Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Authors: Mathias Lundteigen Mohus, Jinyue Li | Published: 2023-06-01
Byzantine-Robust Clustered Federated Learning
Authors: Zhixu Tao, Kun Yang, Sanjeev R. Kulkarni | Published: 2023-06-01
Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
Authors: Andi Zhang, Mingtian Zhang, Damon Wischik | Published: 2023-06-01 | Updated: 2024-11-24
Adversarial-Aware Deep Learning System based on a Secondary Classical Machine Learning Verification Approach
Authors: Mohammed Alkhowaiter, Hisham Kholidy, Mnassar Alyami, Abdulmajeed Alghamdi, Cliff Zou | Published: 2023-06-01
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Authors: Mst Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Rahman, Atef Mohamed, Mohammad Rahman, Akond Rahman, Fan Wu | Published: 2023-06-01
Feature Engineering-Based Detection of Buffer Overflow Vulnerability in Source Code Using Neural Networks
Authors: Mst Shapna Akter, Hossain Shahriar, Juan Rodriguez Cardenas, Sheikh Iqbal Ahamed, Alfredo Cuzzocrea | Published: 2023-06-01
A Note On Interpreting Canary Exposure
Authors: Matthew Jagielski | Published: 2023-05-31 | Updated: 2023-06-02
Deception by Omission: Using Adversarial Missingness to Poison Causal Structure Learning
Authors: Deniz Koyuncu, Alex Gittens, Bülent Yener, Moti Yung | Published: 2023-05-31
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data
Authors: Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Latoschik, Louis Rosenberg, Dawn Song | Published: 2023-05-30 | Updated: 2023-06-10
Robust Lipschitz Bandits to Adversarial Corruptions
Authors: Yue Kang, Cho-Jui Hsieh, Thomas C. M. Lee | Published: 2023-05-29 | Updated: 2023-10-08