THUYimingLi/backdoor-learning-resources
A list of backdoor learning resources
This resource helps machine learning researchers and security professionals understand and address security vulnerabilities in AI models. It compiles research papers and tools related to 'backdoor learning,' where a model behaves normally until a specific, hidden trigger activates malicious behavior. The collection categorizes various attack methods and defensive strategies against these 'neural Trojans' in AI systems, providing a comprehensive overview for anyone working with third-party models or sensitive AI applications.
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Use this if you are a machine learning security researcher, practitioner, or academic who needs to understand the landscape of 'backdoor' attacks and defenses in AI systems.
Not ideal if you are looking for a general introduction to machine learning or a resource focused on traditional cybersecurity threats outside of AI models.
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Jul 31, 2024
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