Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference

25 November 2018

Li Fei-Fei

Papers citing "Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference"

26 / 76 papers shown

Title
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks Ramy E. Ali Jinhyun So A. Avestimehr 9 34 0 11 Nov 2020
Accelerating 2PC-based ML with Limited Trusted Hardware M. Nawaz Aditya Gulati Kunlong Liu Vishwajeet Agrawal P. Ananth Trinabh Gupta 9 2 0 11 Sep 2020
Highly Accurate CNN Inference Using Approximate Activation Functions over Homomorphic Encryption Takumi Ishiyama Takuya Suzuki Hayato Yamana 6 36 0 08 Sep 2020
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors J. Byrne Brian DeCann S. Bloom PICV 12 5 0 11 Aug 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 18 58 0 08 Jun 2020
AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference Qian Lou B. Song Lei Jiang 15 35 0 07 Jun 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 16 14 0 24 Apr 2020
ArchNet: Data Hiding Model in Distributed Machine Learning System Kaiyan Chang Wei Jiang Xiangyu Wen Zicheng Gong Weijia Pan FedML 6 0 0 23 Apr 2020
FALCON: Honest-Majority Maliciously Secure Framework for Private Deep Learning Sameer Wagh Shruti Tople Fabrice Benhamouda E. Kushilevitz Prateek Mittal T. Rabin FedML 11 295 0 05 Apr 2020
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition S. Bian Tianchen Wang Masayuki Hiromoto Yiyu Shi Takashi Sato FedML 6 30 0 11 Mar 2020
HEAAN Demystified: Accelerating Fully Homomorphic Encryption Through Architecture-centric Analysis and Optimization Wonkyung Jung Eojin Lee Sangpyo Kim Keewoo Lee Namhoon Kim Chohong Min Jung Hee Cheon Jung Ho Ahn 9 55 0 10 Mar 2020
Crypto-Oriented Neural Architecture Design Avital Shafran Gil Segev Shmuel Peleg Yedid Hoshen 11 7 0 27 Nov 2019
CHEETAH: An Ultra-Fast, Approximation-Free, and Privacy-Preserved Neural Network Framework based on Joint Obscure Linear and Nonlinear Computations Qiao Zhang Cong Wang Chunsheng Xin Hongyi Wu 8 4 0 12 Nov 2019
HEAX: An Architecture for Computing on Encrypted Data M. Riazi Kim Laine Blake Pelton Wei Dai 14 217 0 20 Sep 2019
PrivFT: Private and Fast Text Classification with Homomorphic Encryption Ahmad Al Badawi Louie Hoang Chan Fook Mun Kim Laine Khin Mi Mi Aung 14 79 0 19 Aug 2019
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data Fabian Boemer Anamaria Costache Rosario Cammarota Casimir Wierzynski GNN 8 170 0 12 Aug 2019
Towards Characterizing and Limiting Information Exposure in DNN Layers Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Andrea Cavallaro Hamed Haddadi 11 11 0 13 Jul 2019
Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation Han Zhao Jianfeng Chi Yuan Tian Geoffrey J. Gordon MIACV 11 2 0 19 Jun 2019
SHE: A Fast and Accurate Deep Neural Network for Encrypted Data Qian Lou Lei Jiang 13 120 0 01 Jun 2019
SEALion: a Framework for Neural Network Inference on Encrypted Data Tim van Elsloo Giorgio Patrini Hamish Ivey-Law FedML 8 42 0 29 Apr 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference M. Riazi Mohammad Samragh Hao Chen Kim Laine Kristin E. Lauter F. Koushanfar FedML GNN BDL 12 280 0 19 Feb 2019
CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images Jin Chao Ahmad Al Badawi Balagopal Unnikrishnan Jie Lin Chan Fook Mun ... Michael Chiang Jayashree Kalpathy-Cramer V. Chandrasekhar Pavitra Krishnaswamy Khin Mi Mi Aung 9 21 0 29 Jan 2019
Low Latency Privacy Preserving Inference Alon Brutzkus Oren Elisha Ran Gilad-Bachrach FedML 10 228 0 27 Dec 2018
Towards the AlexNet Moment for Homomorphic Encryption: HCNN, theFirst Homomorphic CNN on Encrypted Data with GPUs Ahmad Al Badawi Jin Chao Jie Lin Chan Fook Mun Sim Jun Jie B. Tan Xiao Nan Khin Mi Mi Aung V. Chandrasekhar 19 64 0 02 Nov 2018
nGraph-HE: A Graph Compiler for Deep Learning on Homomorphically Encrypted Data Fabian Boemer Yixing Lao Rosario Cammarota Casimir Wierzynski FedML 6 163 0 23 Oct 2018
Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights Aojun Zhou Anbang Yao Yiwen Guo Lin Xu Yurong Chen MQ 316 1,047 0 10 Feb 2017