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
Poisoning
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
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation
Authors: Yanxin Yang, Ming Hu, Yue Cao, Jun Xia, Yihao Huang, Yang Liu, Mingsong Chen | Published: 2023-08-22
Test-Time Poisoning Attacks Against Test-Time Adaptation Models
Authors: Tianshuo Cong, Xinlei He, Yun Shen, Yang Zhang | Published: 2023-08-16
A Review of Adversarial Attacks in Computer Vision
Authors: Yutong Zhang, Yao Li, Yin Li, Zhichang Guo | Published: 2023-08-15
A Survey on Decentralized Federated Learning
Authors: Edoardo Gabrielli, Giovanni Pica, Gabriele Tolomei | Published: 2023-08-08