No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
Authors: Zhibo Xing, Zijian Zhang, Zi'ang Zhang, Jiamou Liu, Liehuang Zhu, Giovanni Russello | Published: 2024-06-03
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
Authors: Weijun Li, Qiongkai Xu, Mark Dras | Published: 2024-06-03 | Updated: 2024-10-04
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
Authors: Jiaqi Xue, Mengxin Zheng, Yebowen Hu, Fei Liu, Xun Chen, Qian Lou | Published: 2024-06-03 | Updated: 2024-06-06
A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI
Authors: Alice Bizzarri, Chung-En Yu, Brian Jalaian, Fabrizio Riguzzi, Nathaniel D. Bastian | Published: 2024-06-03
Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
Authors: Thibault Simonetto, Salah Ghamizi, Maxime Cordy | Published: 2024-06-02
Transforming Computer Security and Public Trust Through the Exploration of Fine-Tuning Large Language Models
Authors: Garrett Crumrine, Izzat Alsmadi, Jesus Guerrero, Yuvaraj Munian | Published: 2024-06-02
VeriSplit: Secure and Practical Offloading of Machine Learning Inferences across IoT Devices
Authors: Han Zhang, Zifan Wang, Mihir Dhamankar, Matt Fredrikson, Yuvraj Agarwal | Published: 2024-06-02 | Updated: 2025-03-31
Exploring Vulnerabilities and Protections in Large Language Models: A Survey
Authors: Frank Weizhen Liu, Chenhui Hu | Published: 2024-06-01
Improved Techniques for Optimization-Based Jailbreaking on Large Language Models
Authors: Xiaojun Jia, Tianyu Pang, Chao Du, Yihao Huang, Jindong Gu, Yang Liu, Xiaochun Cao, Min Lin | Published: 2024-05-31 | Updated: 2024-06-05
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning
Authors: Zhangchen Xu, Fengqing Jiang, Luyao Niu, Jinyuan Jia, Bo Li, Radha Poovendran | Published: 2024-05-31 | Updated: 2024-06-05