Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks
Authors: Abhishek Gupta, Zhaoyuan Yang | Published: 2018-09-15
敵対的攻撃手法
Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers
Authors: Ishai Rosenberg, Asaf Shabtai, Yuval Elovici, Lior Rokach | Published: 2018-04-23 | Updated: 2020-10-03
Black-box Adversarial Attacks with Limited Queries and Information
Authors: Andrew Ilyas, Logan Engstrom, Anish Athalye, Jessy Lin | Published: 2018-04-23 | Updated: 2018-07-11
Gradient Masking Causes CLEVER to Overestimate Adversarial Perturbation Size
Authors: Ian Goodfellow | Published: 2018-04-21
ShapeShifter: Robust Physical Adversarial Attack on Faster R-CNN Object Detector
Authors: Shang-Tse Chen, Cory Cornelius, Jason Martin, Duen Horng Chau | Published: 2018-04-16 | Updated: 2019-05-01
On the Limitation of MagNet Defense against $L_1$-based Adversarial Examples
Authors: Pei-Hsuan Lu, Pin-Yu Chen, Kang-Cheng Chen, Chia-Mu Yu | Published: 2018-04-14 | Updated: 2018-05-09
Detecting Adversarial Examples – A Lesson from Multimedia Forensics
Authors: Pascal Schöttle, Alexander Schlögl, Cecilia Pasquini, Rainer Böhme | Published: 2018-03-09
Adversarial Perturbation Intensity Achieving Chosen Intra-Technique Transferability Level for Logistic Regression
Authors: Martin Gubri | Published: 2018-01-06
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
Authors: Moustafa Alzantot, Bharathan Balaji, Mani Srivastava | Published: 2018-01-02
Building Robust Deep Neural Networks for Road Sign Detection
Authors: Arkar Min Aung, Yousef Fadila, Radian Gondokaryono, Luis Gonzalez | Published: 2017-12-26