96 citations · 133 across the 8 of their papers we have counts for
7 papers · 1 filter
FESC: Remodeling Long-Context Private Inference with Encrypted State-Space Models
Yufan Zhu, Chao Jin, Khin Mi Mi Aung +1
Processing long, sensitive documents with machine-learning models requires efficient, privacy-preserving long-context inference. Prior private inference systems optimize or distrib…
EncFormer: Secure and Efficient Transformer Inference over Encrypted Data
Yufan Zhu, Chao Jin, Khin Mi Mi Aung +1
Transformer inference in machine-learning-as-a-service (MLaaS) raises privacy concerns for sensitive user inputs. Prior secure solutions that combine fully homomorphic encryption (…
Popcorn: Paillier Meets Compression For Efficient Oblivious Neural Network Inference
Jun Wang, Chao Jin, Souhail Meftah +1
Oblivious inference enables the cloud to provide neural network inference-as-a-service (NN-IaaS), whilst neither disclosing the client data nor revealing the server's model. Howeve…
FFConv: Fast Factorized Convolutional Neural Network Inference on Encrypted Data
Yuxiao Lu, Jie Lin, Chao Jin +4
Homomorphic Encryption (HE), allowing computations on encrypted data (ciphertext) without decrypting it first, enables secure but prohibitively slow Convolutional Neural Network (C…
PrivFT: Private and Fast Text Classification with Homomorphic Encryption
Ahmad Al Badawi, Luong Hoang, Chan Fook Mun +2
The need for privacy-preserving analytics is higher than ever due to the severity of privacy risks and to comply with new privacy regulations leading to an amplified interest in pr…
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images
Jin Chao, Ahmad Al Badawi, Balagopal Unnikrishnan +9
Convolutional neural networks (CNNs) have enabled significant performance leaps in medical image classification tasks. However, translating neural network models for clinical appli…
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs
Ahmad Al Badawi, Jin Chao, Jie Lin +6
Deep Learning as a Service (DLaaS) stands as a promising solution for cloud-based inference applications. In this setting, the cloud has a pre-learned model whereas the user has sa…