adversarial defense

Denoised Smoothing: A Provable Defense for Pretrained Classifiers NeurIPS 2020 Detection as Regression: Certified Object Detection with Median Smoothing NeurIPS 2020 Enhancing Adversarial Defense by k-Winners-Take-All ICLR 2020 Enhancing Transformation-Based Defenses Against Adversarial Attacks with a Distribution Classifier ICLR 2020 Exploiting Joint Robustness to Adversarial Perturbations CVPR 2020 Generalization to Mitigate Synonym Substitution Attacks EMNLP 2020 GNNGuard: Defending Graph Neural Networks against Adversarial Attacks NeurIPS 2020 Guided Adversarial Attack for Evaluating and Enhancing Adversarial Defenses NeurIPS 2020 One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples CVPR 2020 On the Need for Topology-Aware Generative Models for Manifold-Based Defenses ICLR 2020 Prediction Poisoning: Towards Defenses Against DNN Model Stealing Attacks ICLR 2020 Randomization matters How to defend against strong adversarial attacks ICML 2020 Robust Local Features for Improving the Generalization of Adversarial Training ICLR 2020 Self-Robust 3D Point Recognition via Gather-Vector Guidance CVPR 2020 The Attacker’s Perspective on Automatic Speaker Verification: An Overview Interspeech 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Utilizing Multimodal Feature Consistency to Detect Adversarial Examples on Clinical Summaries EMNLP 2020 Wasserstein Smoothing: Certified Robustness against Wasserstein Adversarial Attacks AISTATS 2020 Adv-BNN: Improved Adversarial Defense through Robust Bayesian Neural Network ICLR 2019 Adversarial Defense by Stratified Convolutional Sparse Coding CVPR 2019 Adversarial Defense Through Network Profiling Based Path Extraction CVPR 2019 Adversarial Defense via Learning to Generate Diverse Attacks ICCV 2019 Adversarial Examples for Graph Data: Deep Insights into Attack and Defense IJCAI 2019 Adversarial Learning With Margin-Based Triplet Embedding Regularization ICCV 2019 Barrage of Random Transforms for Adversarially Robust Defense CVPR 2019