3 papers
cs.CR2024
S3PHER: Secure and Searchable System for Patient-driven HEalth data shaRing
Ivan Costa, Ivone Amorim, Eva Maia +2
Healthcare data contains some of the most sensitive information about an individual, yet sharing this data with healthcare practitioners can significantly enhance patient care and…
cs.CR2023
Data Privacy with Homomorphic Encryption in Neural Networks Training and Inference
Ivone Amorim, Eva Maia, Pedro Barbosa +1
The use of Neural Networks (NNs) for sensitive data processing is becoming increasingly popular, raising concerns about data privacy and security. Homomorphic Encryption (HE) has t…
cs.FL2014
Statistical Study On The Number Of Injective Linear Finite Transducers
Ivone Amorim, António Machiavelo, Rogério Reis
The notion of linear finite transducer (LFT) plays a crucial role in some cryptographic systems. In this paper we present a way to get an approximate value, by random sampling, for…