Adversarial Examples - A Complete Characterisation of the Phenomenon

Adversarial Examples - A Complete Characterisation of the Phenomenon

2 October 2018

Papers citing "Adversarial Examples - A Complete Characterisation of the Phenomenon"

10 / 10 papers shown

Title
A Survey of Uncertainty in Deep Neural Networks J. Gawlikowski Cedrique Rovile Njieutcheu Tassi Mohsin Ali Jongseo Lee Matthias Humt ... R. Roscher Muhammad Shahzad Wen Yang R. Bamler Xiaoxiang Zhu BDL UQCV OOD 32 1,109 0 07 Jul 2021
Robust Android Malware Detection System against Adversarial Attacks using Q-Learning Hemant Rathore S. K. Sahay Piyush Nikam Mohit Sewak AAML 13 61 0 27 Jan 2021
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness Ahmadreza Jeddi M. Shafiee Michelle Karg C. Scharfenberger A. Wong OOD AAML 50 63 0 02 Mar 2020
Active Subspace of Neural Networks: Structural Analysis and Universal Attacks Chunfeng Cui Kaiqi Zhang Talgat Daulbaev Julia Gusak Ivan V. Oseledets Zheng-Wei Zhang AAML 24 25 0 29 Oct 2019
Towards Robust and Stable Deep Learning Algorithms for Forward Backward Stochastic Differential Equations Batuhan Güler Alexis Laignelet P. Parpas OOD 18 16 0 25 Oct 2019
Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks Rémi Bernhard Pierre-Alain Moëllic J. Dutertre AAML MQ 22 18 0 27 Sep 2019
Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks Guy Katz Clark W. Barrett D. Dill Kyle D. Julian Mykel Kochenderfer AAML 228 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
Adversarial examples in the physical world Alexey Kurakin Ian Goodfellow Samy Bengio SILM AAML 281 5,835 0 08 Jul 2016