TruPS
Enhancing Trusted Transatlantic Data Processing and Storage with Fully Homomorphic Encryption
About Trups.
By leveraging Fully Homomorphic Encryption (FHE), TruPS enables data to remain encrypted throughout processing and storage, ensuring that sensitive information is never exposed - even during ML/AI computation.
This approach facilitates privacy-preserving cross-border data operations, allowing organizations to perform analytics and ML/AI on encrypted datasets without compromising confidentiality.
Trups Team
Richard Lomotey, PhD
Richard Lomotey, PhD
Richard Lomotey, PhD
Associate Professor, Information Technology, Penn State University - Beaver Campus
Madhurima Ray, PhD
Richard Lomotey, PhD
Richard Lomotey, PhD
Assistant Professor, Computer Science, Penn State University - Beaver Campus
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or European Commission. Neither the European Union nor the granting authority can be held responsible for them. Funded within the framework of the NGI Sargasso project under grant agreement No 101092887.