adversarial robustness

CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Calibrated Surrogate Losses for Adversarially Robust Classification COLT 2020 CD-UAP: Class Discriminative Universal Adversarial Perturbation AAAI 2020 Certifai: A Toolkit for Building Trust in AI Systems IJCAI 2020 Certifiably Adversarially Robust Detection of Out-of-Distribution Data NeurIPS 2020 Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing ICLR 2020 Certified Robustness of Graph Convolution Networks for Graph Classification under Topological Attacks NeurIPS 2020 Certifying Confidence via Randomized Smoothing NeurIPS 2020 CharBERT: Character-aware Pre-trained Language Model COLING 2020 Consistency Regularization for Certified Robustness of Smoothed Classifiers NeurIPS 2020 Constructing a provably adversarially-robust classifier from a high accuracy one AISTATS 2020 Curse of Dimensionality on Randomized Smoothing for Certifiable Robustness ICML 2020 Deep Architecture Enhancing Robustness to Noise, Adversarial Attacks, and Cross-Corpus Setting for Speech Emotion Recognition Interspeech 2020 Defense Through Diverse Directions ICML 2020 (De)Randomized Smoothing for Certifiable Defense against Patch Attacks NeurIPS 2020 Do Adversarially Robust ImageNet Models Transfer Better? NeurIPS 2020 Dual Manifold Adversarial Robustness: Defense against Lp and non-Lp Adversarial Attacks NeurIPS 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Efficient Exact Verification of Binarized Neural Networks NeurIPS 2020 Efficiently Learning Adversarially Robust Halfspaces with Noise ICML 2020 Efficient Proximal Mapping of the 1-path-norm of Shallow Networks ICML 2020 Efficient Robustness Certificates for Discrete Data: Sparsity-Aware Randomized Smoothing for Graphs, Images and More ICML 2020 Efficient Verification of ReLU-Based Neural Networks via Dependency Analysis AAAI 2020 EMPIR: Ensembles of Mixed Precision Deep Networks for Increased Robustness Against Adversarial Attacks ICLR 2020 Enabling certification of verification-agnostic networks via memory-efficient semidefinite programming NeurIPS 2020