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Adversarial Learning

1,500 papers

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Papers

Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling ICML 2021 TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness NeurIPS 2021 Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021 UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks AAAI 2021 Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021 Uncertainty-Matching Graph Neural Networks to Defend Against Poisoning Attacks AAAI 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021 Unified Source-Filter GAN: Unified Source-Filter Network Based On Factorization of Quasi-Periodic Parallel WaveGAN Interspeech 2021 Universal Spectral Adversarial Attacks for Deformable Shapes CVPR 2021 UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation Interspeech 2021 Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021 Vulnerability-Aware Poisoning Mechanism for Online RL with Unknown Dynamics ICLR 2021 Weight-covariance alignment for adversarially robust neural networks ICML 2021 What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations EMNLP 2021 You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems CVPR 2021 Zero-Shot Adversarial Quantization CVPR 2021 A Causal View on Robustness of Neural Networks NeurIPS 2020 ActiveThief: Model Extraction Using Active Learning and Unannotated Public Data AAAI 2020 Actor Critic Deep Reinforcement Learning for Neural Malware Control AAAI 2020 Adaptive Reward-Poisoning Attacks against Reinforcement Learning ICML 2020 Adversarial Learning for 3D Matching UAI 2020 Adversarially Robust Distillation AAAI 2020 Adversarial Policies: Attacking Deep Reinforcement Learning ICLR 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models ICML 2020 Adversarial robustness via robust low rank representations NeurIPS 2020