Adversarial Learning

PointGuard: Provably Robust 3D Point Cloud Classification CVPR 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021 Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction ACL 2021 Power up! Robust Graph Convolutional Network via Graph Powering AAAI 2021 Practical Relative Order Attack in Deep Ranking ICCV 2021 Predictive Adversarial Learning from Positive and Unlabeled Data AAAI 2021 Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings CVPR 2021 Proactive Privacy-preserving Learning for Retrieval AAAI 2021 Probabilistic Margins for Instance Reweighting in Adversarial Training NeurIPS 2021 Progressive Adversarial Learning for Bootstrapping: A Case Study on Entity Set Expansion EMNLP 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks CVPR 2021 Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021 Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation EMNLP 2021 Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft AAAI 2021 Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization ICCV 2021 Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training NeurIPS 2021 Recent Advances in Adversarial Training for Adversarial Robustness IJCAI 2021 Reciprocal Landmark Detection and Tracking With Extremely Few Annotations CVPR 2021 Reconstruction Attack on Instance Encoding for Language Understanding EMNLP 2021 Re-embedding Difficult Samples via Mutual Information Constrained Semantically Oversampling for Imbalanced Text Classification EMNLP 2021 Re-Energizing Domain Discriminator With Sample Relabeling for Adversarial Domain Adaptation ICCV 2021 Regressive Domain Adaptation for Unsupervised Keypoint Detection CVPR 2021 Regularizing Generative Adversarial Networks Under Limited Data CVPR 2021 Regularizing Neural Networks via Adversarial Model Perturbation CVPR 2021