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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Feature-Level Frankenstein: Eliminating Variations for Discriminative Recognition CVPR 2019
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples CVPR 2019
Unsupervised Moving Object Detection via Contextual Information Separation CVPR 2019
Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis CVPR 2019
Feedback Adversarial Learning: Spatial Feedback for Improving Generative Adversarial Networks CVPR 2019
Example-Guided Style-Consistent Image Synthesis From Semantic Labeling CVPR 2019
Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning CVPR 2019
Predicting Future Frames Using Retrospective Cycle GAN CVPR 2019
Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks CVPR 2019
Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation CVPR 2019
Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping CVPR 2019
Label-Noise Robust Generative Adversarial Networks CVPR 2019
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation CVPR 2019
Towards Optimal Structured CNN Pruning via Generative Adversarial Learning CVPR 2019
Adversarial Structure Matching for Structured Prediction Tasks CVPR 2019
Exact Adversarial Attack to Image Captioning via Structured Output Learning With Latent Variables CVPR 2019
MSCap: Multi-Style Image Captioning With Unpaired Stylized Text CVPR 2019
Adversarial Attacks Beyond the Image Space CVPR 2019
Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks CVPR 2019
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses CVPR 2019
Balanced Self-Paced Learning for Generative Adversarial Clustering Network CVPR 2019
Detection Based Defense Against Adversarial Examples From the Steganalysis Point of View CVPR 2019
Knockoff Nets: Stealing Functionality of Black-Box Models CVPR 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation CVPR 2019
Unsupervised Domain Adaptation for ToF Data Denoising With Adversarial Learning CVPR 2019