adversarial robustness

Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021 Training Certifiably Robust Neural Networks with Efficient Local Lipschitz Bounds NeurIPS 2021 Unadversarial Examples: Designing Objects for Robust Vision NeurIPS 2021 Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021 Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability ICML 2021 Understanding Invariance via Feedforward Inversion of Discriminatively Trained Classifiers ICML 2021 Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing CVPR 2021 Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models EMNLP 2021 Weight-covariance alignment for adversarially robust neural networks ICML 2021 When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021 Abstract Interpretation of Decision Tree Ensemble Classifiers AAAI 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020 A Causal View on Robustness of Neural Networks NeurIPS 2020 A Closer Look at Accuracy vs. Robustness NeurIPS 2020 Adversarial Crowdsourcing Through Robust Rank-One Matrix Completion NeurIPS 2020 Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks ICML 2020 Adversarially Robust Distillation AAAI 2020 Adversarially Robust Few-Shot Learning: A Meta-Learning Approach NeurIPS 2020 Adversarially Robust Learning Could Leverage Computational Hardness. ALT 2020 Adversarially Robust Representations with Smooth Encoders ICLR 2020 Adversarially Robust Streaming Algorithms via Differential Privacy NeurIPS 2020 Adversarially robust transfer learning ICLR 2020 Adversarial Neural Pruning with Latent Vulnerability Suppression ICML 2020 Adversarial Nonnegative Matrix Factorization ICML 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020