Adversarial Learning

PacGAN: The power of two samples in generative adversarial networks NeurIPS 2018 PAC-learning in the presence of adversaries NeurIPS 2018 Partial Transfer Learning With Selective Adversarial Networks CVPR 2018 Pathologies of Neural Models Make Interpretations Difficult EMNLP 2018 Permutation Invariant Training of Generative Adversarial Network for Monaural Speech Separation Interspeech 2018 Personalized Microblog Sentiment Classification via Adversarial Cross-lingual Multi-task Learning EMNLP 2018 PLASTIC: Prioritize Long and Short-term Information in Top-n Recommendation using Adversarial Training IJCAI 2018 Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks NeurIPS 2018 Pose-Guided Photorealistic Face Rotation CVPR 2018 Positive and Unlabeled Learning for Detecting Software Functional Clones with Adversarial Training IJCAI 2018 Provable Defenses against Adversarial Examples via the Convex Outer Adversarial Polytope ICML 2018 Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training ICML 2018 Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018 Re-Weighted Adversarial Adaptation Network for Unsupervised Domain Adaptation CVPR 2018 Robust Classification With Convolutional Prototype Learning CVPR 2018 Robust Detection of Adversarial Attacks by Modeling the Intrinsic Properties of Deep Neural Networks NeurIPS 2018 Robust Inference for Multiclass Classification ALT 2018 Robust Machine Comprehension Models via Adversarial Training NAACL 2018 Robustness of Classifiers to Universal Perturbations: A Geometric Perspective ICLR 2018 Robustness of conditional GANs to noisy labels NeurIPS 2018 Robust Physical-World Attacks on Deep Learning Visual Classification CVPR 2018 Scaling provable adversarial defenses NeurIPS 2018 Self-regulation: Employing a Generative Adversarial Network to Improve Event Detection ACL 2018 Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval CVPR 2018 Self-Supervised Feature Learning by Learning to Spot Artifacts CVPR 2018