On Detecting Adversarial Perturbations
Authors: Jan Hendrik Metzen, Tim Genewein, Volker Fischer, Bastian Bischoff | Published: 2017-02-14 | Updated: 2017-02-21
Adversarial Attacks on Neural Network Policies
Authors: Sandy Huang, Nicolas Papernot, Ian Goodfellow, Yan Duan, Pieter Abbeel | Published: 2017-02-08
LeakSemantic: Identifying Abnormal Sensitive Network Transmissions in Mobile Applications
Authors: Hao Fu, Zizhan Zheng, Somdutta Bose, Matt Bishop, Prasant Mohapatra | Published: 2017-02-03 | Updated: 2017-02-07
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks
Authors: Guy Katz, Clark Barrett, David Dill, Kyle Julian, Mykel Kochenderfer | Published: 2017-02-03 | Updated: 2017-05-19
Beyond Free Riding: Quality of Indicators for Assessing Participation in Information Sharing for Threat Intelligence
Authors: Omar Al-Ibrahim, Aziz Mohaisen, Charles Kamhoua, Kevin Kwiat, Laurent Njilla | Published: 2017-02-02
Mining Anonymity: Identifying Sensitive Accounts on Twitter
Authors: Sai Teja Peddinti, Keith W. Ross, Justin Cappos | Published: 2017-02-01
Mobile phone identification through the built-in magnetometers
Authors: Gianmarco Baldini, Gary Steri, Raimondo Giuliani, Vladimir Kyovtorov | Published: 2017-01-26
Learn&Fuzz: Machine Learning for Input Fuzzing
Authors: Patrice Godefroid, Hila Peleg, Rishabh Singh | Published: 2017-01-25
Malicious URL Detection using Machine Learning: A Survey
Authors: Doyen Sahoo, Chenghao Liu, Steven C. H. Hoi | Published: 2017-01-25 | Updated: 2019-08-21
Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning
Authors: Rock Stevens, Octavian Suciu, Andrew Ruef, Sanghyun Hong, Michael Hicks, Tudor Dumitraş | Published: 2017-01-17