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Adversarial Learning

4,859 papers

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Papers

Forward-Backward Generative Adversarial Networks for Anomaly Detection ACML 2019
G-UAP: Generic Universal Adversarial Perturbation that Fools RPN-based Detectors ACML 2019
An Optimal Algorithm for Stochastic and Adversarial Bandits AISTATS 2019
On Target Shift in Adversarial Domain Adaptation AISTATS 2019
Defending against Whitebox Adversarial Attacks via Randomized Discretization AISTATS 2019
Online Multiclass Boosting with Bandit Feedback AISTATS 2019
Adversarial Variational Optimization of Non-Differentiable Simulators AISTATS 2019
Negative Momentum for Improved Game Dynamics AISTATS 2019
A Geometric Perspective on the Transferability of Adversarial Directions AISTATS 2019
Provable Robustness of ReLU networks via Maximization of Linear Regions AISTATS 2019
Risk-Sensitive Generative Adversarial Imitation Learning AISTATS 2019
Revisiting Adversarial Risk AISTATS 2019
Adversarial Discrete Sequence Generation without Explicit NeuralNetworks as Discriminators AISTATS 2019
Sample-Efficient Imitation Learning via Generative Adversarial Nets AISTATS 2019
Adversarial Learning of a Sampler Based on an Unnormalized Distribution AISTATS 2019
Robustness Guarantees for Density Clustering AISTATS 2019
Improved Generalization Bounds for Robust Learning ALT 2019
Can Adversarially Robust Learning LeverageComputational Hardness? ALT 2019
Learning in Non-convex Games with an Optimization Oracle COLT 2019
Multi-armed Bandit Problems with Strategic Arms COLT 2019
Vortices Instead of Equilibria in MinMax Optimization: Chaos and Butterfly Effects of Online Learning in Zero-Sum Games COLT 2019
Computational Limitations in Robust Classification and Win-Win Results COLT 2019
Better Algorithms for Stochastic Bandits with Adversarial Corruptions COLT 2019
Cross-Lingual Dependency Parsing with Unlabeled Auxiliary Languages CONLL 2019
Unsupervised Adversarial Domain Adaptation for Implicit Discourse Relation Classification CONLL 2019