Adversarial Learning

A Self-supervised Approach for Adversarial Robustness CVPR 2020 A Target-Agnostic Attack on Deep Models: Exploiting Security Vulnerabilities of Transfer Learning ICLR 2020 Attack of the Tails: Yes, You Really Can Backdoor Federated Learning NeurIPS 2020 Attacks Which Do Not Kill Training Make Adversarial Learning Stronger ICML 2020 Attack to Explain Deep Representation CVPR 2020 AttAN: Attention Adversarial Networks for 3D Point Cloud Semantic Segmentation IJCAI 2020 Attentive Adversarial Network for Large-Scale Sleep Staging MLHC 2020 Attentive User-Engaged Adversarial Neural Network for Community Question Answering AAAI 2020 Augmenting Generative Adversarial Networks for Speech Emotion Recognition Interspeech 2020 A U-Net Based Discriminator for Generative Adversarial Networks CVPR 2020 Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning AAAI 2020 Automatic Detection of Generated Text is Easiest when Humans are Fooled ACL 2020 Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training EMNLP 2020 Background Matting: The World Is Your Green Screen CVPR 2020 Backpropagating Linearly Improves Transferability of Adversarial Examples NeurIPS 2020 BAE: BERT-based Adversarial Examples for Text Classification EMNLP 2020 Balanced Joint Adversarial Training for Robust Intent Detection and Slot Filling COLING 2020 Bayesian Adversarial Attack on Graph Neural Networks (Student Abstract) AAAI 2020 BayesOpt Adversarial Attack ICLR 2020 Benchmarking Adversarial Robustness on Image Classification CVPR 2020 BERT-ATTACK: Adversarial Attack Against BERT Using BERT EMNLP 2020 Beyond Digital Domain: Fooling Deep Learning Based Recognition System in Physical World AAAI 2020 Bidirectional Adversarial Training for Semi-Supervised Domain Adaptation IJCAI 2020 Biologically Inspired Mechanisms for Adversarial Robustness NeurIPS 2020 Biologically inspired sleep algorithm for increased generalization and adversarial robustness in deep neural networks ICLR 2020