High-Dimensional Private Empirical Risk Minimization by Greedy Coordinate Descent
Authors: Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi | Published: 2022-07-04 | Updated: 2023-04-09
Wild Networks: Exposure of 5G Network Infrastructures to Adversarial Examples
Authors: Giovanni Apruzzese, Rodion Vladimirov, Aliya Tastemirova, Pavel Laskov | Published: 2022-07-04
Cybersecurity: Past, Present and Future
Authors: Shahid Alam | Published: 2022-07-04 | Updated: 2024-03-03
Ransomware Classification and Detection With Machine Learning Algorithms
Authors: Mohammad Masum, Md Jobair Hossain Faruk, Hossain Shahriar, Kai Qian, Dan Lo, Muhaiminul Islam Adnan | Published: 2022-07-02
FL-Defender: Combating Targeted Attacks in Federated Learning
Authors: Najeeb Jebreel, Josep Domingo-Ferrer | Published: 2022-07-02
Firenze: Model Evaluation Using Weak Signals
Authors: Bhavna Soman, Ali Torkamani, Michael J. Morais, Jeffrey Bickford, Baris Coskun | Published: 2022-07-02
The Dangers of Computational Law and Cybersecurity; Perspectives from Engineering and the AI Act
Authors: Kaspar Rosager Ludvigsen, Shishir Nagaraja, Angela Daly | Published: 2022-07-01
Effect of Homomorphic Encryption on the Performance of Training Federated Learning Generative Adversarial Networks
Authors: Ignjat Pejic, Rui Wang, Kaitai Liang | Published: 2022-07-01
When Does Differentially Private Learning Not Suffer in High Dimensions?
Authors: Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta | Published: 2022-07-01 | Updated: 2022-10-26
Threat Assessment in Machine Learning based Systems
Authors: Lionel Nganyewou Tidjon, Foutse Khomh | Published: 2022-06-30