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
ポイズニング
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
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