adversarial robustness

Formalizing Generalization and Adversarial Robustness of Neural Networks to Weight Perturbations NeurIPS 2021 Generalized Depthwise-Separable Convolutions for Adversarially Robust and Efficient Neural Networks NeurIPS 2021 Generating Adversarial Computer Programs using Optimized Obfuscations ICLR 2021 Generating Deep Networks Explanations with Robust Attribution Alignment ACML 2021 Generative Context Pair Selection for Multi-hop Question Answering EMNLP 2021 Geometry-aware Instance-reweighted Adversarial Training ICLR 2021 Gradient-based Adversarial Attacks against Text Transformers EMNLP 2021 Group-Wise Inhibition Based Feature Regularization for Robust Classification ICCV 2021 Hidden Cost of Randomized Smoothing AISTATS 2021 HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training With Crafted Input Noise ICCV 2021 How Benign is Benign Overfitting ? ICLR 2021 How Does Mixup Help With Robustness and Generalization? ICLR 2021 How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation AAAI 2021 How Should Pre-Trained Language Models Be Fine-Tuned Towards Adversarial Robustness? NeurIPS 2021 How to Select One Among All ? An Empirical Study Towards the Robustness of Knowledge Distillation in Natural Language Understanding EMNLP 2021 Improved Corruption Robust Algorithms for Episodic Reinforcement Learning ICML 2021 Improved, Deterministic Smoothing for L_1 Certified Robustness ICML 2021 Improving Adversarial Robustness via Channel-wise Activation Suppressing ICLR 2021 Improving Adversarial Robustness via Probabilistically Compact Loss with Logit Constraints AAAI 2021 Improving Adversarial Robustness via Unlabeled Out-of-Domain Data AISTATS 2021 Improving Calibration through the Relationship with Adversarial Robustness NeurIPS 2021 Improving Ensemble Robustness by Collaboratively Promoting and Demoting Adversarial Robustness AAAI 2021 Improving Gradient Regularization using Complex-Valued Neural Networks ICML 2021 Improving Question Answering Model Robustness with Synthetic Adversarial Data Generation EMNLP 2021 Improving Robustness and Uncertainty Modelling in Neural Ordinary Differential Equations WACV 2021