POLARIS: Explainable Artificial Intelligence for Mitigating Power Side-Channel Leakage

Microelectronic 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 diverse threats, such as, power sidechannel attacks, which infer sensitive data through dynamic...

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Veröffentlicht in:	2025 62nd ACM/IEEE Design Automation Conference (DAC) S. 1 - 7
Hauptverfasser:	Mahfuz, Tanzim, Paria, Sudipta, Suha, Tasneem, Bhunia, Swarup, Chakraborty, Prabuddha
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 22.06.2025
Schlagworte:	Explainable AI Explainable Artificial Intelligence Hardware Security Manufacturing Microelectronics Performance gain Power side-channel Analysis and Mitigation Prevention and mitigation Runtime Scalability Synthetic data System-on-chip Training
Online-Zugang:	Volltext
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