Year  Title  Author 
2017

SalGAN: Visual Saliency Prediction with Generative Adversarial Networks 
J Pan, C Canton, K McGuinness, NE O'Connor

2017

Perceptual Adversarial Networks for ImagetoImage Transformation 
C Wang, C Xu, C Wang, D Tao

2017

Distributional Adversarial Networks 
C Li, D Alvarez

2017

Semisupervised Semantic Segmentation using Generative Adversarial Networks 
THP Jensen

2017

Retinal Vessel Segmentation in Fundoscopic Images with Generative Adversarial Networks 
J Son, SJ Park, KH Jung

2017

Deep Semantic Hashing with Generative Adversarial Networks 
Z Qiu, Y Pan, T Yao, T Mei

2017

Towards Understanding the Dynamics of Generative Adversarial Networks 
J Li, A Madry, J Peebles, L Schmidt

2017

Semi and Weakly Supervised Semantic Segmentation Using Generative Adversarial Network 
N Souly, C Spampinato, M Shah

2017

SCAN: Structure Correcting Adversarial Network for Chest Xrays Organ Segmentation 
W Dai, J Doyle, X Liang, H Zhang, N Dong, Y Li

2017

MultiModal Imitation Learning from Unstructured Demonstrations using Generative Adversarial Nets 
K Hausman, Y Chebotar, S Schaal, G Sukhatme, J Lim

2017

Domain Adaptation with Randomized Multilinear Adversarial Networks 
M Long, Z Cao, J Wang, MI Jordan

2017

Stabilizing Training of Generative Adversarial Networks through Regularization 
K Roth, A Lucchi, S Nowozin, T Hofmann

2017

Generative Adversarial Reservoirs for natural video prediction 
JJ Hintz

2017

Adversarial PoseNet: A Structureaware Convolutional Network for Human Pose Estimation 
Y Chen, C Shen, XS Wei, L Liu, J Yang

2017

Using image quality metrics to identify adversarial imagery for deep learning networks 
J Harguess, J Miclat, J Raheema

2017

Towards Consistency of Adversarial Training for Generative Models 
M Sinn, A Rawat

2017

Approximation and Convergence Properties of Generative Adversarial Learning 
S Liu, O Bousquet, K Chaudhuri

2017

SegAN: Adversarial Network with Multiscale $ L_1 $ Loss for Medical Image Segmentation 
Y Xue, T Xu, H Zhang, R Long, X Huang

2017

Language Generation with Recurrent Generative Adversarial Networks without Pretraining 
O Press, A Bar, B Bogin, J Berant, L Wolf

2017

Unsupervised ImagetoImage Translation with Generative Adversarial Networks 
H Dong, P Neekhara, C Wu, Y Guo

2017

Universal Adversarial Perturbations Against Semantic Image Segmentation 
JH Metzen, MC Kumar, T Brox, V Fischer

2017

Depth and Complexity of Deep Generative Adversarial Networks 
HV Yamazaki, T Yamaguchi

2017

Variational Approaches for AutoEncoding Generative Adversarial Networks 
M Rosca, B Lakshminarayanan, D Warde

2017

GibbsNet: Iterative Adversarial Inference for Deep Graphical Models 
A Lamb, RD Hjelm, Y Ganin, JP Cohen, A Courville

2017

Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks 
L Mescheder, S Nowozin, A Geiger

2017

DeLiGAN: Generative Adversarial Networks for Diverse and Limited Data 
S Gurumurthy, RK Sarvadevabhatla

2017

Creating Virtual Universes Using Generative Adversarial Networks 
M Mustafa, D Bard, W Bhimji, R Al

2017

Improving the robustness of neural networks using Ksupport norm based adversarial training 
SW Akhtar, S Rehman, M Akhtar, MA Khan, F Riaz

2017

Generative Adversarial Networks for Noise Reduction in LowDose CT 
JM Wolterink, T Leiner, MA Viergever, I Isgum

2017

NIPS 2016 Tutorial: Generative Adversarial Networks 
I Goodfellow

2017

ANICEMC: Adversarial Training for MCMC 
J Song, S Zhao, S Ermon

2017

Training Adversarial Discriminators for Crosschannel Abnormal Event Detection in Crowds 
M Ravanbakhsh, E Sangineto, M Nabi, N Sebe

