Active Deep Learning Attacks under Strict Rate Limitations for Online API Calls
Authors: Yi Shi, Yalin E. Sagduyu, Kemal Davaslioglu, Jason H. Li | Published: 2018-11-05
敵対的サンプル
Excessive Invariance Causes Adversarial Vulnerability
Authors: Jörn-Henrik Jacobsen, Jens Behrmann, Richard Zemel, Matthias Bethge | Published: 2018-11-01 | Updated: 2020-07-12
Robust Audio Adversarial Example for a Physical Attack
Authors: Hiromu Yakura, Jun Sakuma | Published: 2018-10-28 | Updated: 2019-08-19
Exploring Adversarial Examples in Malware Detection
Authors: Octavian Suciu, Scott E. Coull, Jeffrey Johns | Published: 2018-10-18 | Updated: 2019-04-13
Adversarial Examples – A Complete Characterisation of the Phenomenon
Authors: Alexandru Constantin Serban, Erik Poll, Joost Visser | Published: 2018-10-02 | Updated: 2019-02-17
Adversarial Attacks and Defences: A Survey
Authors: Anirban Chakraborty, Manaar Alam, Vishal Dey, Anupam Chattopadhyay, Debdeep Mukhopadhyay | Published: 2018-09-28
Adversarial Recommendation: Attack of the Learned Fake Users
Authors: Konstantina Christakopoulou, Arindam Banerjee | Published: 2018-09-21
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
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
Adversarial Examples: Opportunities and Challenges
Authors: Jiliang Zhang, Chen Li | Published: 2018-09-13 | Updated: 2019-09-23