4 papers · 1 filter
Perseus: A Full-Stack System for Homomorphic Model Inference
Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2
Large Language Models (LLMs) have made it exceptionally convenient for users to send their private data to model providers, which process them in plaintext. Fully Homomorphic Encry…
HEAT: Faster Fully Homomorphic Inference via Approximations-Weights Co-Adaptation
Alessandro Zirilli, Davide Marincione, Evgenios M. Kornaropoulos +2
Fully homomorphic encryption (FHE) allows a server to run a language model directly on encrypted user prompts, but current approaches remain prohibitively slow. Ciphertexts nativel…
TENNOR: Trustworthy Execution for Neural Networks through Obliviousness and Retrievals
Zifan Qu, Vasileios P. Kemerlis, Giuseppe Ateniese +1
Training neural networks on sensitive data in untrusted cloud environments requires simultaneously achieving computational efficiency and rigorous privacy guarantees. Sparsificatio…
A Secure, Confidential, and Verifiable Decision Support System
Edoardo Marangone, Eugenio Nerio Nemmi, Daniele Friolo +3
Decision support systems are increasingly adopted to automate decision-making processes across industries, organizations, and governments. Decision support demands data privacy, in…