zihao-ai/Awesome-Backdoor-in-Deep-Learning
A curated list of papers & resources on backdoor attacks and defenses in deep learning.
This resource helps machine learning engineers and researchers understand and mitigate security risks in deep learning models. It provides a comprehensive collection of papers and resources on 'backdoor attacks'—malicious hidden functions in models—and 'backdoor defenses' to protect against them. You can use this to research various attack methods on different model types and find corresponding defense strategies.
237 stars. No commits in the last 6 months.
Use this if you are a machine learning security practitioner, researcher, or engineer focused on securing deep learning models against malicious tampering or hidden vulnerabilities.
Not ideal if you are looking for ready-to-use software tools or libraries for immediate implementation of attacks or defenses, as this is primarily a curated list of academic papers.
Stars
237
Forks
13
Language
Python
License
GPL-3.0
Category
Last pushed
Mar 15, 2024
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