MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
This is a curated list of research papers focused on making deep learning systems reliable and secure for real-world use. It compiles studies on various challenges like unexpected data, privacy concerns, and unfair outcomes. Researchers, machine learning engineers, and data scientists can use this resource to find solutions and best practices for building robust AI applications.
382 stars.
Use this if you are a researcher or practitioner in deep learning who needs to find relevant papers on improving the trustworthiness, safety, and robustness of AI models.
Not ideal if you are looking for a tutorial on how to implement trustworthy deep learning techniques or an explanation of the foundational concepts.
Stars
382
Forks
39
Language
—
License
MIT
Category
Last pushed
Feb 20, 2026
Commits (30d)
0
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