Competitive Advantage Attacks to Decentralized Federated Learning
Authors: Yuqi Jia, Minghong Fang, Neil Zhenqiang Gong | Published: 2023-10-20
ポイズニング
Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
Authors: Ganghua Wang, Xun Xian, Jayanth Srinivasa, Ashish Kundu, Xuan Bi, Mingyi Hong, Jie Ding | Published: 2023-10-16 | Updated: 2023-10-18
Secure Decentralized Learning with Blockchain
Authors: Xiaoxue Zhang, Yifan Hua, Chen Qian | Published: 2023-10-10 | Updated: 2024-03-11
Transferable Availability Poisoning Attacks
Authors: Yiyong Liu, Michael Backes, Xiao Zhang | Published: 2023-10-08 | Updated: 2024-06-06
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning
Authors: Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura Freeman, Jeremy Werner | Published: 2023-10-06 | Updated: 2023-12-04
Raze to the Ground: Query-Efficient Adversarial HTML Attacks on Machine-Learning Phishing Webpage Detectors
Authors: Biagio Montaruli, Luca Demetrio, Maura Pintor, Luca Compagna, Davide Balzarotti, Battista Biggio | Published: 2023-10-04 | Updated: 2023-10-14
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks
Authors: Jorge Castillo, Phillip Rieger, Hossein Fereidooni, Qian Chen, Ahmad Sadeghi | Published: 2023-10-03
Byzantine-Resilient Federated PCA and Low Rank Column-wise Sensing
Authors: Ankit Pratap Singh, Namrata Vaswani | Published: 2023-09-25 | Updated: 2024-08-09
Deep Nonparametric Convexified Filtering for Computational Photography, Image Synthesis and Adversarial Defense
Authors: Jianqiao Wangni | Published: 2023-09-13 | Updated: 2023-09-14
Sample Complexity of Robust Learning against Evasion Attacks
Authors: Pascale Gourdeau | Published: 2023-08-23