CryptoNN: Training Neural Networks over Encrypted Data

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CryptoNN: Training Neural Networks over Encrypted Data

15 April 2019

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Papers citing "CryptoNN: Training Neural Networks over Encrypted Data"

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Title
Enhancing Noisy Functional Encryption for Privacy-Preserving Machine Learning Linda Scheu-Hachtel Jasmin Zalonis 81 0 0 09 May 2025
TAPFed: Threshold Secure Aggregation for Privacy-Preserving Federated Learning Runhua Xu Bo Li Chao Li J. Joshi Shuai Ma Jianxin Li FedML 130 10 0 10 Jan 2025
Practical, Private Assurance of the Value of Collaboration Hassan Jameel Asghar Zhigang Lu Zhongrui Zhao Dali Kaafar FedML 62 0 0 04 Oct 2023
Human-imperceptible, Machine-recognizable Images Fusheng Hao Fengxiang He Yikai Wang Fuxiang Wu Jing Zhang Jun Cheng Dacheng Tao AAML 71 2 0 06 Jun 2023
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 88 105 0 10 Aug 2021
Multitask Identity-Aware Image Steganography via Minimax Optimization Jiabao Cui Pengyi Zhang Songyuan Li Liangli Zheng Cuizhu Bao Jupeng Xia Xi Li 64 12 0 13 Jul 2021
GALA: Greedy ComputAtion for Linear Algebra in Privacy-Preserved Neural Networks Qiao Zhang Chunsheng Xin Hongyi Wu 76 49 0 05 May 2021
NN-EMD: Efficiently Training Neural Networks using Encrypted Multi-Sourced Datasets Runhua Xu J. Joshi Chao Li FedML 89 19 0 18 Dec 2020
Privacy-Preserving Spam Filtering using Functional Encryption Sicong Wang Naveen Karunanayake Tham Nguyen Suranga Seneviratne 23 2 0 08 Dec 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 127 233 0 21 Jul 2020
Proof of Federated Learning: A Novel Energy-recycling Consensus Algorithm Xidi Qu Shengling Wang Qin Hu Xiuzhen Cheng FedML 62 104 0 26 Dec 2019