Crypto-Nets: Neural Networks over Encrypted Data

18 December 2014

Papers citing "Crypto-Nets: Neural Networks over Encrypted Data"

33 / 33 papers shown

Title
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 31 0 0 31 Dec 2022
Privacy-Preserving Chaotic Extreme Learning Machine with Fully Homomorphic Encryption Syed Imtiaz Ahamed V. Ravi 42 0 0 04 Aug 2022
Privacy-Preserving Wavelet Neural Network with Fully Homomorphic Encryption Syed Imtiaz Ahamed V. Ravi 11 0 0 26 May 2022
MixNN: A design for protecting deep learning models Chao Liu Hao Chen Yusen Wu Rui Jin 10 0 0 28 Mar 2022
Demystifying Swarm Learning: A New Paradigm of Blockchain-based Decentralized Federated Learning Jialiang Han Y. Ma Yudong Han 53 15 0 14 Jan 2022
PolyDNN: Polynomial Representation of NN for Communication-less SMPC Inference Philip Derbeko Shlomi Dolev 13 1 0 02 Apr 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 34 48 0 09 Feb 2021
Perfect density models cannot guarantee anomaly detection Charline Le Lan Laurent Dinh 35 49 0 07 Dec 2020
Privacy Preserving for Medical Image Analysis via Non-Linear Deformation Proxy B. Kim Jose Dolz Christian Desrosiers Pierre-Marc Jodoin MedIm 30 4 0 25 Nov 2020
A decentralized aggregation mechanism for training deep learning models using smart contract system for bank loan prediction Pratik Ratadiya Khushi Asawa O. Nikhal FedML 6 7 0 22 Nov 2020
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks Ramy E. Ali Jinhyun So A. Avestimehr 14 35 0 11 Nov 2020
Accelerating 2PC-based ML with Limited Trusted Hardware M. Nawaz Aditya Gulati Kunlong Liu Vishwajeet Agrawal P. Ananth Trinabh Gupta 11 2 0 11 Sep 2020
SOTERIA: In Search of Efficient Neural Networks for Private Inference Anshul Aggarwal Trevor E. Carlson Reza Shokri Shruti Tople FedML 17 12 0 25 Jul 2020
Classification and Recognition of Encrypted EEG Data Neural Network Yongshuang Liu Haiping Huang Fu Xiao R. Malekian Wenming Wang 19 6 0 15 Jun 2020
Efficient Privacy Preserving Edge Computing Framework for Image Classification Omobayode Fagbohungbe Sheikh Rufsan Reza Xishuang Dong Lijun Qian 22 3 0 10 May 2020
CPU and GPU Accelerated Fully Homomorphic Encryption Toufique Morshed Md Momin Al Aziz N. Mohammed 7 39 0 05 May 2020
ArchNet: Data Hiding Model in Distributed Machine Learning System Kaiyan Chang Wei Jiang Xiangyu Wen Zicheng Gong Weijia Pan FedML 13 0 0 23 Apr 2020
Privacy-Net: An Adversarial Approach for Identity-Obfuscated Segmentation of Medical Images B. Kim Jose Dolz Pierre-Marc Jodoin Christian Desrosiers 16 29 0 09 Sep 2019
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset Zhenyu Wu Haotao Wang Zhaowen Wang Hailin Jin Zhangyang Wang AAML PICV 22 15 0 12 Jun 2019
Towards Fair and Privacy-Preserving Federated Deep Models Lingjuan Lyu Jiangshan Yu Karthik Nandakumar Yitong Li Xingjun Ma Jiong Jin Han Yu Kee Siong Ng FedML 8 20 0 04 Jun 2019
Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning Sagar Sharma Keke Chen 8 1 0 05 Feb 2019
STAR: Statistical Tests with Auditable Results Sacha Servan-Schreiber O. Ohrimenko Tim Kraska Emanuel Zgraggen 4 2 0 19 Jan 2019
Using fuzzy bits and neural networks to partially invert few rounds of some cryptographic hash functions S. V. Goncharov 17 6 0 08 Jan 2019
Faster CryptoNets: Leveraging Sparsity for Real-World Encrypted Inference Edward Chou Josh Beal Daniel Levy Serena Yeung Albert Haque Li Fei-Fei 26 198 0 25 Nov 2018
Software Engineering Challenges of Deep Learning Anders Arpteg B. Brinne L. Crnkovic-Friis J. Bosch 17 173 0 29 Oct 2018
Secure Multilayer Perceptron Based On Homomorphic Encryption Reda Bellafqira Gouenou Coatrieux E. Génin Michel Cozic 11 13 0 07 Jun 2018
PANDA: Facilitating Usable AI Development Jinyang Gao Wei Wang Meihui Zhang Gang Chen H. V. Jagadish Guoliang Li Teck Khim Ng Beng Chin Ooi Sheng Wang Jingren Zhou 24 4 0 26 Apr 2018
CryptoDL: Deep Neural Networks over Encrypted Data Ehsan Hesamifard Hassan Takabi Mehdi Ghasemi 18 376 0 14 Nov 2017
Towards ECDSA key derivation from deep embeddings for novel Blockchain applications C. Perone 22 0 0 11 Nov 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 40 1,377 0 24 Feb 2017
A Theoretical Framework for Robustness of (Deep) Classifiers against Adversarial Examples Beilun Wang Ji Gao Yanjun Qi AAML 19 30 0 01 Dec 2016
Learning to Protect Communications with Adversarial Neural Cryptography Martín Abadi David G. Andersen FedML GAN 22 211 0 21 Oct 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 53 4,033 0 18 Oct 2016