adversarial attack

Inverting Gradients - How easy is it to break privacy in federated learning? NeurIPS 2020 Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment AAAI 2020 Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness CVPR 2020 Learning Black-Box Attackers with Transferable Priors and Query Feedback NeurIPS 2020 Learning Transferable Adversarial Examples via Ghost Networks AAAI 2020 Leveraging Extracted Model Adversaries for Improved Black Box Attacks EMNLP 2020 LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks CVPR 2020 Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations ACL 2020 MetaPoison: Practical General-purpose Clean-label Data Poisoning NeurIPS 2020 Minimally distorted Adversarial Examples with a Fast Adaptive Boundary Attack ICML 2020 Min-Max Optimization without Gradients: Convergence and Applications to Black-Box Evasion and Poisoning Attacks ICML 2020 Modeling Biological Immunity to Adversarial Examples CVPR 2020 Nesterov Accelerated Gradient and Scale Invariance for Adversarial Attacks ICLR 2020 Neuron Shapley: Discovering the Responsible Neurons NeurIPS 2020 On Breaking Deep Generative Model-based Defenses and Beyond ICML 2020 One-Shot Adversarial Attacks on Visual Tracking With Dual Attention CVPR 2020 On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020 On the Robustness of Language Encoders against Grammatical Errors ACL 2020 On the Trade-off between Adversarial and Backdoor Robustness NeurIPS 2020 Optimal Attack against Autoregressive Models by Manipulating the Environment AAAI 2020 Perturbing Across the Feature Hierarchy to Improve Standard and Strict Blackbox Attack Transferability NeurIPS 2020 PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving CVPR 2020 Physically Realizable Adversarial Examples for LiDAR Object Detection CVPR 2020 Policy Teaching via Environment Poisoning: Training-time Adversarial Attacks against Reinforcement Learning ICML 2020 Polishing Decision-Based Adversarial Noise With a Customized Sampling CVPR 2020