Results 231 to 240 of about 85,909 (246)

A Survey of Adversarial Defenses and Robustness in NLP

ACM Computing Surveys, 2023
Shreya Goyal, Sumanth Doddapaneni, Mitesh Khapra   +2 more
exaly  

Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward

IEEE Communications Surveys and Tutorials, 2020
Adnan Qayyum, Muhammad Usama, Junaid Qadir   +2 more
exaly  

Generative Adversarial Networks in Computer Vision

ACM Computing Surveys, 2022
Zhengwei Wang, Tomas E Ward
exaly  

Generative Adversarial Networks (GANs)

ACM Computing Surveys, 2022
Divya Saxena, Jiannong Cao
exaly  

Generative Adversarial Networks in Time Series: A Systematic Literature Review

ACM Computing Surveys, 2023
Eoin Brophy, Zhengwei Wang, Qi She
exaly  

Adversarial Attacks and Defenses in Deep Learning: From a Perspective of Cybersecurity

ACM Computing Surveys, 2023
Shuai Zhou, Chi Liu, Dayong Ye
exaly  

Interpreting Adversarial Examples in Deep Learning: A Review

ACM Computing Surveys, 2023
Sicong Han, Chenhao Lin, Chao Shen
exaly  

How Generative Adversarial Networks and Their Variants Work

ACM Computing Surveys, 2020
Youngjun Hong, Uiwon Hwang, Sungroh Yoon
exaly  

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

IEEE Transactions on Pattern Analysis and Machine Intelligence, 2019
Takeru Miyato, Shin Ishii
exaly  

Natural Adversarial Attacks

2024 International Conference on Machine Learning and Applications (ICMLA)
Michael J. Hughes, Sven Schewe
openaire   +1 more source