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Adversarial Learning

1,500 papers

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Papers

Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation EMNLP 2021 QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval CVPR 2021 Query Complexity of Adversarial Attacks ICML 2021 Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft AAAI 2021 Recent Advances in Adversarial Training for Adversarial Robustness IJCAI 2021 Relating Adversarially Robust Generalization to Flat Minima ICCV 2021 Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective ICCV 2021 Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization CVPR 2021 Robust Deep Reinforcement Learning through Adversarial Loss NeurIPS 2021 Robustness and Adversarial Examples in Natural Language Processing EMNLP 2021 Robust Reinforcement Learning on State Observations with Learned Optimal Adversary ICLR 2021 SeqAttack: On Adversarial Attacks for Named Entity Recognition EMNLP 2021 Sequential Attacks on Kalman Filter-based Forward Collision Warning Systems AAAI 2021 Simpler Certified Radius Maximization by Propagating Covariances CVPR 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 SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness NeurIPS 2021 SPADE: A Spectral Method for Black-Box Adversarial Robustness Evaluation ICML 2021 SPECTRE: defending against backdoor attacks using robust statistics ICML 2021 SurFree: A Fast Surrogate-Free Black-Box Attack CVPR 2021 The Translucent Patch: A Physical and Universal Attack on Object Detectors CVPR 2021 Token-Aware Virtual Adversarial Training in Natural Language Understanding AAAI 2021 Towards Evaluating and Training Verifiably Robust Neural Networks CVPR 2021 Towards Feature Space Adversarial Attack by Style Perturbation AAAI 2021 Towards Robustness Against Natural Language Word Substitutions ICLR 2021