Craterlake: a hardware accelerator for efficient unbounded computation on encrypted data
Fully Homomorphic Encryption (FHE) enables offloading computation to untrusted servers
with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due …
with cryptographic privacy. Despite its attractive security, FHE is not yet widely adopted due …
Towards practical secure neural network inference: the journey so far and the road ahead
Neural networks (NNs) have become one of the most important tools for artificial
intelligence. Well-designed and trained NNs can perform inference (eg, make decisions or …
intelligence. Well-designed and trained NNs can perform inference (eg, make decisions or …
Sok: Fully homomorphic encryption accelerators
Fully Homomorphic Encryption (FHE) is a key technology enabling privacy-preserving
computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to …
computing. However, the fundamental challenge of FHE is its inefficiency, due primarily to …
Survey on fully homomorphic encryption, theory, and applications
Data privacy concerns are increasing significantly in the context of the Internet of Things,
cloud services, edge computing, artificial intelligence applications, and other applications …
cloud services, edge computing, artificial intelligence applications, and other applications …
Bts: An accelerator for bootstrappable fully homomorphic encryption
Homomorphic encryption (HE) enables the secure offloading of computations to the cloud by
providing computation on encrypted data (ciphertexts). HE is based on noisy encryption …
providing computation on encrypted data (ciphertexts). HE is based on noisy encryption …
Low-complexity deep convolutional neural networks on fully homomorphic encryption using multiplexed parallel convolutions
Recently, the standard ResNet-20 network was successfully implemented on the fully
homomorphic encryption scheme, residue number system variant Cheon-Kim-Kim-Song …
homomorphic encryption scheme, residue number system variant Cheon-Kim-Kim-Song …
Ark: Fully homomorphic encryption accelerator with runtime data generation and inter-operation key reuse
Homomorphic Encryption (HE) is one of the most promising post-quantum cryptographic
schemes that enable privacy-preserving computation on servers. However, noise …
schemes that enable privacy-preserving computation on servers. However, noise …
Re-thinking model inversion attacks against deep neural networks
NB Nguyen, K Chandrasegaran… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Model inversion (MI) attacks aim to infer and reconstruct private training data by
abusing access to a model. MI attacks have raised concerns about the leaking of sensitive …
abusing access to a model. MI attacks have raised concerns about the leaking of sensitive …
Optimized privacy-preserving cnn inference with fully homomorphic encryption
Inference of machine learning models with data privacy guarantees has been widely studied
as privacy concerns are getting growing attention from the community. Among others, secure …
as privacy concerns are getting growing attention from the community. Among others, secure …
SHARP: A short-word hierarchical accelerator for robust and practical fully homomorphic encryption
Fully homomorphic encryption (FHE) is an emerging cryptographic technology that
guarantees the privacy of sensitive user data by enabling direct computations on encrypted …
guarantees the privacy of sensitive user data by enabling direct computations on encrypted …