On the Vulnerability of Backdoor Defenses for Federated Learning
Authors: Pei Fang, Jinghui Chen | Published: 2023-01-19
Poisoning
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
Reconstructing Individual Data Points in Federated Learning Hardened with Differential Privacy and Secure Aggregation
Authors: Franziska Boenisch, Adam Dziedzic, Roei Schuster, Ali Shahin Shamsabadi, Ilia Shumailov, Nicolas Papernot | Published: 2023-01-09 | Updated: 2023-04-12
Linear and non-linear machine learning attacks on physical unclonable functions
Authors: Michael Lachner | Published: 2023-01-06
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models
Authors: Hojjat Aghakhani, Wei Dai, Andre Manoel, Xavier Fernandes, Anant Kharkar, Christopher Kruegel, Giovanni Vigna, David Evans, Ben Zorn, Robert Sim | Published: 2023-01-06 | Updated: 2024-01-24
Backdoor Attacks Against Dataset Distillation
Authors: Yugeng Liu, Zheng Li, Michael Backes, Yun Shen, Yang Zhang | Published: 2023-01-03
Analysis of Label-Flip Poisoning Attack on Machine Learning Based Malware Detector
Authors: Kshitiz Aryal, Maanak Gupta, Mahmoud Abdelsalam | Published: 2023-01-03
Learned Systems Security
Authors: Roei Schuster, Jin Peng Zhou, Thorsten Eisenhofer, Paul Grubbs, Nicolas Papernot | Published: 2022-12-20 | Updated: 2023-01-10
Amplifying Membership Exposure via Data Poisoning
Authors: Yufei Chen, Chao Shen, Yun Shen, Cong Wang, Yang Zhang | Published: 2022-11-01
Multi-SpacePhish: Extending the Evasion-space of Adversarial Attacks against Phishing Website Detectors using Machine Learning
Authors: Ying Yuan, Giovanni Apruzzese, Mauro Conti | Published: 2022-10-24 | Updated: 2023-10-12