chbrian/awesome-adversarial-examples-dl
A curated list of awesome resources for adversarial examples in deep learning
This resource curates research papers on the topic of adversarial examples in deep learning. It helps machine learning practitioners and researchers understand how subtle, intentional changes to input data can fool even highly accurate deep learning models. The list provides an overview of different attack methods, defense strategies, and foundational research.
265 stars. No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher trying to understand the vulnerabilities of deep learning models and how to make them more robust against malicious attacks.
Not ideal if you are looking for ready-to-use code or tools to implement adversarial attacks or defenses, as this resource focuses on academic papers.
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Feb 04, 2021
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