adversarial perturbation

TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning ICCV 2021 Towards a Unified Game-Theoretic View of Adversarial Perturbations and Robustness NeurIPS 2021 Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons ICML 2021 Understanding Robustness of Transformers for Image Classification ICCV 2021 Adversarial Attacks on Probabilistic Autoregressive Forecasting Models ICML 2020 Adversarial Policies: Attacking Deep Reinforcement Learning ICLR 2020 A FRAMEWORK FOR ROBUSTNESS CERTIFICATION OF SMOOTHED CLASSIFIERS USING F-DIVERGENCES ICLR 2020 A Little Fog for a Large Turn WACV 2020 An Adversarial Perturbation Oriented Domain Adaptation Approach for Semantic Segmentation AAAI 2020 A principled approach for generating adversarial images under non-smooth dissimilarity metrics AISTATS 2020 Attack to Explain Deep Representation CVPR 2020 Biologically Inspired Mechanisms for Adversarial Robustness NeurIPS 2020 Black-box Certification and Learning under Adversarial Perturbations ICML 2020 CAG: A Real-Time Low-Cost Enhanced-Robustness High-Transferability Content-Aware Adversarial Attack Generator AAAI 2020 Certified Robustness for Top-k Predictions against Adversarial Perturbations via Randomized Smoothing ICLR 2020 Defending Against Universal Attacks Through Selective Feature Regeneration CVPR 2020 Efficient Adversarial Training With Transferable Adversarial Examples CVPR 2020 Estimating Principal Components under Adversarial Perturbations COLT 2020 FreeLB: Enhanced Adversarial Training for Natural Language Understanding ICLR 2020 Fundamental Tradeoffs between Invariance and Sensitivity to Adversarial Perturbations ICML 2020 Gradient-based Analysis of NLP Models is Manipulable EMNLP 2020 GreedyFool: Distortion-Aware Sparse Adversarial Attack NeurIPS 2020 Improper Learning for Non-Stochastic Control COLT 2020 Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition Interspeech 2020 Informative Dropout for Robust Representation Learning: A Shape-bias Perspective ICML 2020