mlsanityData to 14 Oct 2026

Hardware Trojan Threats to Multi-Chiplet Photonic Neural Network Accelerators

arXiv 2609.06796 ↗First posted 6 Sep 2026cs.AR cs.AI cs.LGcited by 0

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Abstract (arXiv)

Multi-chiplet photonic neural network accelerators (MCPNAs) combine photonic computation, photonic communica-tion, and heterogeneous chiplet integration to enable scalable and energy-efficient AI acceleration. However, their distributed archi-tecture and reliance on third-party chiplets introduce significant hardware security risks. This paper examines Hardware Trojan (HT) threats to MCPNAs across three dimensions: confidentiality, integrity, and availability.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 6 of its 12 references that are in the map. First posted on arXiv 6 Sep 2026.

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6 of 12 references.

References · 6

  1. 2021CrossLight: A Cross-Layer Optimized Silicon Photonic Neural Network Acceleratorcited by 29
  2. 2023TRON: Transformer Neural Network Acceleration with Non-Coherent Silicon Photonicscited by 12
  3. 2023GHOST: A Graph Neural Network Accelerator using Silicon Photonicscited by 7
  4. 2023Machine Learning Accelerators in 2.5D Chiplet Platforms with Silicon Photonicscited by 5
  5. 2024SafeLight: Enhancing Security in Optical Convolutional Neural Network Acceleratorscited by 4
  6. 2020Exploiting Process Variations to Secure Photonic NoC Architectures from Snooping Attackscited by 3

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