Presentation
POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage
DescriptionMicroelectronic systems are widely used in many sensitive applications (e.g., manufacturing, energy, defense). These systems increasingly handle sensitive data (e.g., encryption key) and are vulnerable to threats such as power side-channel attacks (infers sensitive data from power leakage). We present a novel framework, POLARIS for mitigating power side channel leakage using an Explainable Artificial Intelligence (XAI) guided masking approach. POLARIS uses an unsupervised process to automatically build a tailored training dataset and utilize it to train a masking model. The POLARIS framework outperforms VALIANT (state-of-the-art) in terms of leakage reduction, execution time, and overhead across large designs.
Event Type
Research Manuscript
TimeMonday, June 232:15pm - 2:30pm PDT
Location3006, Level 3
Security
SEC3: Hardware Security: Attack & Defense