activity
20172023
most citedSHE: A Fast and Accurate Deep Neural Network for Encrypted Data

31 citations · 151 across the 19 of their papers we have counts for

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Showing cs.CRShow all

7 papers · 1 filter

cs.CR2023

Primer: Fast Private Transformer Inference on Encrypted Data

Mengxin Zheng, Qian Lou, Lei Jiang

It is increasingly important to enable privacy-preserving inference for cloud services based on Transformers. Post-quantum cryptographic techniques, e.g., fully homomorphic encrypt…

cs.CR2023★ 2 cited

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning

Mengxin Zheng, Jiaqi Xue, Zihao Wang +4

Self-supervised learning (SSL) is a prevalent approach for encoding data representations. Using a pre-trained SSL image encoder and subsequently training a downstream classifier, i…

cs.CR2022★ 4 cited

MATCHA: A Fast and Energy-Efficient Accelerator for Fully Homomorphic Encryption over the Torus

Lei Jiang, Qian Lou, Nrushad Joshi

Fully Homomorphic Encryption over the Torus (TFHE) allows arbitrary computations to happen directly on ciphertexts using homomorphic logic gates. However, each TFHE gate on state-o…

cs.CR2021★ 13 cited

HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture

Qian Lou, Lei Jiang

Recently Homomorphic Encryption (HE) is used to implement Privacy-Preserving Neural Networks (PPNNs) that perform inferences directly on encrypted data without decryption. Prior PP…

cs.CR2020

CryptoGRU: Low Latency Privacy-Preserving Text Analysis With GRU

Bo Feng, Qian Lou, Lei Jiang +1

Billions of text analysis requests containing private emails, personal text messages, and sensitive online reviews, are processed by recurrent neural networks (RNNs) deployed on pu…

cs.CR2020★ 17 cited

AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference

Qian Lou, Song Bian, Lei Jiang

Hybrid Privacy-Preserving Neural Network (HPPNN) implementing linear layers by Homomorphic Encryption (HE) and nonlinear layers by Garbled Circuit (GC) is one of the most promising…

cs.CR2019★ 31 cited

SHE: A Fast and Accurate Deep Neural Network for Encrypted Data

Qian Lou, Lei Jiang

Homomorphic Encryption (HE) is one of the most promising security solutions to emerging Machine Learning as a Service (MLaaS). Leveled-HE (LHE)-enabled Convolutional Neural Network…