Certified Robust Neural Networks: Generalization and Corruption Resistance
Authors: Amine Bennouna, Ryan Lucas, Bart Van Parys | Published: 2023-03-03 | Updated: 2023-05-18
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Automated Machine Learning for Deep Learning based Malware Detection
Authors: Austin Brown, Maanak Gupta, Mahmoud Abdelsalam | Published: 2023-03-03 | Updated: 2023-11-03
Enhancing Vulnerability Prioritization: Data-Driven Exploit Predictions with Community-Driven Insights
Authors: Jay Jacobs, Sasha Romanosky, Octavian Suciu, Benjamin Edwards, Armin Sarabi | Published: 2023-02-27 | Updated: 2023-06-15
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