adversarial perturbation

Provable Robustness of ReLU networks via Maximization of Linear Regions AISTATS 2019 Rademacher Complexity for Adversarially Robust Generalization ICML 2019 Revisiting Adversarial Risk AISTATS 2019 Robustness May Be at Odds with Accuracy ICLR 2019 Robustness to Adversarial Perturbations in Learning from Incomplete Data NeurIPS 2019 Robustness Verification of Tree-based Models NeurIPS 2019 Sensitivity Analysis of Deep Neural Networks AAAI 2019 Sparse Adversarial Perturbations for Videos AAAI 2019 Structured Adversarial Attack: Towards General Implementation and Better Interpretability ICLR 2019 Trust Region Based Adversarial Attack on Neural Networks CVPR 2019 Universal Adversarial Perturbations for Speech Recognition Systems Interspeech 2019 Verification of Non-Linear Specifications for Neural Networks ICLR 2019 You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NeurIPS 2019 Adversarially Robust Generalization Requires More Data NeurIPS 2018 Adversarial TableQA: Attention Supervision for Question Answering on Tables ACML 2018 Adversarial vulnerability for any classifier NeurIPS 2018 Anonymizing k Facial Attributes via Adversarial Perturbations IJCAI 2018 A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NeurIPS 2018 A Spectral View of Adversarially Robust Features NeurIPS 2018 Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning ACL 2018 Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models ICLR 2018 Differentiable Abstract Interpretation for Provably Robust Neural Networks ICML 2018 Empirical Study of the Topology and Geometry of Deep Networks CVPR 2018 Interpretable Adversarial Perturbation in Input Embedding Space for Text IJCAI 2018 Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks NeurIPS 2018