A generic framework for privacy preserving deep learning

9 November 2018

Papers citing "A generic framework for privacy preserving deep learning"

50 / 166 papers shown

Title
Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN) Edan Habler Ron Bitton D. Avraham D. Mimran Eitan Klevansky Oleg Brodt Heiko Lehmann Yuval Elovici A. Shabtai AAML 44 12 0 16 Jan 2022
Burn After Reading: Online Adaptation for Cross-domain Streaming Data Luyu Yang M. Gao Zeyuan Chen Ran Xu Abhinav Shrivastava Chetan Ramaiah 29 4 0 08 Dec 2021
FedCV: A Federated Learning Framework for Diverse Computer Vision Tasks Chaoyang He Alay Dilipbhai Shah Zhenheng Tang Adarshan Naiynar Sivashunmugam Keerti Bhogaraju Mita Shimpi Li Shen Xiaowen Chu Mahdi Soltanolkotabi Salman Avestimehr VLM FedML 37 68 0 22 Nov 2021
A Novel Optimized Asynchronous Federated Learning Framework Zhicheng Zhou Hailong Chen Kunhua Li Fei Hu Bingjie Yan ... Xuyan Wei Bernie Liu Xiulai Li Fuwen Chen Yongjie Sui FedML 28 5 0 18 Nov 2021
Flatee: Federated Learning Across Trusted Execution Environments A. Mondal Yash More Ruthu Hulikal Rooparaghunath Debayan Gupta FedML 23 18 0 12 Nov 2021
Federated Learning Attacks Revisited: A Critical Discussion of Gaps, Assumptions, and Evaluation Setups A. Wainakh Ephraim Zimmer Sandeep Subedi Jens Keim Tim Grube Shankar Karuppayah Alejandro Sánchez Guinea Max Mühlhäuser 27 9 0 05 Nov 2021
Resource-Efficient Federated Learning A. Abdelmoniem Atal Narayan Sahu Marco Canini Suhaib A. Fahmy FedML 37 55 0 01 Nov 2021
DistFL: Distribution-aware Federated Learning for Mobile Scenarios Bingyan Liu Y. Cai Ziqi Zhang Yan Liang Leye Wang Ding Li Yao Guo Xiangqun Chen OOD FedML 30 7 0 22 Oct 2021
FedSLD: Federated Learning with Shared Label Distribution for Medical Image Classification Jun Luo Shandong Wu OOD FedML 11 29 0 15 Oct 2021
Federated Learning for Big Data: A Survey on Opportunities, Applications, and Future Directions Thippa Reddy Gadekallu Viet Quoc Pham Thien Huynh-The S. Bhattacharya Praveen Kumar Reddy Maddikunta Madhusanka Liyanage FedML AI4CE 55 39 0 08 Oct 2021
Towards General-purpose Infrastructure for Protecting Scientific Data Under Study Andrew Trask Kritika Prakash 46 3 0 04 Oct 2021
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection Arthur Drichel Benedikt Holmes Justus von Brandt Ulrike Meyer 100 7 0 24 Sep 2021
CrypTen: Secure Multi-Party Computation Meets Machine Learning Brian Knott Shobha Venkataraman Awni Y. Hannun Shubho Sengupta Mark Ibrahim Laurens van der Maaten 29 348 0 02 Sep 2021
FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning Zhifeng Jiang Wen Wang Yang Liu FedML 37 49 0 02 Sep 2021
SemiFed: Semi-supervised Federated Learning with Consistency and Pseudo-Labeling Haowen Lin Jian Lou Li Xiong Cyrus Shahabi FedML 29 56 0 21 Aug 2021
SplitGuard: Detecting and Mitigating Training-Hijacking Attacks in Split Learning Ege Erdogan Alptekin Kupcu A. E. Cicek AAML 27 32 0 20 Aug 2021
FedJAX: Federated learning simulation with JAX Jae Hun Ro A. Suresh Ke Wu FedML 38 48 0 04 Aug 2021
FedLab: A Flexible Federated Learning Framework Dun Zeng Siqi Liang Xiangjing Hu Hui Wang Zenglin Xu FedML 13 107 0 24 Jul 2021
Differentially Private Bayesian Neural Networks on Accuracy, Privacy and Reliability Qiyiwen Zhang Zhiqi Bu Kan Chen Qi Long BDL UQCV 19 11 0 18 Jul 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 412 0 14 Jul 2021
Secure Quantized Training for Deep Learning Marcel Keller Ke Sun MQ 24 65 0 01 Jul 2021
A Deep Learning Approach to Private Data Sharing of Medical Images Using Conditional GANs Hanxi Sun Jason Plawinski Sajanth Subramaniam A. Jamaludin T. Kadir Aimee Readie G. Ligozio D. Ohlssen M. Baillie T. Coroller MedIm 25 5 0 24 Jun 2021
Privacy Threats Analysis to Secure Federated Learning Yuchen Li Yifan Bao Liyao Xiang Junhan Liu Cen Chen Li Wang Xinbing Wang FedML 28 7 0 24 Jun 2021
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection Tuo Zhang Chaoyang He Tian-Shya Ma Lei Gao Mark Ma Salman Avestimehr FedML 26 112 0 15 Jun 2021
Ten Quick Tips for Deep Learning in Biology Benjamin D. Lee A. Gitter Casey S. Greene S. Raschka F. Maguire ... Alexandr A Kalinin T. Triche Benjamin J. Lengerich Timothy J. Triche Jr S. Boca OOD 27 26 0 29 May 2021
