Results 311 to 320 of about 2,268,403 (339)

Robust generative adversarial network

Machine Learning, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Zhang, Shufei, Qian, Zhuang, Huang, Kaizhu, Zhang, Rui, Xiao, Jimin, He, Yuan, Lu, Canyi   +6 more
openaire   +2 more sources

Revisiting the Adversarial Robustness of Vision Language Models: a Multimodal Perspective

arXiv.org
Pretrained vision-language models (VLMs) like CLIP exhibit exceptional generalization across diverse downstream tasks. While recent studies reveal their vulnerability to adversarial attacks, research to date has primarily focused on enhancing the ...
Wanqi Zhou, Shuanghao Bai, Qibin Zhao, Badong Chen   +3 more
semanticscholar   +1 more source

Robustness for Adversarial Risk Analysis

2016
Adversarial Risk Analysis is an emergent paradigm for supporting a decision maker who faces adversaries in problems in which the consequences are random and depend on the actions of all participating agents. In this chapter, we outline a framework for robust analysis methods in Adversarial Risk Analysis. Our discussion focuses on security applications.
D Rios Insua, F Ruggeri, C Alfaro, J Gomez   +3 more
openaire   +3 more sources

Adversarially Robust Hypothesis Testing

2019 53rd Asilomar Conference on Signals, Systems, and Computers, 2019
In this paper, we investigate the adversarial robustness of classification problems. In the considered model, after a sample is generated, it will be modified by an adversary before being observed by the classifier. The classifier needs to decide the underlying hypothesis that generates the sample from the adversarially modified data. We formulate this
Yulu Jin, Lifeng Lai
openaire   +1 more source

Adversarial Machine Learning in Wireless Communications Using RF Data: A Review

IEEE Communications Surveys and Tutorials, 2023
Damilola Adesina, Yalin E Sagduyu, Lijun Qian   +2 more
exaly  

Generative Adversarial Networks (GANs)

ACM Computing Surveys, 2022
Divya Saxena, Jiannong Cao
exaly  

Generative Adversarial Networks

ACM Computing Surveys, 2022
Zhipeng Cai, Honghui Xu, Yi Pan
exaly  

A Survey on Generative Adversarial Networks: Variants, Applications, and Training

ACM Computing Surveys, 2022
Songyuan Li
exaly  

Generative Adversarial Networks in Time Series: A Systematic Literature Review

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

Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

ACM Computing Surveys, 2022
Ishai Rosenberg, Asaf Shabtai
exaly