Presentation
Assessing Matrix Multiplication Performance with Fully Homomorphic Encryption
DescriptionAs data from various domains is increasingly shared and processed in the cloud, Homomorphic Encryption (HE) provides a crucial solution for ensuring privacy in the post-quantum era. In this work, we evaluate the performance and accuracy of the HE matrix multiplication leveraging SEAL
library kernels. Moreover, we compare it against EVA, which offers optimized HE parameters to conduct this operation.
Not only performance results are shown in our poster — check out how working with more appropriate parameters reduces the execution time while keeping the accuracy of the result.
library kernels. Moreover, we compare it against EVA, which offers optimized HE parameters to conduct this operation.
Not only performance results are shown in our poster — check out how working with more appropriate parameters reduces the execution time while keeping the accuracy of the result.

Event Type
ACM Student Research Competition: Graduate Poster
ACM Student Research Competition: Undergraduate Poster
Doctoral Showcase
Posters
TimeTuesday, 19 November 202412pm - 5pm EST
LocationB302-B305
TP
XO/EX
Similar Presentations