2017

Generative Adversarial Networks 
S Halbritter

2017

Adversarial Examples for Semantic Image Segmentation 
V Fischer, MC Kumar, JH Metzen, T Brox

2017

Adversarial Inversion: Inverse Graphics with Adversarial Priors 
HYF Tung, A Harley, W Seto, K Fragkiadaki

2017

Adversarial Ranking for Language Generation 
K Lin, D Li, X He, Z Zhang, MT Sun

2017

Controllable Invariance through Adversarial Feature Learning 
Q Xie, Z Dai, Y Du, E Hovy, G Neubig

2017

Adversarial Generation of Natural Language 
S Rajeswar, S Subramanian, F Dutil, C Pal, A Courville

2017

Megapixel Size Image Creation using Generative Adversarial Networks 
M Marchesi

2017

ObjectiveReinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models 
GL Guimaraes, B Sanchez

2017

Weakly Supervised Generative Adversarial Networks for 3D Reconstruction 
JY Gwak, CB Choy, A Garg, M Chandraker, S Savarese

2017

Deep Generative Adversarial Networks for Compressed Sensing Automates MRI 
M Mardani, E Gong, JY Cheng, S Vasanawala

2017

Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery 
T Schlegl, P Seeböck, SM Waldstein, U Schmidt

2017

Stabilizing Adversarial Nets With Prediction Methods 
A Yadav, S Shah, Z Xu, D Jacobs, T Goldstein

2017

Synthetic Aperture Radar Image Synthesis by Using Generative Adversarial Nets 
J Guo, B Lei, C Ding, Y Zhang

2017

Continual Learning in Generative Adversarial Nets 
A Seff, A Beatson, D Suo, H Liu

2017

LOGAN: Evaluating Privacy Leakage of Generative Models Using Generative Adversarial Networks 
J Hayes, L Melis, G Danezis, E De Cristofaro

2017

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks 
C Donahue, A Balsubramani, J McAuley, ZC Lipton

2017

Deep Adversarial 3D Shape Net 
C Lin, D Liu, A Kelly

2017

Crosslanguage Learning with Adversarial Neural Networks: Application to Community Question Answering 
S Joty, P Nakov, L Màrquez, I Jaradat

2017

Perceptual Generative Adversarial Networks for Small Object Detection 
J Li, X Liang, Y Wei, T Xu, J Feng, S Yan

2017

Interactive 3D Modeling with a Generative Adversarial Network 
J Liu, F Yu, T Funkhouser

2017

On the Possibility of Conditional Adversarial Networks for SAR Template Generation 
N Merkle, P Fischer, S Auer, R Müller

2017

CAN: Creative Adversarial Networks, Generating" Art" by Learning About Styles and Deviating from Style Norms 
A Elgammal, B Liu, M Elhoseiny, M Mazzone

2017

Hiding in Plain Sight: Adversarial Neural Net Facial Recognition 
C Qian, D Dobkin

2017

Autopainter: Cartoon Image Generation from Sketch by Using Conditional Generative Adversarial Networks 
Y Liu, Z Qin, Z Luo, H Wang

2017

Speechbased Diagnosis of Autism Spectrum Condition by Generative Adversarial Network Representations 
J Deng, N Cummins, M Schmi, K Qian, F Ringeval

2017

Multiphase Offline Signature Verification System Using Deep Convolutional Generative Adversarial Networks 
Z Zhang, X Liu, Y Cui

2017

Adversarial Examples Generation and Defense Based on Generative Adversarial Network 
F Xia, R Liu

2017

Generative Adversarial Trainer: Defense to Adversarial Perturbations with GAN 
H Lee, S Han, J Lee

2017

CaloGAN: Simulating 3D High Energy Particle Showers in MultiLayer Electromagnetic Calorimeters with Generative Adversarial Networks 
M Paganini, L de Oliveira, B Nachman

2017

Learning Representations of Emotional Speech with Deep Convolutional Generative Adversarial Networks 
J Chang, S Scherer

2017

Adversarial Image Alignment and Interpolation 
V Jain

2017

HighQuality Face Image SR Using Conditional Generative Adversarial Networks 
H Bin, C Weihai, W Xingming, L Chun

