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Adversarial Learning

4854 directly classified papers

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Papers

A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019
Revisiting Adversarial Risk AISTATS 2019
Functional Adversarial Attacks NIPS 2019
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training NIPS 2019
Learning in Non-convex Games with an Optimization Oracle COLT 2019
Multi-armed Bandit Problems with Strategic Arms COLT 2019
On Target Shift in Adversarial Domain Adaptation AISTATS 2019
Inherent Tradeoffs in Learning Fair Representations NIPS 2019
Adversarial Regularization for Visual Question Answering: Strengths, Shortcomings, and Side Effects NAACL 2019
Computational Limitations in Robust Classification and Win-Win Results COLT 2019
Model-Agnostic Adversarial Detection by Random Perturbations IJCAI 2019
MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis NIPS 2019
Time-series Generative Adversarial Networks NIPS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Adversarial Self-Defense for Cycle-Consistent GANs NIPS 2019
Protecting Neural Networks with Hierarchical Random Switching: Towards Better Robustness-Accuracy Trade-off for Stochastic Defenses IJCAI 2019
A Dual Approach to Verify and Train Deep Networks IJCAI 2019
Adversarial Attacks on Neural Networks for Graph Data IJCAI 2019
Rademacher Complexity for Adversarially Robust Generalization ICML 2019
On the Convergence and Robustness of Adversarial Training ICML 2019
First-Order Adversarial Vulnerability of Neural Networks and Input Dimension ICML 2019
LADN: Local Adversarial Disentangling Network for Facial Makeup and De-Makeup ICCV 2019
Functional Transparency for Structured Data: a Game-Theoretic Approach ICML 2019
Adversarial camera stickers: A physical camera-based attack on deep learning systems ICML 2019
Anomaly Detection With Multiple-Hypotheses Predictions ICML 2019