adversarial robustness

Single-Step Adversarial Training With Dropout Scheduling CVPR 2020 Stronger and Faster Wasserstein Adversarial Attacks ICML 2020 The Complexity of Adversarially Robust Proper Learning of Halfspaces with Agnostic Noise NeurIPS 2020 Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes CVPR 2020 Towards Adversarially Robust Knowledge Graph Embeddings AAAI 2020 Towards Certificated Model Robustness Against Weight Perturbations AAAI 2020 Towards Query-Efficient Black-Box Adversary with Zeroth-Order Natural Gradient Descent AAAI 2020 Towards Robust Image Classification Using Sequential Attention Models CVPR 2020 Towards Understanding the Dynamics of the First-Order Adversaries ICML 2020 Towards Understanding the Regularization of Adversarial Robustness on Neural Networks ICML 2020 Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations CVPR 2020 Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference ICLR 2020 Understanding and Improving Fast Adversarial Training NeurIPS 2020 Understanding Generalization in Neural Networks for Robustness against Adversarial Vulnerabilities AAAI 2020 Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models AISTATS 2020 Understanding the Limitations of Conditional Generative Models ICLR 2020 Universal Approximation with Certified Networks ICLR 2020 What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients CVPR 2020 What’s in a Name? Are BERT Named Entity Representations just as Good for any other Name? ACL 2020 When are Non-Parametric Methods Robust? ICML 2020 When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks CVPR 2020 x-Vectors Meet Adversarial Attacks: Benchmarking Adversarial Robustness in Speaker Verification Interspeech 2020 3D Volumetric Modeling with Introspective Neural Networks AAAI 2019 Achieving Verified Robustness to Symbol Substitutions via Interval Bound Propagation EMNLP 2019 A Convex Relaxation Barrier to Tight Robustness Verification of Neural Networks NeurIPS 2019