Author

Matías Mazzanti

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Preprint Aug 2026

When and Where Faults Matter: A Study of Transient Errors in CKKS Multiplication

Homomorphic Encryption (HE) is a privacy-preserving encryption paradigm that enables computation directly on encrypted data without requiring decryption. In this paper, we study errors in fully homomorphic encryption (FHE) computations, with a particular focus on server-side homomorphic multiplication in the unoptimized CKKS (Cheon--Kim--Kim--Song) scheme. We show that both the timing and the location of errors in the ciphertext components \(c_0\) and \(c_1\) have a significant impact on the correctness of the final FHE output.

Vattana Chan, Matías Mazzanti, Karthik Swaminathan et al. · 0 citations

Preprint Aug 2026

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

This work identifies 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.

Matías Mazzanti, Vattana Chan, Karthik Swaminathan et al. · 0 citations