Attacking Bayes: On the Adversarial Robustness of Bayesian Neural Networks
Authors: Yunzhen Feng, Tim G. J. Rudner, Nikolaos Tsilivis, Julia Kempe | Published: 2024-04-27
Evaluations of Machine Learning Privacy Defenses are Misleading
Authors: Michael Aerni, Jie Zhang, Florian Tramèr | Published: 2024-04-26 | Updated: 2024-09-05
Human-Imperceptible Retrieval Poisoning Attacks in LLM-Powered Applications
Authors: Quan Zhang, Binqi Zeng, Chijin Zhou, Gwihwan Go, Heyuan Shi, Yu Jiang | Published: 2024-04-26