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Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Tackling Adversarial Examples in QA via Answer Sentence Selection ACL 2018
Constructing Unrestricted Adversarial Examples with Generative Models NIPS 2018
Towards Text Generation with Adversarially Learned Neural Outlines NIPS 2018
Improved Network Robustness with Adversary Critic NIPS 2018
Extractive Adversarial Networks: High-Recall Explanations for Identifying Personal Attacks in Social Media Posts EMNLP 2018
Robust Inference for Multiclass Classification ALT 2018
Learning under $p$-Tampering Attacks ALT 2018
More Adaptive Algorithms for Adversarial Bandits COLT 2018
Adversarial Regression with Multiple Learners ICML 2018
Adaptation to Easy Data in Prediction with Limited Advice NIPS 2018
Symmetric Variational Autoencoder and Connections to Adversarial Learning AISTATS 2018
Robustness of conditional GANs to noisy labels NIPS 2018
Online Robust Policy Learning in the Presence of Unknown Adversaries NIPS 2018
Bayesian Adversarial Learning NIPS 2018
Learning to Repair Software Vulnerabilities with Generative Adversarial Networks NIPS 2018
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval CVPR 2018
Weakly Supervised Facial Action Unit Recognition Through Adversarial Training CVPR 2018
Deep Cocktail Network: Multi-Source Unsupervised Domain Adaptation With Category Shift CVPR 2018
Feature Super-Resolution: Make Machine See More Clearly CVPR 2018
Adversarial Feature Augmentation for Unsupervised Domain Adaptation CVPR 2018
Generative Adversarial Learning Towards Fast Weakly Supervised Detection CVPR 2018
Label Denoising Adversarial Network (LDAN) for Inverse Lighting of Faces CVPR 2018
FaceID-GAN: Learning a Symmetry Three-Player GAN for Identity-Preserving Face Synthesis CVPR 2018
GAGAN: Geometry-Aware Generative Adversarial Networks CVPR 2018
A Two-Step Disentanglement Method CVPR 2018