2017

Variance Regularizing Adversarial Learning 
K Grewal, RD Hjelm, Y Bengio

2017

Image Reconstruction by Generative Adversarial Networks 
M Huang, K Frans, M Tory, J Zhang

2017

Adversarial Network Bottleneck Features for Noise Robust Speaker Verification 
H Yu, ZH Tan, Z Ma, J Guo

2017

Adversarial Feature Matching for Text Generation 
Y Zhang, Z Gan, K Fan, Z Chen, R Henao, D Shen

2017

Generate IdentityPreserving Faces by Generative Adversarial Networks 
Z Li, Y Luo

2017

An Online Learning Approach to Generative Adversarial Networks 
P Grnarova, KY Levy, A Lucchi, T Hofmann, A Krause

2017

Generative Adversarial Networks for Multimodal Representation Learning in Video Hyperlinking 
V Vukotic, C Raymond, G Gravier

2016

Generating images with recurrent adversarial networks 
DJ Im, CD Kim, H Jiang, R Memisevic

2016

Associative Adversarial Networks 
T Arici, A Celikyilmaz

2016

SemiSupervised Learning with ContextConditional Generative Adversarial Networks 
E Denton, S Gross, R Fergus

2016

StackGAN: Text to Photorealistic Image Synthesis with Stacked Generative Adversarial Networks 
H Zhang, T Xu, H Li, S Zhang, X Huang, X Wang

2016

Practical BlackBox Attacks against Deep Learning Systems using Adversarial Examples 
N Papernot, P McDaniel, I Goodfellow, S Jha

2016

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient 
L Yu, W Zhang, J Wang, Y Yu

2016

Multiclass Generative Adversarial Networks with the L2 Loss Function 
X Mao, Q Li, H Xie, RYK Lau, Z Wang

2016

On The Integrity Of Deep Learning Systems In Adversarial Settings 
N Papernot

2016

Generative Adversarial Text to Image Synthesis 
S Reed, Z Akata, X Yan, L Logeswaran, B Schiele

2016

Generative Image Modeling using Style and Structure Adversarial Networks 
X Wang, A Gupta

2016

Generative Adversarial Networks as Variational Training of Energy Based Models 
S Zhai, Y Cheng, R Feris, Z Zhang

2016

Adversarial Feature Learning 
J Donahue, P Krähenbühl, T Darrell

2016

Learning from Simulated and Unsupervised Images through Adversarial Training 
A Shrivastava, T Pfister, O Tuzel, J Susskind, W Wang

2016

Generating Images Part by Part with Composite Generative Adversarial Networks 
H Kwak, BT Zhang

2016

SADGAN: Synthetic Autonomous Driving using Generative Adversarial Networks 
A Ghosh, B Bhattacharya, SBR Chowdhury

2016

Precomputed RealTime Texture Synthesis with Markovian Generative Adversarial Networks 
C Li, M Wand

2016

PhotoRealistic Single Image SuperResolution Using a Generative Adversarial Network 
C Ledig, L Theis, F Huszar, J Caballero, A Aitken

2016

Adversarial Ladder Networks 
JM Molano, AA Colomer, RP Palacios

2016

Medical Image Synthesis with ContextAware Generative Adversarial Networks 
D Nie, R Trullo, C Petitjean, S Ruan, D Shen

2016

Virtual Adversarial Training for SemiSupervised Text Classification 
T Miyato, AM Dai, I Goodfellow

2015

Deep Generative Image Models using a Laplacian Pyramid of Adversarial Networks 
E Denton, S Chintala, A Szlam, R Fergus

2015

Improving BackPropagation by Adding an Adversarial Gradient 
A Nøkland

2015

Conditional generative adversarial nets for convolutional face generation 
J Gauthier

2015

The Limitations of Deep Learning in Adversarial Settings 
N Papernot, P McDaniel, S Jha, M Fredrikson, ZB Celik

2015

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks 
N Papernot, P McDaniel, X Wu, S Jha, A Swami

2015

Adversarial Autoencoders 
A Makhzani, J Shlens, N Jaitly, I Goodfellow

2014

Conditional Generative Adversarial Nets 
M Mirza, S Osindero

2014

Generative Adversarial Nets 
IJ Goodfellow, J Pouget

2014

Towards Deep Neural Network Architectures Robust to Adversarial Examples 
S Gu, L Rigazio
