allensll/Awesome-Crypto-DNN
List of papers on cryptography assisted deep learning privacy computation
This resource lists research papers focused on enhancing the privacy of deep learning models, especially large language models and vision transformers, using cryptographic techniques. It compiles academic work that allows these powerful AI models to process sensitive data without revealing the raw information, ensuring confidentiality. This collection is ideal for researchers, data privacy officers, or engineers in fields like secure AI, confidential computing, or privacy-preserving machine learning.
Use this if you need to find cutting-edge research and code implementations on how to make deep neural networks, particularly large language models and vision transformers, perform computations on encrypted data while maintaining data privacy.
Not ideal if you are looking for introductory guides to deep learning, general cryptography resources, or tools for data anonymization that do not involve cryptographic privacy-preserving techniques.
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Dec 29, 2025
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