CryptoDL: Deep Neural Networks over Encrypted Data

14 November 2017

Papers citing "CryptoDL: Deep Neural Networks over Encrypted Data"

50 / 74 papers shown

Title
Privacy-Preserving Chest X-ray Classification in Latent Space with Homomorphically Encrypted Neural Inference Jonghun Kim Gyeongdeok Jo Shinyoung Ra Hyunjin Park 28 0 0 18 Jun 2025
Privacy-preserving Machine Learning in Internet of Vehicle Applications: Fundamentals, Recent Advances, and Future Direction Nazmul Islam Mohammad Zulkernine 82 0 0 03 Mar 2025
Flash: A Hybrid Private Inference Protocol for Deep CNNs with High Accuracy and Low Latency on CPU H. Roh Jinsu Yeo Yeongil Ko Gu-Yeon Wei David Brooks Woo-Seok Choi 176 2 0 20 Jan 2025
MOFHEI: Model Optimizing Framework for Fast and Efficient Homomorphically Encrypted Neural Network Inference Parsa Ghazvinian Robert Podschwadt Prajwal Panzade Mohammad H. Rafiei Daniel Takabi 109 0 0 10 Dec 2024
DCT-CryptoNets: Scaling Private Inference in the Frequency Domain Arjun Roy Kaushik Roy 431 1 0 27 Aug 2024
Counter Denial of Service for Next-Generation Networks within the Artificial Intelligence and Post-Quantum Era Saleh Darzi Attila A. Yavuz AAML 89 3 0 08 Aug 2024
Privacy-Preserving Logistic Regression Training on Large Datasets John Chiang 138 2 0 19 Jun 2024
Homomorphic WiSARDs: Efficient Weightless Neural Network training over encrypted data Leonardo Neumann Antonio Guimarães Diego F. Aranha Edson Borin AAML 52 0 0 29 Mar 2024
Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption Itamar Zimerman Moran Baruch Nir Drucker Gilad Ezov Omri Soceanu Lior Wolf 90 17 0 15 Nov 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 109 28 0 20 Jul 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 156 49 0 21 Feb 2023
Privacy-Preserving Collaborative Learning through Feature Extraction A. Sarmadi Hao Fu Prashanth Krishnamurthy S. Garg Farshad Khorrami FedML 56 7 0 13 Dec 2022
ezDPS: An Efficient and Zero-Knowledge Machine Learning Inference Pipeline Haodi Wang Thang Hoang 73 11 0 11 Dec 2022
Privacy Safe Representation Learning via Frequency Filtering Encoder J. Jeong Minyong Cho Philipp Benz Jinwoo Hwang J. Kim Seungkwang Lee Tae-Hoon Kim 64 3 0 04 Aug 2022
Impala: Low-Latency, Communication-Efficient Private Deep Learning Inference Woojin Choi Brandon Reagen Gu-Yeon Wei David Brooks FedML 85 7 0 13 May 2022
CECILIA: Comprehensive Secure Machine Learning Framework Ali Burak Ünal Nícolas Pfeifer Mete Akgün 75 3 0 07 Feb 2022
SoK: Privacy-preserving Deep Learning with Homomorphic Encryption Robert Podschwadt Daniel Takabi Peizhao Hu FedML 98 6 0 23 Dec 2021
A methodology for training homomorphicencryption friendly neural networks Moran Baruch Nir Drucker L. Greenberg Guy Moshkowich 85 14 0 05 Nov 2021
CryptoNite: Revealing the Pitfalls of End-to-End Private Inference at Scale Karthik Garimella N. Jha Zahra Ghodsi S. Garg Brandon Reagen 84 3 0 04 Nov 2021
Physical Side-Channel Attacks on Embedded Neural Networks: A Survey M. M. Real Ruben Salvador AAML 73 34 0 21 Oct 2021
Input-Output History Feedback Controller for Encrypted Control with Leveled Fully Homomorphic Encryption K. Teranishi T. Sadamoto K. Kogiso 58 20 0 22 Sep 2021
Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework Mohamed Bennai Alberto Marchisio Rachmad Vidya Wicaksana Putra Muhammad Abdullah Hanif 98 34 0 20 Sep 2021
Privacy-Preserving Machine Learning: Methods, Challenges and Directions Runhua Xu Nathalie Baracaldo J. Joshi 88 106 0 10 Aug 2021
Sisyphus: A Cautionary Tale of Using Low-Degree Polynomial Activations in Privacy-Preserving Deep Learning Karthik Garimella N. Jha Brandon Reagen 92 19 0 26 Jul 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
