adversarial attack

Robustness Gym: Unifying the NLP Evaluation Landscape NAACL 2021 Robustness of Graph Neural Networks at Scale NeurIPS 2021 Robust Reinforcement Learning on State Observations with Learned Optimal Adversary ICLR 2021 Self-Attention Attribution: Interpreting Information Interactions Inside Transformer AAAI 2021 SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021 Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021 Simulating Unknown Target Models for Query-Efficient Black-Box Attacks CVPR 2021 SkeletonVis: Interactive Visualization for Understanding Adversarial Attacks on Human Action Recognition Models AAAI 2021 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021 Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm ICML 2021 Stabilized Medical Image Attacks ICLR 2021 Stable Neural ODE with Lyapunov-Stable Equilibrium Points for Defending Against Adversarial Attacks NeurIPS 2021 Statistical inference for individual fairness ICLR 2021 Stochastic Linear Bandits Robust to Adversarial Attacks AISTATS 2021 SurFree: A Fast Surrogate-Free Black-Box Attack CVPR 2021 TAG: Gradient Attack on Transformer-based Language Models EMNLP 2021 Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits ICLR 2021 TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing ACL 2021 The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021 Towards Better Robust Generalization with Shift Consistency Regularization ICML 2021 Towards Efficient and Effective Adversarial Training NeurIPS 2021 Towards Face Encryption by Generating Adversarial Identity Masks ICCV 2021 Towards Feature Space Adversarial Attack by Style Perturbation AAAI 2021 Towards Universal Physical Attacks on Single Object Tracking AAAI 2021 Triggering Failures: Out-of-Distribution Detection by Learning From Local Adversarial Attacks in Semantic Segmentation ICCV 2021