Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey
Authors: Shangwei Guo, Xu Zhang, Fei Yang, Tianwei Zhang, Yan Gan, Tao Xiang, Yang Liu | Published: 2021-12-19
バックドア攻撃
On the Security & Privacy in Federated Learning
Authors: Gorka Abad, Stjepan Picek, Víctor Julio Ramírez-Durán, Aitor Urbieta | Published: 2021-12-10 | Updated: 2022-03-16
Adversarial Attacks Against Deep Generative Models on Data: A Survey
Authors: Hui Sun, Tianqing Zhu, Zhiqiu Zhang, Dawei Jin. Ping Xiong, Wanlei Zhou | Published: 2021-12-01
Living-Off-The-Land Command Detection Using Active Learning
Authors: Talha Ongun, Jack W. Stokes, Jonathan Bar Or, Ke Tian, Farid Tajaddodianfar, Joshua Neil, Christian Seifert, Alina Oprea, John C. Platt | Published: 2021-11-30
Dissecting Malware in the Wild
Authors: Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue | Published: 2021-11-28 | Updated: 2021-12-04
Bayesian Framework for Gradient Leakage
Authors: Mislav Balunović, Dimitar I. Dimitrov, Robin Staab, Martin Vechev | Published: 2021-11-08 | Updated: 2022-03-17
Get a Model! Model Hijacking Attack Against Machine Learning Models
Authors: Ahmed Salem, Michael Backes, Yang Zhang | Published: 2021-11-08
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks
Authors: Shawn Shan, Arjun Nitin Bhagoji, Haitao Zheng, Ben Y. Zhao | Published: 2021-10-13 | Updated: 2022-06-15
Evaluating Deep Learning Models and Adversarial Attacks on Accelerometer-Based Gesture Authentication
Authors: Elliu Huang, Fabio Di Troia, Mark Stamp | Published: 2021-10-03
Back in Black: A Comparative Evaluation of Recent State-Of-The-Art Black-Box Attacks
Authors: Kaleel Mahmood, Rigel Mahmood, Ethan Rathbun, Marten van Dijk | Published: 2021-09-29