Exploring generative adversarial networks and adversarial training-Reference-Cited by-同舟云学术

Exploring generative adversarial networks and adversarial training

Published:2022-06 Issue: Volume:3 Page:78-89
ISSN:2666-3074
Container-title:International Journal of Cognitive Computing in Engineering
language:en
Short-container-title:International Journal of Cognitive Computing in Engineering

Author:

Sajeeda Afia,Hossain B M Mainul^ORCID

Publisher

Elsevier BV

Subject

Engineering (miscellaneous),Information Systems and Management,Information Systems,Computer Science Applications

Reference109 articles.

1. Towards principled methods for training generative adversarial networks;Arjovsky,2017

2. Wasserstein GAN;Arjovsky;CoRR,2017

3. Generalization and equilibrium in generative adversarial nets (GANs);Arora,2017

4. Obfuscated gradients give a false sense of security: Circumventing defenses to adversarial examples;Athalye,2018

5. AI-GAN: Attack-inspired generation of adversarial examples;Bai,2021

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