Shelby Hall Graduate Research Forum Posters
Low-Power Differential Privacy Memory for Edge Devices
Files
Description
As the use of personal electronics have increased, new and improved services and applications have become the cornerstone of modern times. To improve these services, companies and institutions collect data to inform new features that are needed to support their services. Differential Privacy is a methodology to ensure that this collected data does not leak any individual’s personal information while still allowing data collectors to see trends in data. In this work, Differential Privacy is implemented at a hardware-level by injecting noise in memory. To design this memory, the failure rate of SRAM cells at different voltage levels was evaluated and used to determine several device parameters.
Publication Date
3-2025
Department
Electrical & Computer Engineering
City
Mobile
Disciplines
Data Storage Systems | Digital Circuits | Other Computer Engineering | Systems and Communications | VLSI and Circuits, Embedded and Hardware Systems
Recommended Citation
Mooney, Kyle; Renteria-Pinon, Mario; Haq, Safa; Das, Hritom; Liu, Jianqing; and Gong, Na, "Low-Power Differential Privacy Memory for Edge Devices" (2025). Shelby Hall Graduate Research Forum Posters. 19.
https://jagworks.southalabama.edu/southalabama-shgrf-posters/19