Adversarial Learning

A Geometry-Inspired Decision-Based Attack ICCV 2019 AIRD: Adversarial Learning Framework for Image Repurposing Detection CVPR 2019 A Little Is Enough: Circumventing Defenses For Distributed Learning NeurIPS 2019 An Adversarial Learning Framework For A Persona-Based Multi-Turn Dialogue Model NAACL 2019 Analysis by Adversarial Synthesis — A Novel Approach for Speech Vocoding Interspeech 2019 Analyzing Federated Learning through an Adversarial Lens ICML 2019 An Empirical Comparison on Imitation Learning and Reinforcement Learning for Paraphrase Generation EMNLP 2019 An Encoding Adversarial Network for Anomaly Detection ACML 2019 A New Defense Against Adversarial Images: Turning a Weakness into a Strength NeurIPS 2019 A New GAN-Based End-to-End TTS Training Algorithm Interspeech 2019 Anomaly Detection With Multiple-Hypotheses Predictions ICML 2019 An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019 An Optimal Rewiring Strategy for Cooperative Multiagent Social Learning AAAI 2019 A Novel Framework for Robustness Analysis of Visual QA Models AAAI 2019 Answer-based Adversarial Training for Generating Clarification Questions NAACL 2019 Answer-guided and Semantic Coherent Question Generation in Open-domain Conversation EMNLP 2019 Approximate Feature Collisions in Neural Nets NeurIPS 2019 ARAML: A Stable Adversarial Training Framework for Text Generation EMNLP 2019 Are adversarial examples inevitable? ICLR 2019 Are Generative Classifiers More Robust to Adversarial Attacks? ICML 2019 Are Labels Required for Improving Adversarial Robustness? NeurIPS 2019 AReS and MaRS Adversarial and MMD-Minimizing Regression for SDEs ICML 2019 Attacking Data Transforming Learners at Training Time AAAI 2019 Augmented Cyclic Adversarial Learning for Low Resource Domain Adaptation ICLR 2019 A Unified Multi-task Adversarial Learning Framework for Pharmacovigilance Mining ACL 2019