Improving Robustness of ML Classifiers against Realizable Evasion Attacks Using Conserved Features
Authors: Liang Tong, Bo Li, Chen Hajaj, Chaowei Xiao, Ning Zhang, Yevgeniy Vorobeychik | Published: 2017-08-28 | Updated: 2019-05-10
モデル抽出攻撃
Modular Learning Component Attacks: Today’s Reality, Tomorrow’s Challenge
Authors: Xinyang Zhang, Yujie Ji, Ting Wang | Published: 2017-08-25
A Survey on Resilient Machine Learning
Authors: Atul Kumar, Sameep Mehta | Published: 2017-07-11
Ensemble Adversarial Training: Attacks and Defenses
Authors: Florian Tramèr, Alexey Kurakin, Nicolas Papernot, Ian Goodfellow, Dan Boneh, Patrick McDaniel | Published: 2017-05-19 | Updated: 2020-04-26
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection
Authors: Ambra Demontis, Marco Melis, Battista Biggio, Davide Maiorca, Daniel Arp, Konrad Rieck, Igino Corona, Giorgio Giacinto, Fabio Roli | Published: 2017-04-28
Enhancing Robustness of Machine Learning Systems via Data Transformations
Authors: Arjun Nitin Bhagoji, Daniel Cullina, Chawin Sitawarin, Prateek Mittal | Published: 2017-04-09 | Updated: 2017-11-29