Playing the Game of Universal Adversarial Perturbations
Authors: Julien Perolat, Mateusz Malinowski, Bilal Piot, Olivier Pietquin | Published: 2018-09-20 | Updated: 2018-09-25
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Time is of the Essence: Machine Learning-based Intrusion Detection in Industrial Time Series Data
Authors: Simon Duque Anton, Lia Ahrens, Daniel Fraunholz, Hans Dieter Schotten | Published: 2018-09-20
HashTran-DNN: A Framework for Enhancing Robustness of Deep Neural Networks against Adversarial Malware Samples
Authors: Deqiang Li, Ramesh Baral, Tao Li, Han Wang, Qianmu Li, Shouhuai Xu | Published: 2018-09-18
Comparison of Deep Learning and the Classical Machine Learning Algorithm for the Malware Detection
Authors: Mohit Sewak, Sanjay K. Sahay, Hemant Rathore | Published: 2018-09-16
Adversarial Reinforcement Learning for Observer Design in Autonomous Systems under Cyber Attacks
Authors: Abhishek Gupta, Zhaoyuan Yang | Published: 2018-09-15
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach
Authors: Mehmet Necip Kurt, Oyetunji Ogundijo, Chong Li, Xiaodong Wang | Published: 2018-09-14
Defensive Dropout for Hardening Deep Neural Networks under Adversarial Attacks
Authors: Siyue Wang, Xiao Wang, Pu Zhao, Wujie Wen, David Kaeli, Peter Chin, Xue Lin | Published: 2018-09-13
Query-Efficient Black-Box Attack by Active Learning
Authors: Pengcheng Li, Jinfeng Yi, Lijun Zhang | Published: 2018-09-13
Adversarial Examples: Opportunities and Challenges
Authors: Jiliang Zhang, Chen Li | Published: 2018-09-13 | Updated: 2019-09-23
Deep Learning in Information Security
Authors: Stefan Thaler, Vlado Menkovski, Milan Petkovic | Published: 2018-09-12