yenchenlin/awesome-adversarial-machine-learning
A curated list of resources for adversarial machine learning, covering papers, blogs, and talks from researchers like Goodfellow, Carlini, and Madry.
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This repository is an awesome-style curated list of adversarial machine learning resources, referencing foundational papers such as Goodfellow’s Explaining and Harnessing Adversarial Examples (2015) and Szegedy’s Intriguing properties of neural networks (2014). It aggregates blogs, papers, and talks covering attacks, defenses, and robust optimization for ML systems. The author notes it is now deprecated and no longer kept up-to-date, but it remains a reference starting point for the field.
Frequently asked
- What is yenchenlin/awesome-adversarial-machine-learning?
- A curated list of resources for adversarial machine learning, covering papers, blogs, and talks from researchers like Goodfellow, Carlini, and Madry.
- Is awesome-adversarial-machine-learning open source?
- Yes — yenchenlin/awesome-adversarial-machine-learning is an open-source project tracked on heatdrop.
- How popular is awesome-adversarial-machine-learning?
- yenchenlin/awesome-adversarial-machine-learning has 1.9k stars on GitHub.
- Where can I find awesome-adversarial-machine-learning?
- yenchenlin/awesome-adversarial-machine-learning is on GitHub at https://github.com/yenchenlin/awesome-adversarial-machine-learning.