VeriDL: Integrity Verification of Outsourced Deep Learning Services (Extended Version) Boxiang Dong Bo Zhang Hui Wendy Hui Wang 36 8 0 01 Jul 2021
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network Joon-Woo Lee Hyungchul Kang Yongwoo Lee W. Choi Jieun Eom ... Eunsang Lee Junghyun Lee Donghoon Yoo Young-Sik Kim Jong-Seon No 95 252 0 14 Jun 2021
Precise Approximation of Convolutional Neural Networks for Homomorphically Encrypted Data Junghyun Lee Eunsang Lee Joon-Woo Lee Yongjune Kim Young-Sik Kim Jong-Seon No 139 58 0 23 May 2021
SIRNN: A Math Library for Secure RNN Inference Deevashwer Rathee Mayank Rathee R. Goli Divya Gupta Rahul Sharma Nishanth Chandran Aseem Rastogi 62 111 0 10 May 2021
Enabling Inference Privacy with Adaptive Noise Injection Sanjay Kariyappa Ousmane Amadou Dia Moinuddin K. Qureshi 69 5 0 06 Apr 2021
Enabling Homomorphically Encrypted Inference for Large DNN Models Guillermo Lloret-Talavera Marc Jordà Harald Servat Fabian Boemer C. Chauhan S. Tomishima Nilesh N. Shah Antonio J. Peña AI4CE FedML 111 27 0 30 Mar 2021
Security and Privacy for Artificial Intelligence: Opportunities and Challenges Ayodeji Oseni Nour Moustafa Helge Janicke Peng Liu Z. Tari A. Vasilakos AAML 67 52 0 09 Feb 2021
Robust Machine Learning Systems: Challenges, Current Trends, Perspectives, and the Road Ahead Mohamed Bennai Mahum Naseer T. Theocharides C. Kyrkou O. Mutlu Lois Orosa Jungwook Choi OOD 139 101 0 04 Jan 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
Confidential Machine Learning on Untrusted Platforms: A Survey Sagar Sharma Keke Chen FedML 55 15 0 15 Dec 2020
SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation Lushan Song Guopeng Lin Jiaxuan Wang Haoqi Wu Wenqiang Ruan Weili Han 155 9 0 06 Dec 2020
On Polynomial Approximations for Privacy-Preserving and Verifiable ReLU Networks Ramy E. Ali Jinhyun So A. Avestimehr 57 36 0 11 Nov 2020
Privacy-Preserving XGBoost Inference Xianrui Meng J. Feigenbaum 74 14 0 09 Nov 2020
A Scalable Approach for Privacy-Preserving Collaborative Machine Learning Jinhyun So Başak Güler A. Avestimehr FedML 78 53 0 03 Nov 2020
Key-Nets: Optical Transformation Convolutional Networks for Privacy Preserving Vision Sensors J. Byrne Brian DeCann S. Bloom PICV 38 5 0 11 Aug 2020
Computing Blindfolded on Data Homomorphically Encrypted under Multiple Keys: An Extended Survey Asma Aloufi Peizhao Hu Yongsoo Song Kristin E. Lauter FedML 77 13 0 17 Jul 2020
SPEED: Secure, PrivatE, and Efficient Deep learning Arnaud Grivet Sébert Rafael Pinot Martin Zuber Cédric Gouy-Pailler Renaud Sirdey FedML 62 20 0 16 Jun 2020
Secure Byzantine-Robust Machine Learning Lie He Sai Praneeth Karimireddy Martin Jaggi OOD 81 60 0 08 Jun 2020
Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private Inference Brandon Reagen Wooseok Choi Yeongil Ko Vincent T. Lee Gu-Yeon Wei Hsien-Hsin S. Lee David Brooks 69 16 0 31 May 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 129 139 0 25 Apr 2020
A Review of Privacy-preserving Federated Learning for the Internet-of-Things Christopher Briggs Zhong Fan Péter András 135 15 0 24 Apr 2020
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks William Aiken Hyoungshick Kim Simon S. Woo 40 64 0 22 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 112 304 0 05 Apr 2020
Edge Intelligence: Architectures, Challenges, and Applications Dianlei Xu Tong Li Yong Li Xiang Su Sasu Tarkoma Tao Jiang Jon Crowcroft Pan Hui 116 29 0 26 Mar 2020
Not All Features Are Equal: Discovering Essential Features for Preserving Prediction Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram A. Jalali Ahmed T. Elthakeb Dean Tullsen H. Esmaeilzadeh 72 12 0 26 Mar 2020