A new perspective on stabilizing gans training: Direct adversarial training

Z Li, P Xia, R Tao, H Niu, B Li - IEEE Transactions on Emerging …, 2022 - ieeexplore.ieee.org
adversarial examples leading to unstable training of GANs, we propose an adversarial training
method DAT for GANs … According to the loss function of GANs in (1), the loss of GANs with …

[HTML][HTML] Exploring generative adversarial networks and adversarial training

A Sajeeda, BMM Hossain - International Journal of Cognitive Computing in …, 2022 - Elsevier
… To put it more eloquently, this study intends to guide researchers interested in studying
improvisations made to GANs for stable training, in the presence of Adversarial Attacks. …

Generative adversarial networks (GANs) challenges, solutions, and future directions

D Saxena, J Cao - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
… Unlike VAE-GAN, HALI offers more meaningful reconstructions with different levels of
fidelity and minimizes perceptual reconstruction error implicitly during adversarial training. …

[PDF][PDF] Generating text via adversarial training

Y Zhang, Z Gan, L Carin - NIPS workshop on Adversarial Training, 2016 - academia.edu
… Generative Adversarial Networks (GANs) have achieved … the application of gradient-based
GANs. In this paper we … neural network (CNN) for adversarial training to generate realistic text. …

Generative adversarial networks: introduction and outlook

K Wang, C Gou, Y Duan, Y Lin… - IEEE/CAA Journal of …, 2017 - ieeexplore.ieee.org
… does not require tedious sampling sequence, but can directly … The adversarial training
discards direct replication or … to train GANs; based on the understanding of the trained GANs over …

[BOOK][B] GANs in action: deep learning with generative adversarial networks

V Bok, J Langr - 2019 - books.google.com
GANs and adversarial learning: Chapter 10, “Adversarial examples”—We look at adversarial
… Exploring the theory behind GANs and adversarial training Understanding how GANs differ …

Improved techniques for training gans

T Salimans, I Goodfellow, W Zaremba… - Advances in neural …, 2016 - proceedings.neurips.cc
… We present a variety of new architectural features and training procedures that we apply
to the generative adversarial networks (GANs) framework. Using our new techniques, we …

[PDF][PDF] Understanding generative adversarial networks (gans)

J Rocca - Medium, 2019 - compart.uni-bremen.de
… In this post, we will see that adversarial training is an enlightening idea, beautiful by its … a
quick overview of what GANs are made for. Generative Adversarial Networks belong to the set …

Adversarial training methods for network embedding

Q Dai, X Shen, L Zhang, Q Li, D Wang - The world wide web conference, 2019 - dl.acm.org
… based on generative adversarial networks (GANs) [11]. Thus, they have very complicated
frameworks and suffer from the well-recognized hard training problems of GANs [3, 29]. …

GATSBI: Generative adversarial training for simulation-based inference

P Ramesh, JM Lueckmann, J Boelts… - arXiv preprint arXiv …, 2022 - arxiv.org
GANs, and introduce GATSBI, an adversarial approach to SBI. GATSBI reformulates the
variational objective in an adversarial … using adversarial training for SBI, by employing GANs as …