154 citations · 947 across the 39 of their papers we have counts for
11 papers · 1 filter
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations
Oluwaseyi Feyisetan, Borja Balle, Thomas Drake +1
Accurately learning from user data while providing quantifiable privacy guarantees provides an opportunity to build better ML models while maintaining user trust. This paper presen…
Actor Critic with Differentially Private Critic
Jonathan Lebensold, William Hamilton, Borja Balle +1
Reinforcement learning algorithms are known to be sample inefficient, and often performance on one task can be substantially improved by leveraging information (e.g., via pre-train…
Improved Summation from Shuffling
Borja Balle, James Bell, Adria Gascon +1
A protocol by Ishai et al.\ (FOCS 2006) showing how to implement distributed -party summation from secure shuffling has regained relevance in the context of the recently propose…
Differentially Private Summation with Multi-Message Shuffling
Borja Balle, James Bell, Adria Gascon +1
In recent work, Cheu et al. (Eurocrypt 2019) proposed a protocol for -party real summation in the shuffle model of differential privacy with error and $Θ(ε\sqrt{n}…
Privacy Amplification by Mixing and Diffusion Mechanisms
Borja Balle, Gilles Barthe, Marco Gaboardi +1
A fundamental result in differential privacy states that the privacy guarantees of a mechanism are preserved by any post-processing of its output. In this paper we investigate unde…
Model-Agnostic Counterfactual Explanations for Consequential Decisions
Amir-Hossein Karimi, Gilles Barthe, Borja Balle +1
Predictive models are being increasingly used to support consequential decision making at the individual level in contexts such as pretrial bail and loan approval. As a result, the…