Wednesday, June 25, 2025 - 13:00
The School of Computer Science presents...
MAC Technical Workshop- Homomorphic Encryption(2nd Offering)
Presenter: Safiia Mohammed
Date: Wednesday, June 25, 2025
Time: 1:00 pm
Location: 4th Floor (Lecture Space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)
Abstract:
Homomorphic encryption is a cryptographic method that allows computations on encrypted data without decrypting it. This ensures that sensitive information remains secure throughout processing. When decrypted, the results of these computations match those that would be obtained if the operations were performed on the unencrypted data. Homomorphic encryption is crucial for privacy-preserving applications, such as secure cloud computing, medical data analysis, and financial services, where sensitive data must be processed without exposing it to third parties.
Homomorphic encryption is a cryptographic method that allows computations on encrypted data without decrypting it. This ensures that sensitive information remains secure throughout processing. When decrypted, the results of these computations match those that would be obtained if the operations were performed on the unencrypted data. Homomorphic encryption is crucial for privacy-preserving applications, such as secure cloud computing, medical data analysis, and financial services, where sensitive data must be processed without exposing it to third parties.
Workshop Outline:
- What is Homomorphic encryption?
- When and why do we use it?
- Homomorphic encryption examples
- Hands-on
Prerequisites:
Background about AI and Machine learning
Biography:
Safiia is a PhD student at the School of Computer Science; her research interests include Responsible AI, Privacy, Security, and Digital Forensics.