From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning
Authors: Edwige Cyffers, Aurélien Bellet, Debabrota Basu | Published: 2023-02-24 | Updated: 2023-07-12
Harnessing the Speed and Accuracy of Machine Learning to Advance Cybersecurity
Authors: Khatoon Mohammed | Published: 2023-02-24 | Updated: 2024-03-02
On the Hardness of Robustness Transfer: A Perspective from Rademacher Complexity over Symmetric Difference Hypothesis Space
Authors: Yuyang Deng, Nidham Gazagnadou, Junyuan Hong, Mehrdad Mahdavi, Lingjuan Lyu | Published: 2023-02-23
Not what you’ve signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection
Authors: Kai Greshake, Sahar Abdelnabi, Shailesh Mishra, Christoph Endres, Thorsten Holz, Mario Fritz | Published: 2023-02-23 | Updated: 2023-05-05
PAD: Towards Principled Adversarial Malware Detection Against Evasion Attacks
Authors: Deqiang Li, Shicheng Cui, Yun Li, Jia Xu, Fu Xiao, Shouhuai Xu | Published: 2023-02-22 | Updated: 2023-04-06
MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
Authors: Sihui Dai, Saeed Mahloujifar, Chong Xiang, Vikash Sehwag, Pin-Yu Chen, Prateek Mittal | Published: 2023-02-21 | Updated: 2023-07-20
Generalization Bounds for Adversarial Contrastive Learning
Authors: Xin Zou, Weiwei Liu | Published: 2023-02-21
Poisoning Web-Scale Training Datasets is Practical
Authors: Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum Anderson, Andreas Terzis, Kurt Thomas, Florian Tramèr | Published: 2023-02-20 | Updated: 2024-05-06
Certified private data release for sparse Lipschitz functions
Authors: Konstantin Donhauser, Johan Lokna, Amartya Sanyal, March Boedihardjo, Robert Hönig, Fanny Yang | Published: 2023-02-19 | Updated: 2023-08-28
Attacks in Adversarial Machine Learning: A Systematic Survey from the Life-cycle Perspective
Authors: Baoyuan Wu, Zihao Zhu, Li Liu, Qingshan Liu, Zhaofeng He, Siwei Lyu | Published: 2023-02-19 | Updated: 2024-01-04