Backdoor Attacks in Peer-to-Peer Federated Learning
Authors: Georgios Syros, Gokberk Yar, Simona Boboila, Cristina Nita-Rotaru, Alina Oprea | Published: 2023-01-23 | Updated: 2024-09-17
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
Authors: Tanveer Khan, Khoa Nguyen, Antonis Michalas | Published: 2023-01-20
Towards Understanding How Self-training Tolerates Data Backdoor Poisoning
Authors: Soumyadeep Pal, Ren Wang, Yuguang Yao, Sijia Liu | Published: 2023-01-20
On the Vulnerability of Backdoor Defenses for Federated Learning
Authors: Pei Fang, Jinghui Chen | Published: 2023-01-19
Universal Neural-Cracking-Machines: Self-Configurable Password Models from Auxiliary Data
Authors: Dario Pasquini, Giuseppe Ateniese, Carmela Troncoso | Published: 2023-01-18 | Updated: 2024-03-13
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy
Authors: Yusuke Kawamoto, Kazumasa Miyake, Koichi Konishi, Yutaka Oiwa | Published: 2023-01-18 | Updated: 2023-01-19
Using Topological Data Analysis to classify Encrypted Bits
Authors: Jayati Kaushik, Aaruni Kaushik, Upasana Parashar | Published: 2023-01-18
Command Line Interface Risk Modeling
Authors: Dr Anthony L. Faulds | Published: 2023-01-17
Utilization of Impedance Disparity Incurred from Switching Activities to Monitor and Characterize Firmware Activities
Authors: Md Sadik Awal, Christopher Thompson, Md Tauhidur Rahman | Published: 2023-01-17
A Review on the effectiveness of Dimensional Reduction with Computational Forensics: An Application on Malware Analysis
Authors: Aye Thaw Da Naing, Justin Soh Beng Guan, Yarzar Shwe Win, Jonathan Pan | Published: 2023-01-15