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Adversarial Learning

2063 directly classified papers

Papers per year

Papers

Synthesizing Programs for Images using Reinforced Adversarial Learning ICML 2018
Is Generator Conditioning Causally Related to GAN Performance? ICML 2018
JointGAN: Multi-Domain Joint Distribution Learning with Generative Adversarial Nets ICML 2018
Adversarial Complementary Learning for Weakly Supervised Object Localization CVPR 2018
AttnGAN: Fine-Grained Text to Image Generation With Attentional Generative Adversarial Networks CVPR 2018
Image Generation From Scene Graphs CVPR 2018
Super-FAN: Integrated Facial Landmark Localization and Super-Resolution of Real-World Low Resolution Faces in Arbitrary Poses With GANs CVPR 2018
Person Transfer GAN to Bridge Domain Gap for Person Re-Identification CVPR 2018
GANerated Hands for Real-Time 3D Hand Tracking From Monocular RGB CVPR 2018
PairedCycleGAN: Asymmetric Style Transfer for Applying and Removing Makeup CVPR 2018
Finding Tiny Faces in the Wild With Generative Adversarial Network CVPR 2018
Poison Frogs! Targeted Clean-Label Poisoning Attacks on Neural Networks NIPS 2018
Generating Informative and Diverse Conversational Responses via Adversarial Information Maximization NIPS 2018
Spectral Signatures in Backdoor Attacks NIPS 2018
Semidefinite relaxations for certifying robustness to adversarial examples NIPS 2018
Scaling provable adversarial defenses NIPS 2018
MetaGAN: An Adversarial Approach to Few-Shot Learning NIPS 2018
With Friends Like These, Who Needs Adversaries? NIPS 2018
Triangle Generative Adversarial Networks NIPS 2017
Lower bounds on the robustness to adversarial perturbations NIPS 2017
f-GANs in an Information Geometric Nutshell NIPS 2017
VEEGAN: Reducing Mode Collapse in GANs using Implicit Variational Learning NIPS 2017
Learning to Pivot with Adversarial Networks NIPS 2017
Efficient Label Contamination Attacks Against Black-Box Learning Models IJCAI 2017
Privacy Issues Regarding the Application of DNNs to Activity-Recognition using Wearables and Its Countermeasures by Use of Adversarial Training IJCAI 2017