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标题: "On the Sensitivity to Errors in Homomorphic Computing: Single Transient Bit-flip Client-side Error Characterization"
原文链接: "https://arxiv.org/abs/2608.11155"
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---

## Computer Science > Hardware Architecture

## Title:On the Sensitivity to Errors in Homomorphic Computing: Single Transient Bit-flip Client-side Error Characterization

[View PDF](https://arxiv.org/pdf/2608.11155) [HTML (experimental)](https://arxiv.org/html/2608.11155v1)

> Abstract:Homomorphic Encryption (HE) enables computation on encrypted data without decryption and is a key primitive for privacy-preserving computation in sensitive domains such as healthcare, finance, and government. Its security relies on noise injection, which introduces intrinsic error sensitivity and raises concerns about the fault tolerance of HE systems, as hardware- and software-induced faults can evade traditional detection mechanisms and lead to silent data corruption.  
> In this work, we analyze the sensitivity of HE to bit-level faults, focusing on the CKKS (Cheon--Kim--Kim--Song) scheme widely used for approximate arithmetic in AI and machine learning workloads. We identify homomorphic multiplication as the most error-sensitive operation in practical HE pipelines and characterize how faults propagate and amplify through it, exposing a critical robustness vulnerability and motivating the need for more resilient HE deployments.

| Comments: |  |
| --- | --- |
| Subjects: | Hardware Architecture (cs.AR); Cryptography and Security (cs.CR) |
| Cite as: | [arXiv:2608.11155](https://arxiv.org/abs/2608.11155) \[cs.AR\] |
|  | (or [arXiv:2608.11155v1](https://arxiv.org/abs/2608.11155v1) \[cs.AR\] for this version) |
|  | [https://doi.org/10.48550/arXiv.2608.11155](https://doi.org/10.48550/arXiv.2608.11155) |

## Submission history

From: Matias Mazzanti \[[view email](https://arxiv.org/show-email/ddc5bdde/2608.11155)\]  
**\[v1\]** Tue, 11 Aug 2026 17:13:39 UTC (274 KB)

[Which authors of this paper are endorsers?](https://arxiv.org/auth/show-endorsers/2608.11155) | Disable MathJax ([What is MathJax?](https://info.arxiv.org/help/mathjax.html))
