Defending Against Poisoning Attacks in Federated Learning with Blockchain
Authors: Nanqing Dong, Zhipeng Wang, Jiahao Sun, Michael Kampffmeyer, William Knottenbelt, Eric Xing | Published: 2023-07-02 | Updated: 2024-03-12
New intelligent defense systems to reduce the risks of Selfish Mining and Double-Spending attacks using Learning Automata
Authors: Seyed Ardalan Ghoreishi, Mohammad Reza Meybodi | Published: 2023-07-02 | Updated: 2024-03-08
Classifying World War II Era Ciphers with Machine Learning
Authors: Brooke Dalton, Mark Stamp | Published: 2023-07-02 | Updated: 2023-08-30
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD
Authors: Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot | Published: 2023-07-01 | Updated: 2024-07-16
Provable Robust Watermarking for AI-Generated Text
Authors: Xuandong Zhao, Prabhanjan Ananth, Lei Li, Yu-Xiang Wang | Published: 2023-06-30 | Updated: 2023-10-13
TrojanNet: Detecting Trojans in Quantum Circuits using Machine Learning
Authors: Subrata Das, Swaroop Ghosh | Published: 2023-06-29
A Survey on Enterprise Network Security: Asset Behavioral Monitoring and Distributed Attack Detection
Authors: Minzhao Lyu, Hassan Habibi Gharakheili, Vijay Sivaraman | Published: 2023-06-29
Group-based Robustness: A General Framework for Customized Robustness in the Real World
Authors: Weiran Lin, Keane Lucas, Neo Eyal, Lujo Bauer, Michael K. Reiter, Mahmood Sharif | Published: 2023-06-29 | Updated: 2024-03-10
On Practical Aspects of Aggregation Defenses against Data Poisoning Attacks
Authors: Wenxiao Wang, Soheil Feizi | Published: 2023-06-28
On the Exploitability of Instruction Tuning
Authors: Manli Shu, Jiongxiao Wang, Chen Zhu, Jonas Geiping, Chaowei Xiao, Tom Goldstein | Published: 2023-06-28 | Updated: 2023-10-28