Adversarial Robustness in Machine Learning

This cluster of papers focuses on the robustness of deep learning models against adversarial attacks, exploring topics such as adversarial examples, security, uncertainty estimation, defenses, and verification. It delves into the challenges and potential solutions for ensuring the resilience of neural networks in the face of malicious inputs.

Journals publishing in this area

1

Neural Networks

ISSN 0893-6080238 articles in this topic

246h-index

4.61Impact

9.8KArticles

469.1KCitations

2

ACM Computing Surveys

ISSN 0360-0300122 articles in this topic

322h-index

17.05Impact

3.7KArticles

478.9KCitations

3

Machine Learning

Machine Learning

ISSN 0885-6125115 articles in this topic

260h-index

2.73Impact

3.9KArticles

620.6KCitations

4

International Journal of Computing Programming and Database Management

ISSN 2707-66364 articles in this topic

2h-index

0.04Impact

174Articles

235Citations