Cryptographic Controls

Encryption, signing, post-quantum cryptography for AI

Resources: 3

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paper2026Unreviewed

Fully Homomorphic Encryption on Llama 3 model for privacy preserving LLM inference

Anes Abdennebi, Nadjia Kara, Laaziz Lahlou

The applications of Generative Artificial Intelligence (GenAI) and their intersections with data-driven fields, such as healthcare, finance, transportation, and information security, have led to significant improvements in service efficiency and low latency. However, this…

Cryptographic Controls

paper2026Unreviewed

MPC-Patch-Bench: Security-Aware LLM Code Patch for Multi-Party Computation

Yukuan Zhang, Mengxin Zheng, Qian Lou

Repository-level benchmarks for evaluating Large Language Model (LLM) code repair on Secure Multi-Party Computation (MPC) software do not yet exist, and directly transplanting general-purpose benchmarks such as SWE-bench fails on three structural fronts: (i) MPC repositories are…

Cryptographic Controls Benchmarks & Evaluation

paper2026Unreviewed

An Open-Source End-to-End FHE Implementation for Privacy-Preserving Llama 3 8B Inference

Yuhang Fan, Yusi Chen, Kanyu Ye +1

Cloud LLM services typically require users to send prompts to a model provider, creating a privacy risk. Fully homomorphic encryption (FHE) lets a server perform inference without decrypting the input, but representing data as ciphertexts adds storage and computational overhead.…

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