A Privacy-Preserving Approach to Extraction of Personal Information through Automatic Annotation and Federated Learning Rajitha Hathurusinghe I. Nejadgholi M. Bolic 18 19 0 19 May 2021
A Lightweight Privacy-Preserving Scheme Using Label-based Pixel Block Mixing for Image Classification in Deep Learning Yuexin Xiang Tiantian Li Wei Ren Tianqing Zhu Kim-Kwang Raymond Choo 35 5 0 19 May 2021
PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC) Xiaoyu Fan Guosai Wang Kung Chen Xu He Weijiang Xu 13 7 0 17 May 2021
EasyFL: A Low-code Federated Learning Platform For Dummies Weiming Zhuang Xin Gan Yonggang Wen Shuai Zhang FedML 32 46 0 17 May 2021
The FeatureCloud AI Store for Federated Learning in Biomedicine and Beyond Julian O. Matschinske Julian Spath Reza Nasirigerdeh Reihaneh Torkzadehmahani Anne Hartebrodt ... Anna Saranti Harald H. H. W. Schmidt Christof Tschohl N. K. Wenke Jan Baumbach OOD 8 13 0 12 May 2021
SIRNN: A Math Library for Secure RNN Inference Deevashwer Rathee Mayank Rathee R. Goli Divya Gupta Rahul Sharma Nishanth Chandran Aseem Rastogi 24 103 0 10 May 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 56 244 0 29 Apr 2021
Robust Federated Learning by Mixture of Experts S. Parsaeefard Sayed Ehsan Etesami A. Leon-Garcia MoE FedML 31 4 0 23 Apr 2021
FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks Bill Yuchen Lin Chaoyang He ZiHang Zeng Hulin Wang Yufen Huang Christophe Dupuy Rahul Gupta Mahdi Soltanolkotabi Xiang Ren Salman Avestimehr FedML 30 109 0 18 Apr 2021
Efficient Ring-topology Decentralized Federated Learning with Deep Generative Models for Industrial Artificial Intelligent Zhao Wang Yifan Hu Jun Xiao Chao-Xiang Wu AI4CE 24 11 0 15 Apr 2021
FedGraphNN: A Federated Learning System and Benchmark for Graph Neural Networks Chaoyang He Keshav Balasubramanian Emir Ceyani Carl Yang Han Xie ... Yu Rong P. Zhao Junzhou Huang M. Annavaram Salman Avestimehr FedML OOD 26 2 0 14 Apr 2021
A Review of Anonymization for Healthcare Data Iyiola E. Olatunji Jens Rauch Matthias Katzensteiner Megha Khosla 8 64 0 13 Apr 2021
Practical Defences Against Model Inversion Attacks for Split Neural Networks Tom Titcombe A. Hall Pavlos Papadopoulos Daniele Romanini FedML 35 58 0 12 Apr 2021
On-device Federated Learning with Flower Akhil Mathur Daniel J. Beutel Pedro Porto Buarque de Gusmão Javier Fernandez-Marques Taner Topal Xinchi Qiu Titouan Parcollet Yan Gao Nicholas D. Lane FedML 46 37 0 07 Apr 2021
Monte Carlo execution time estimation for Privacy-preserving Distributed Function Evaluation protocols S. M. P. C. Souza Daniel G Silva FedML 11 1 0 03 Apr 2021
PyVertical: A Vertical Federated Learning Framework for Multi-headed SplitNN Daniele Romanini A. Hall Pavlos Papadopoulos Tom Titcombe Abbas Ismail Tudor Cebere R. Sandmann Robin Roehm Michael A. Hoeh FedML MU 21 91 0 01 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 22 27 0 30 Mar 2021
Privacy and Trust Redefined in Federated Machine Learning Pavlos Papadopoulos Will Abramson A. Hall Nikolaos Pitropakis William J. Buchanan 33 42 0 29 Mar 2021
Vulnerability Due to Training Order in Split Learning Harshit Madaan M. Gawali V. Kulkarni Aniruddha Pant FedML 24 6 0 26 Mar 2021
NegDL: Privacy-Preserving Deep Learning Based on Negative Database Dongdong Zhao Pingchuan Zhang Jianwen Xiang Jing Tian SyDa 11 0 0 10 Mar 2021
Scalable federated machine learning with FEDn Morgan Ekmefjord Addi Ait-Mlouk Sadi Alawadi Mattias Åkesson Desislava Stoyanova O. Spjuth Salman Toor Andreas Hellander FedML 29 41 0 27 Feb 2021
FedBN: Federated Learning on Non-IID Features via Local Batch Normalization Xiaoxiao Li Meirui Jiang Xiaofei Zhang Michael Kamp Qi Dou OOD FedML 171 791 0 15 Feb 2021
On the Impact of Device and Behavioral Heterogeneity in Federated Learning A. Abdelmoniem Chen-Yu Ho Pantelis Papageorgiou Muhammad Bilal Marco Canini FedML 24 18 0 15 Feb 2021
Self-supervised Cross-silo Federated Neural Architecture Search Xinle Liang Yang Liu Jiahuan Luo Yuanqin He Tianjian Chen Qiang Yang FedML 100 18 0 28 Jan 2021
Exploring Design and Governance Challenges in the Development of Privacy-Preserving Computation Nitin Agrawal Reuben Binns Max Van Kleek Kim Laine N. Shadbolt 26 43 0 20 Jan 2021