1 citations · 1 across the 4 of their papers we have counts for
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On the Sensitivity to Errors in Homomorphic Computing: Single Transient Bit-flip Client-side Error Characterization
Matías Mazzanti, Vattana Chan, Karthik Swaminathan +3
Homomorphic Encryption (HE) enables computation on encrypted data without decryption and is a key primitive for privacy-preserving computation in sensitive domains such as healthca…
When and Where Faults Matter: A Study of Transient Errors in CKKS Multiplication
Vattana Chan, Matías Mazzanti, Karthik Swaminathan +3
Homomorphic Encryption (HE) is a privacy-preserving encryption paradigm that enables computation directly on encrypted data without requiring decryption. In this paper, we study er…
Understanding the Error Sensitivity of Privacy-Aware Computing
Matías Mazzanti, Esteban Mocskos, Augusto Vega +1
Homomorphic Encryption (HE) enables secure computation on encrypted data without decryption, allowing a great opportunity for privacy-preserving computation. In particular, domains…