Papers
Topics
Authors
Recent
Assistant
AI Research Assistant
Well-researched responses based on relevant abstracts and paper content.
Custom Instructions Pro
Preferences or requirements that you'd like Emergent Mind to consider when generating responses.
Gemini 2.5 Flash
Gemini 2.5 Flash 63 tok/s
Gemini 2.5 Pro 50 tok/s Pro
GPT-5 Medium 19 tok/s Pro
GPT-5 High 29 tok/s Pro
GPT-4o 101 tok/s Pro
Kimi K2 212 tok/s Pro
GPT OSS 120B 438 tok/s Pro
Claude Sonnet 4.5 36 tok/s Pro
2000 character limit reached

In-Situ Thickness Measurement of Die Silicon Using Voltage Imaging for Hardware Assurance (2307.13118v1)

Published 24 Jul 2023 in eess.IV

Abstract: Hardware assurance of electronics is a challenging task and is of great interest to the government and the electronics industry. Physical inspection-based methods such as reverse engineering (RE) and Trojan scanning (TS) play an important role in hardware assurance. Therefore, there is a growing demand for automation in RE and TS. Many state-of-the-art physical inspection methods incorporate an iterative imaging and delayering workflow. In practice, uniform delayering can be challenging if the thickness of the initial layer of material is non-uniform. Moreover, this non-uniformity can reoccur at any stage during delayering and must be corrected. Therefore, it is critical to evaluate the thickness of the layers to be removed in a real-time fashion. Our proposed method uses electron beam voltage imaging, image processing, and Monte Carlo simulation to measure the thickness of remaining silicon to guide a uniform delayering process

Citations (1)

Summary

We haven't generated a summary for this paper yet.

Lightbulb Streamline Icon: https://streamlinehq.com

Continue Learning

We haven't generated follow-up questions for this paper yet.

List To Do Tasks Checklist Streamline Icon: https://streamlinehq.com

Collections

Sign up for free to add this paper to one or more collections.