Adversarial Learning

Policy-Driven Attack: Learning to Query for Hard-label Black-box Adversarial Examples ICLR 2021 PopSkipJump: Decision-Based Attack for Probabilistic Classifiers ICML 2021 Position Bias Mitigation: A Knowledge-Aware Graph Model for Emotion Cause Extraction ACL 2021 Posterior Differential Regularization with f-divergence for Improving Model Robustness NAACL 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 PrimitiveNet: Primitive Instance Segmentation With Local Primitive Embedding Under Adversarial Metric ICCV 2021 Prior-independent Dynamic Auctions for a Value-maximizing Buyer NeurIPS 2021 Privacy-Preserving Feature Extraction for Cloud-Based Wake Word Verification Interspeech 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 Projected GANs Converge Faster NeurIPS 2021 Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing CVPR 2021 Provable Robustness of Adversarial Training for Learning Halfspaces with Noise ICML 2021 Provably robust classification of adversarial examples with detection ICLR 2021 Pushing the Right Buttons: Adversarial Evaluation of Quality Estimation EMNLP 2021 QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval CVPR 2021 Qu-ANTI-zation: Exploiting Quantization Artifacts for Achieving Adversarial Outcomes NeurIPS 2021 Query Complexity of Adversarial Attacks ICML 2021 RADDLE: An Evaluation Benchmark and Analysis Platform for Robust Task-oriented Dialog Systems ACL 2021 Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft AAAI 2021