Privacy and Trust Redefined in Federated Machine Learning

Privacy and Trust Redefined in Federated Machine Learning

29 March 2021

Pavlos Papadopoulos

Nikolaos Pitropakis

William J. Buchanan

Papers citing "Privacy and Trust Redefined in Federated Machine Learning"

15 / 15 papers shown

Title
Federated Learning for Cyber Physical Systems: A Comprehensive Survey Minh K. Quan P. Pathirana M. Wijayasundara S. Setunge Dinh C. Nguyen Christopher G. Brinton David J. Love H. Vincent Poor AI4CE 49 0 0 08 May 2025
A Comprehensive Survey and Classification of Evaluation Criteria for Trustworthy Artificial Intelligence Louise McCormack Malika Bendechache XAI 29 0 0 10 Oct 2024
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review Md. Shahin Ali M. Ahsan Lamia Tasnim Sadia Afrin Koushik Biswas Maruf Md. Sajjad Hossain Md Mahfuz Ahmed Ronok Hashan Md. Khairul Islam Shivakumar Raman 30 5 0 22 May 2024
Recent Methodological Advances in Federated Learning for Healthcare Fan Zhang Daniel Kreuter Yichen Chen Sören Dittmer Samuel Tull ... James H. F. Rudd J. A. Aston Carola-Bibiane Schönlieb Nicholas S. Gleadall Michael Roberts FedML OOD 21 5 0 04 Oct 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 25 9 0 19 May 2023
AI Product Security: A Primer for Developers Ebenezer R. H. P. Isaac J. Reno 14 2 0 18 Apr 2023
Differential Privacy: What is all the noise about? Roxana Dánger Mercaderes 22 3 0 19 May 2022
GLASS: A Citizen-Centric Distributed Data-Sharing Model within an e-Governance Architecture O. Lo William J. Buchanan Dr Sarwar Sayeed Pavlos Papadopoulos Nikolaos Pitropakis C. Chrysoulas 11 18 0 16 Mar 2022
Ransomware: Analysing the Impact on Windows Active Directory Domain Services Grant McDonald Pavlos Papadopoulos Nikolaos Pitropakis Jawad Ahmad William J. Buchanan 8 20 0 07 Feb 2022
Privacy-preserving and Trusted Threat Intelligence Sharing using Distributed Ledgers Hisham Ali Pavlos Papadopoulos Jawad Ahmad Nikolaos Pitropakis Z. Jaroucheh William J. Buchanan 15 6 0 19 Dec 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 17 512 0 16 Nov 2021
Providing Assurance and Scrutability on Shared Data and Machine Learning Models with Verifiable Credentials I. Barclay Alun D. Preece Ian J. Taylor S. Radha J. Nabrzyski 14 14 0 13 May 2021
Practical Defences Against Model Inversion Attacks for Split Neural Networks Tom Titcombe A. Hall Pavlos Papadopoulos Daniele Romanini FedML 17 58 0 12 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 13 90 0 01 Apr 2021
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,032 0 29 Nov 2018