TrojDRL: Trojan Attacks on Deep Reinforcement Learning Agents
Authors: Panagiota Kiourti, Kacper Wardega, Susmit Jha, Wenchao Li | Published: 2019-03-01
敵対的攻撃手法
Adversarial Neural Network Inversion via Auxiliary Knowledge Alignment
Authors: Ziqi Yang, Ee-Chien Chang, Zhenkai Liang | Published: 2019-02-22
Adversarial Attacks on Graph Neural Networks via Meta Learning
Authors: Daniel Zügner, Stephan Günnemann | Published: 2019-02-22 | Updated: 2024-01-28
Quantifying Perceptual Distortion of Adversarial Examples
Authors: Matt Jordan, Naren Manoj, Surbhi Goel, Alexandros G. Dimakis | Published: 2019-02-21
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations
Authors: Eric Wong, Frank R. Schmidt, J. Zico Kolter | Published: 2019-02-21 | Updated: 2020-01-18
There are No Bit Parts for Sign Bits in Black-Box Attacks
Authors: Abdullah Al-Dujaili, Una-May O'Reilly | Published: 2019-02-19 | Updated: 2019-04-03
On Evaluating Adversarial Robustness
Authors: Nicholas Carlini, Anish Athalye, Nicolas Papernot, Wieland Brendel, Jonas Rauber, Dimitris Tsipras, Ian Goodfellow, Aleksander Madry, Alexey Kurakin | Published: 2019-02-18 | Updated: 2019-02-20
Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with Adversarial Traces
Authors: Mohammad Saidur Rahman, Mohsen Imani, Nate Mathews, Matthew Wright | Published: 2019-02-18 | Updated: 2020-10-28
A Little Is Enough: Circumventing Defenses For Distributed Learning
Authors: Moran Baruch, Gilad Baruch, Yoav Goldberg | Published: 2019-02-16
Mitigation of Adversarial Examples in RF Deep Classifiers Utilizing AutoEncoder Pre-training
Authors: Silvija Kokalj-Filipovic, Rob Miller, Nicholas Chang, Chi Leung Lau | Published: 2019-02-16