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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Adversarial Defense by Stratified Convolutional Sparse Coding CVPR 2019
Retrieval-Augmented Convolutional Neural Networks Against Adversarial Examples CVPR 2019
Robustness of 3D Deep Learning in an Adversarial Setting CVPR 2019
Generalizing Eye Tracking With Bayesian Adversarial Learning CVPR 2019
Self-Supervised GANs via Auxiliary Rotation Loss CVPR 2019
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection CVPR 2019
Exploring the Landscape of Spatial Robustness ICML 2019
Wasserstein of Wasserstein Loss for Learning Generative Models ICML 2019
Multi-objective training of Generative Adversarial Networks with multiple discriminators ICML 2019
Distributionally Adversarial Attack AAAI 2019
Difficulty-Aware Attention Network with Confidence Learning for Medical Image Segmentation AAAI 2019
Perceptual-Sensitive GAN for Generating Adversarial Patches AAAI 2019
Adversarial Learning for Weakly-Supervised Social Network Alignment AAAI 2019
Connecting the Digital and Physical World: Improving the Robustness of Adversarial Attacks AAAI 2019
Adversarial Unsupervised Representation Learning for Activity Time-Series AAAI 2019
Image Aesthetic Assessment Assisted by Attributes through Adversarial Learning AAAI 2019
Data Augmentation Based on Adversarial Autoencoder Handling Imbalance for Learning to Rank AAAI 2019
Zoom-In-To-Check: Boosting Video Interpolation via Instance-Level Discrimination CVPR 2019
Object-Driven Text-To-Image Synthesis via Adversarial Training CVPR 2019
On Stabilizing Generative Adversarial Training With Noise CVPR 2019
Learning Cross-Modal Embeddings With Adversarial Networks for Cooking Recipes and Food Images CVPR 2019
R2GAN: Cross-Modal Recipe Retrieval With Generative Adversarial Network CVPR 2019
AIRD: Adversarial Learning Framework for Image Repurposing Detection CVPR 2019
Defending Against Adversarial Attacks by Randomized Diversification CVPR 2019
Tangent-Normal Adversarial Regularization for Semi-Supervised Learning CVPR 2019