8 citations · 12 across the 3 of their papers we have counts for
5 papers
High Performance Logistic Regression for Privacy-Preserving Genome Analysis
Martine De Cock, Rafael Dowsley, Anderson C. A. Nascimento +3
In this paper, we present a secure logistic regression training protocol and its implementation, with a new subprotocol to securely compute the activation function. To the best of…
Protecting Privacy of Users in Brain-Computer Interface Applications
Anisha Agarwal, Rafael Dowsley, Nicholas D. McKinney +4
Machine learning (ML) is revolutionizing research and industry. Many ML applications rely on the use of large amounts of personal data for training and inference. Among the most in…
On the Commitment Capacity of Unfair Noisy Channels
Claude Crépeau, Rafael Dowsley, Anderson C. A. Nascimento
Noisy channels are a valuable resource from a cryptographic point of view. They can be used for exchanging secret-keys as well as realizing other cryptographic primitives such as c…
A Framework for Efficient Adaptively Secure Composable Oblivious Transfer in the ROM
Paulo S. L. M. Barreto, Bernardo David, Rafael Dowsley +2
Oblivious Transfer (OT) is a fundamental cryptographic protocol that finds a number of applications, in particular, as an essential building block for two-party and multi-party com…
Weakening the Isolation Assumption of Tamper-proof Hardware Tokens
Rafael Dowsley, Jörn Müller-Quade, Tobias Nilges
Recent results have shown the usefulness of tamper-proof hardware tokens as a setup assumption for building UC-secure two-party computation protocols, thus providing broad security…