Detecting Adversarial Samples for Deep Neural Networks through Mutation
Testing

Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing

14 May 2018

Jun Sun

Papers citing "Detecting Adversarial Samples for Deep Neural Networks through Mutation Testing"

8 / 8 papers shown

Title
Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders Yi Yu Yufei Wang Song Xia Wenhan Yang Shijian Lu Yap-Peng Tan A.C. Kot AAML 29 10 0 02 May 2024
Coverage Guided Testing for Recurrent Neural Networks Wei Huang Youcheng Sun Xing-E. Zhao James Sharp Wenjie Ruan Jie Meng Xiaowei Huang AAML 17 47 0 05 Nov 2019
Toward Robust Image Classification Basemah Alshemali Alta Graham Jugal Kalita AAML 29 6 0 19 Sep 2019
Input Prioritization for Testing Neural Networks Taejoon Byun Vaibhav Sharma Abhishek Vijayakumar Sanjai Rayadurgam D. Cofer AAML 24 67 0 11 Jan 2019
Efficient Two-Step Adversarial Defense for Deep Neural Networks Ting-Jui Chang Yukun He Peng Li AAML 17 11 0 08 Oct 2018
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 226 1,835 0 03 Feb 2017
Adversarial Machine Learning at Scale Alexey Kurakin Ian Goodfellow Samy Bengio AAML 261 3,109 0 04 Nov 2016
Safety Verification of Deep Neural Networks Xiaowei Huang M. Kwiatkowska Sen Wang Min Wu AAML 178 932 0 21 Oct 2016