Adversarial Learning

Nonzero-sum Adversarial Hypothesis Testing Games NeurIPS 2019 On Committee Representations of Adversarial Learning Models for Question-Answer Ranking ACL 2019 On the Hardness of Robust Classification NeurIPS 2019 Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness Against Adversarial Attack CVPR 2019 Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019 R3 Adversarial Network for Cross Model Face Recognition CVPR 2019 RecurJac: An Efficient Recursive Algorithm for Bounding Jacobian Matrix of Neural Networks and Its Applications AAAI 2019 Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses AAAI 2019 Reinforcement Learning under Threats AAAI 2019 Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019 Robustness of 3D Deep Learning in an Adversarial Setting CVPR 2019 Robustness via Curvature Regularization, and Vice Versa CVPR 2019 Sensitivity Analysis of Deep Neural Networks AAAI 2019 SparseFool: A Few Pixels Make a Big Difference CVPR 2019 Specializing Distributional Vectors of All Words for Lexical Entailment ACL 2019 Structured Adversarial Attack: Towards General Implementation and Better Interpretability ICLR 2019 The Adversarial Attack and Detection under the Fisher Information Metric AAAI 2019 Trust Region Based Adversarial Attack on Neural Networks CVPR 2019 What Does It Mean to Learn in Deep Networks? And, How Does One Detect Adversarial Attacks? CVPR 2019 WSD-GAN: Word Sense Disambiguation Using Generative Adversarial Networks AAAI 2019 You Only Propagate Once: Accelerating Adversarial Training via Maximal Principle NeurIPS 2019 AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples ACL 2018 Adversarial Attacks on Stochastic Bandits NeurIPS 2018 Adversarial Attribute-Image Person Re-identification IJCAI 2018 Adversarial Example Generation with Syntactically Controlled Paraphrase Networks NAACL 2018