← Learning Types
Machine Learning › Learning Types ›

Adversarial Learning

4854 directly classified papers

Papers per year

Papers

Rethinking Feature Distribution for Loss Functions in Image Classification CVPR 2018
Analytic Expressions for Probabilistic Moments of PL-DNN With Gaussian Input CVPR 2018
Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training COLING 2018
Art of Singular Vectors and Universal Adversarial Perturbations CVPR 2018
Mixed batches and symmetric discriminators for GAN training ICML 2018
On the Limitations of First-Order Approximation in GAN Dynamics ICML 2018
Learning Adversarially Fair and Transferable Representations ICML 2018
Max-Mahalanobis Linear Discriminant Analysis Networks ICML 2018
Multi-Agent Diverse Generative Adversarial Networks CVPR 2018
Towards Robust Detection of Adversarial Examples NIPS 2018
Nonparametric Density Estimation under Adversarial Losses NIPS 2018
Spectral Signatures in Backdoor Attacks NIPS 2018
Generating Adversarial Examples with Adversarial Networks IJCAI 2018
Generative Warfare Nets: Ensemble via Adversaries and Collaborators IJCAI 2018
CAGAN: Consistent Adversarial Training Enhanced GANs IJCAI 2018
Pose-Guided Photorealistic Face Rotation CVPR 2018
Occluded Pedestrian Detection Through Guided Attention in CNNs CVPR 2018
3D Human Pose Estimation in the Wild by Adversarial Learning CVPR 2018
Generative Adversarial Perturbations CVPR 2018
Multi-Task Adversarial Network for Disentangled Feature Learning CVPR 2018
Robust Classification With Convolutional Prototype Learning CVPR 2018
MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks INTERSPEECH 2018
Training Augmentation with Adversarial Examples for Robust Speech Recognition INTERSPEECH 2018
Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training ICML 2018
Defense Against Universal Adversarial Perturbations CVPR 2018