Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning
Authors: Amin Rakhsha, Goran Radanovic, Rati Devidze, Xiaojin Zhu, Adish Singla | Published: 2020-03-28 | Updated: 2020-08-19
攻撃タイプ
Survey of Attacks and Defenses on Edge-Deployed Neural Networks
Authors: Mihailo Isakov, Vijay Gadepally, Karen M. Gettings, Michel A. Kinsy | Published: 2019-11-27
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning
Authors: Minghong Fang, Xiaoyu Cao, Jinyuan Jia, Neil Zhenqiang Gong | Published: 2019-11-26 | Updated: 2021-11-21
Assessing Supply Chain Cyber Risks
Authors: Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua, Jordi Domingo | Published: 2019-11-26
Network Intrusion Detection based on LSTM and Feature Embedding
Authors: Hyeokmin Gwon, Chungjun Lee, Rakun Keum, Heeyoul Choi | Published: 2019-11-26
The Naked Sun: Malicious Cooperation Between Benign-Looking Processes
Authors: Fabio De Gaspari, Dorjan Hitaj, Giulio Pagnotta, Lorenzo De Carli, Luigi V. Mancini | Published: 2019-11-06
On Inferring Training Data Attributes in Machine Learning Models
Authors: Benjamin Zi Hao Zhao, Hassan Jameel Asghar, Raghav Bhaskar, Mohamed Ali Kaafar | Published: 2019-08-28 | Updated: 2019-10-12
Detection of Backdoors in Trained Classifiers Without Access to the Training Set
Authors: Zhen Xiang, David J. Miller, George Kesidis | Published: 2019-08-27 | Updated: 2020-08-19
Purifying Adversarial Perturbation with Adversarially Trained Auto-encoders
Authors: Hebi Li, Qi Xiao, Shixin Tian, Jin Tian | Published: 2019-05-26
Devil in the Detail: Attack Scenarios in Industrial Applications
Authors: Simon D. Duque Anton, Alexander Hafner, Hans Dieter Schotten | Published: 2019-05-24