Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing
Authors: Jingyi Wang, Jun Sun, Peixin Zhang, Xinyu Wang | Published: 2018-05-14 | Updated: 2018-05-17
AttriGuard: A Practical Defense Against Attribute Inference Attacks via Adversarial Machine Learning
Authors: Jinyuan Jia, Neil Zhenqiang Gong | Published: 2018-05-13 | Updated: 2020-04-13
Curriculum Adversarial Training
Authors: Qi-Zhi Cai, Min Du, Chang Liu, Dawn Song | Published: 2018-05-13
Under the Underground: Predicting Private Interactions in Underground Forums
Authors: Rebekah Overdorf, Carmela Troncoso, Rachel Greenstadt, Damon McCoy | Published: 2018-05-11
Novel Deep Learning Model for Traffic Sign Detection Using Capsule Networks
Authors: Amara Dinesh Kumar | Published: 2018-05-11
Exploiting Unintended Feature Leakage in Collaborative Learning
Authors: Luca Melis, Congzheng Song, Emiliano De Cristofaro, Vitaly Shmatikov | Published: 2018-05-10 | Updated: 2018-11-01
Secure Mobile Edge Computing in IoT via Collaborative Online Learning
Authors: Bingcong Li, Tianyi Chen, Georgios B. Giannakis | Published: 2018-05-09
Detecting Compressed Cleartext Traffic from Consumer Internet of Things Devices
Authors: Daniel Hahn, Noah Apthorpe, Nick Feamster | Published: 2018-05-07
Improving Network Intrusion Detection Classifiers by Non-payload-Based Exploit-Independent Obfuscations: An Adversarial Approach
Authors: Ivan Homoliak, Martin Teknos, Martín Ochoa, Dominik Breitenbacher, Saeid Hosseini, Petr Hanacek | Published: 2018-05-07 | Updated: 2018-12-12
PRADA: Protecting against DNN Model Stealing Attacks
Authors: Mika Juuti, Sebastian Szyller, Samuel Marchal, N. Asokan | Published: 2018-05-07 | Updated: 2019-03-31