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Home/Authors/Beatriz S

Beatriz S

1 indexed paper

Recent (6 mo)
1
With code
0
Influential cites
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Publications per year

1
26

Top categories

Crypto×1AI×1

Frequent co-authors

Alexandre Marques1×
Beatriz Sá1×
Rui Botelho1×
Pedro Pinto1×

Research Timeline

2026
Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption

The paper proposes and validates a privacy-preserving framework using Homomorphic Encryption (HE) to train and run Machine Learning models on sensitive data while keeping it encrypted throughout the entire process.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.AIRecentApr 25, 2026

Training Machine Learning Models on Encrypted Data: A Privacy-Preserving Framework using Homomorphic Encryption

Alexandre Marques, Beatriz Sá, Rui Botelho, Pedro Pinto

The paper proposes and validates a privacy-preserving framework using Homomorphic Encryption (HE) to train and run Machine Learning models on sensitive data while keeping it encrypted throughout the e…

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