5 papers · 1 filter
From See to Shield: ML-Assisted Fine-Grained Access Control for Visual Data
Mete Harun Akcay, Buse Gul Atli, Siddharth Prakash Rao +1
As the volume of stored data continues to grow, identifying and protecting sensitive information within large repositories becomes increasingly challenging, especially when shared…
Love or Hate? Share or Split? Privacy-Preserving Training Using Split Learning and Homomorphic Encryption
Tanveer Khan, Khoa Nguyen, Antonis Michalas +1
Split learning (SL) is a new collaborative learning technique that allows participants, e.g. a client and a server, to train machine learning models without the client sharing raw…
Heal the Privacy: Functional Encryption and Privacy-Preserving Analytics
Alexandros Bakas, Antonis Michalas
Secure cloud storage is an issue of paramount importance that both businesses and end-users should take into consideration before moving their data to, potentially, untrusted cloud…
Blind Faith: Privacy-Preserving Machine Learning using Function Approximation
Tanveer Khan, Alexandros Bakas, Antonis Michalas
Over the past few years, a tremendous growth of machine learning was brought about by a significant increase in adoption of cloud-based services. As a result, various solutions hav…
Attestation Waves: Platform Trust via Remote Power Analysis
Ignacio M. Delgado-Lozano, Macarena C. Martínez-Rodríguez, Alexandros Bakas +2
Attestation is a strong tool to verify the integrity of an untrusted system. However, in recent years, different attacks have appeared that are able to mislead the attestation proc…