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Muriel Médard

4 accepted papers

2024

Crypto-Mine: Cryptanalysis Via Mutual Information Neural Estimation

Benjamin D. Kim, Vipindev Adat Vasudevan, Jongchan Woo, Alejandro Cohen, Rafael G. L. D'Oliveira, Thomas Stahlbuhk +1
ICASSP 2024accepted

The use of Mutual Information (MI) as a measure to evaluate the efficiency of cryptosystems has an extensive history. However, estimating MI between unknown random variables in a high-dimensional space is challenging. Recent advances in machine learning have enabled progress in estimating MI using n…

Cited by 0Source ↗Scholar ↗
2023

InfoShape: Task-Based Neural Data Shaping via Mutual Information

Homa Esfahanizadeh, William Wu, Manya Ghobadi, Regina Barzilay, Muriel Médard
ICASSP 2023accepted

The use of mutual information as a tool in private data sharing has remained an open challenge due to the difficulty of its estimation in practice. In this paper, we propose InfoShape, a task-based encoder that aims to remove unnecessary sensitive information from training data while maintaining eno…

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2021

Multi-Level Group Testing with Application to One-Shot Pooled COVID-19 Tests

Alejandro Cohen, Nir Shlezinger, Amit Solomon, Yonina C. Eldar, Muriel Médard
ICASSP 2021accepted

One of the main challenges in containing the Coronoavirus disease 2019 (COVID-19) pandemic stems from the difficulty in carrying out efficient mass diagnosis over large populations. The leading method to test for COVID-19 infection utilizes qualitative polymerase chain reaction, implemented using de…

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2020

Distributed Quantization for Sparse Time Sequences

Alejandro Cohen, Nir Shlezinger, Salman Salamatian, Yonina C. Eldar, Muriel Médard
ICASSP 2020accepted

Analog signals processed in digital hardware are quantized into a discrete bit-constrained representation. Quantization is typically carried out using analog-to-digital converters (ADCs), operating in a serial scalar manner. In some applications, a set of analog signals are acquired individually and…

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