adversarial example

Robust Classification With Convolutional Prototype Learning CVPR 2018 Robust Physical-World Attacks on Deep Learning Visual Classification CVPR 2018 Semidefinite relaxations for certifying robustness to adversarial examples NeurIPS 2018 Spatially Transformed Adversarial Examples ICLR 2018 Stochastic Activation Pruning for Robust Adversarial Defense ICLR 2018 Synthesizing Robust Adversarial Examples ICML 2018 Tackling Adversarial Examples in QA via Answer Sentence Selection ACL 2018 Thermometer Encoding: One Hot Way To Resist Adversarial Examples ICLR 2018 Thwarting Adversarial Examples: An L_0-Robust Sparse Fourier Transform NeurIPS 2018 Towards Deep Learning Models Resistant to Adversarial Attacks ICLR 2018 Towards Reverse-Engineering Black-Box Neural Networks ICLR 2018 Towards Robust Detection of Adversarial Examples NeurIPS 2018 Training Augmentation with Adversarial Examples for Robust Speech Recognition Interspeech 2018 Adversarial Examples for Evaluating Reading Comprehension Systems EMNLP 2017 Houdini: Fooling Deep Structured Visual and Speech Recognition Models with Adversarial Examples NeurIPS 2017 Lower bounds on the robustness to adversarial perturbations NeurIPS 2017 Parseval Networks: Improving Robustness to Adversarial Examples ICML 2017 Tactics of Adversarial Attack on Deep Reinforcement Learning Agents IJCAI 2017 DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks CVPR 2016 Evasion and Hardening of Tree Ensemble Classifiers ICML 2016 Measuring Neural Net Robustness with Constraints NeurIPS 2016 Deep Neural Networks Are Easily Fooled: High Confidence Predictions for Unrecognizable Images CVPR 2015