Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models
Authors: Pouya Samangouei, Maya Kabkab, Rama Chellappa | Published: 2018-05-17 | Updated: 2018-05-18
Literature Database
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Authors: Tribhuvanesh Orekondy, Seong Joon Oh, Yang Zhang, Bernt Schiele, Mario Fritz | Published: 2018-05-15 | Updated: 2020-09-13
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary
Authors: Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi | Published: 2018-05-15 | Updated: 2018-12-14
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