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05/18/2023
Amplification by Shuffling without Shuffling
Motivated by recent developments in the shuffle model of differential pr...
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05/18/2022
No More Pesky Hyperparameters: Offline Hyperparameter Tuning for RL
The performance of reinforcement learning (RL) agents is sensitive to th...
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09/15/2021
MPC-Friendly Commitments for Publicly Verifiable Covert Security
We address the problem of efficiently verifying a commitment in a two-pa...
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03/23/2021
Integrating Novelty Detection Capabilities with MSL Mastcam Operations to Enhance Data Analysis
While innovations in scientific instrumentation have pushed the boundari...
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06/25/2020
Differentially Private Health Tokens for Estimating COVID-19 Risk
In the fight against Covid-19, many governments and businesses are in th...
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04/08/2020
TraceSecure: Towards Privacy Preserving Contact Tracing
Contact tracing is being widely employed to combat the spread of COVID-1...
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02/03/2020
Private Summation in the Multi-Message Shuffle Model
The shuffle model of differential privacy (Erlingsson et al. SODA 2019; ...
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10/09/2019
Private Protocols for U-Statistics in the Local Model and Beyond
In this paper, we study the problem of computing U-statistics of degree ...
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09/24/2019
Improved Summation from Shuffling
A protocol by Ishai et al. (FOCS 2006) showing how to implement distribu...
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06/20/2019
Differentially Private Summation with Multi-Message Shuffling
In recent work, Cheu et al. (Eurocrypt 2019) proposed a protocol for n-p...
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03/07/2019