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Adversarial Learning

4854 directly classified papers

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Papers

Domain Agnostic Learning with Disentangled Representations ICML 2019
Wasserstein Adversarial Examples via Projected Sinkhorn Iterations ICML 2019
Adversarial Attacks on Node Embeddings via Graph Poisoning ICML 2019
Finding Mixed Nash Equilibria of Generative Adversarial Networks ICML 2019
Adversarial Regularization for End-to-End Robust Speaker Verification INTERSPEECH 2019
Self-Imitating Feedback Generation Using GAN for Computer-Assisted Pronunciation Training INTERSPEECH 2019
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks AAAI 2019
Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019
The Adversarial Attack and Detection under the Fisher Information Metric AAAI 2019
Multi-Agent Adversarial Inverse Reinforcement Learning ICML 2019
Universal Multi-Party Poisoning Attacks ICML 2019
Adversarial Examples Are a Natural Consequence of Test Error in Noise ICML 2019
Exploring the Landscape of Spatial Robustness ICML 2019
Generative Adversarial User Model for Reinforcement Learning Based Recommendation System ICML 2019
Open-ended learning in symmetric zero-sum games ICML 2019
Improving Hypernymy Prediction via Taxonomy Enhanced Adversarial Learning AAAI 2019
Heterogeneous Transfer Learning via Deep Matrix Completion with Adversarial Kernel Embedding AAAI 2019
Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization AAAI 2019
EWGAN: Entropy-Based Wasserstein GAN for Imbalanced Learning AAAI 2019
Learning from Web Data Using Adversarial Discriminative Neural Networks for Fine-Grained Classification AAAI 2019
Resisting Adversarial Attacks Using Gaussian Mixture Variational Autoencoders AAAI 2019
CycleEmotionGAN: Emotional Semantic Consistency Preserved CycleGAN for Adapting Image Emotions AAAI 2019
Re-Evaluating ADEM: A Deeper Look at Scoring Dialogue Responses AAAI 2019
Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions COLT 2019