research
∙
09/19/2023
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption
Split learning (SL) is a new collaborative learning technique that allow...
research
∙
09/15/2023
A More Secure Split: Enhancing the Security of Privacy-Preserving Split Learning
Split learning (SL) is a new collaborative learning technique that allow...
research
∙
09/15/2023
Learning in the Dark: Privacy-Preserving Machine Learning using Function Approximation
Over the past few years, a tremendous growth of machine learning was bro...
research
∙
08/30/2023
Split Without a Leak: Reducing Privacy Leakage in Split Learning
The popularity of Deep Learning (DL) makes the privacy of sensitive data...
research
∙
01/20/2023
Split Ways: Privacy-Preserving Training of Encrypted Data Using Split Learning
Split Learning (SL) is a new collaborative learning technique that allow...
research
∙
10/27/2022
Trust and Believe – Should We? Evaluating the Trustworthiness of Twitter Users
Social networking and micro-blogging services, such as Twitter, play an ...
research
∙
07/29/2021
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation
Over the past few years, a tremendous growth of machine learning was bro...
research
∙
07/16/2021
Seeing and Believing: Evaluating the Trustworthiness of Twitter Users
Social networking and micro-blogging services, such as Twitter, play an ...
research
∙
05/22/2021