Adversarial Learning

Training Generative Adversarial Networks in One Stage CVPR 2021 Train simultaneously, generalize better: Stability of gradient-based minimax learners ICML 2021 Turn the Combination Lock: Learnable Textual Backdoor Attacks via Word Substitution ACL 2021 Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection CVPR 2021 Understanding Robustness in Teacher-Student Setting: A New Perspective AISTATS 2021 Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack CVPR 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 Unsupervised Image Generation With Infinite Generative Adversarial Networks ICCV 2021 Unsupervised Multi-Target Domain Adaptation for Acoustic Scene Classification Interspeech 2021 Using Adversarial Attacks to Reveal the Statistical Bias in Machine Reading Comprehension Models ACL 2021 Voting for the Right Answer: Adversarial Defense for Speaker Verification Interspeech 2021 Weight-covariance alignment for adversarially robust neural networks ICML 2021 What Matters for Adversarial Imitation Learning? NeurIPS 2021 What Models Know About Their Attackers: Deriving Attacker Information From Latent Representations EMNLP 2021 When does Contrastive Learning Preserve Adversarial Robustness from Pretraining to Finetuning? NeurIPS 2021 When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks CVPR 2021 Why Adversarial Interaction Creates Non-Homogeneous Patterns: A Pseudo-Reaction-Diffusion Model for Turing Instability AAAI 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 ABSent: Cross-Lingual Sentence Representation Mapping with Bidirectional GANs AAAI 2020 Absum: Simple Regularization Method for Reducing Structural Sensitivity of Convolutional Neural Networks AAAI 2020 Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations CVPR 2020 Active Adversarial Domain Adaptation WACV 2020