It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness
Authors: Peiyu Xiong, Michael Tegegn, Jaskeerat Singh Sarin, Shubhraneel Pal, Julia Rubin | Published: 2023-03-17 | Updated: 2023-10-17
The Devil’s Advocate: Shattering the Illusion of Unexploitable Data using Diffusion Models
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2023-03-15 | Updated: 2024-01-11
Score Attack: A Lower Bound Technique for Optimal Differentially Private Learning
Authors: T. Tony Cai, Yichen Wang, Linjun Zhang | Published: 2023-03-13
A Survey on Explainable Artificial Intelligence for Cybersecurity
Authors: Gaith Rjoub, Jamal Bentahar, Omar Abdel Wahab, Rabeb Mizouni, Alyssa Song, Robin Cohen, Hadi Otrok, Azzam Mourad | Published: 2023-03-07 | Updated: 2023-06-11
Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
Authors: Yiwei Lu, Gautam Kamath, Yaoliang Yu | Published: 2023-03-07 | Updated: 2023-06-06
Certified Robust Neural Networks: Generalization and Corruption Resistance
Authors: Amine Bennouna, Ryan Lucas, Bart Van Parys | Published: 2023-03-03 | Updated: 2023-05-18
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