ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits

The work

AuthorsLukas Sekanina; Vojtech Mrazek
Editors
Typeinproceedings
Year2026
Citekeysekanina2026obfax

Where it appeared

Published inProceedings of the Great Lakes Symposium on VLSI 2026 (GLSVLSI 2026)

Identifiers

arXiv2605.10355 from its landing_page_url
DOI10.1145/3787109.3815215

Related

Distinct fromaljafar2022leveraging
Distinct frommrazek2025axmed

From bibtex.

Abstract

Approximate circuits often achieve exceptional trade-offs between computational accuracy and hardware efficiency, making them attractive for deployment as reusable Intellectual Property (IP) cores. However, safeguarding such circuits against piracy is critical for enabling sustainable commercialization of approximate computing. This work addresses the emerging challenge of IP protection and piracy detection in the context of approximate hardware. We introduce a novel adversarial threat model, approximate obfuscation, in which an attacker not only conceals the design through structural obfuscation but also introduces functional modifications to ensure that the resulting circuit exhibits nearly identical error characteristics and hardware metrics as the original IP. To counter this threat, we propose an automated framework that extracts and compares statistical error profiles of protected IP cores and suspicious circuits, enabling systematic detection of potential IP theft. Through extensive experiments on a diverse set of approximate multipliers, we analyze the resilience of different approximate multipliers against approximate obfuscation. Our results provide new insights into the interplay between obfuscation, approximation, and IP protection.

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How it got here

How it got hereagent via bibtex
Added2026-09-18 01:43 UTC
Approved bya person 2026-10-05 21:17 UTC

Filed under

mrazek sekanina

Cite it as

@inproceedings{sekanina2026obfax,
  title        = {ObfAx: Obfuscation and IP Piracy Detection in Approximate Circuits},
  author       = {Lukas Sekanina and Vojtech Mrazek},
  year         = {2026},
  booktitle    = {Proceedings of the Great Lakes Symposium on VLSI 2026 (GLSVLSI 2026)},
  doi          = {10.1145/3787109.3815215},
}

This record lives at https://refs.drheap.org/sekanina2026obfax/ and will keep doing so.