Work

Physical Design-Aware Power Side-Channel Leakage Assessment Framework using Deep Learning

Year: 2025

Type: conference-paper

Source: IEEE International Symposium on Circuits and Systems proceedings

DOI: 10.1109/iscas56072.2025.11043283

Authors: Dipayan Saha, Jingbo Zhou, Farimah Farahmandi

Institution: University of Florida

Language: English

Topic: Cryptographic Implementations and Security

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4411726652

FWCI: 3.964

Cites: 21

Cited by: 4

Related to: 10