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Coordinating Logistics Operations with Privacy Guarantees

Publications associées (31)

Differentially private multi-agent constraint optimization

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Distributed constraint optimization (DCOP) is a framework in which multiple agents with private constraints (or preferences) cooperate to achieve a common goal optimally. DCOPs are applicable in several multi-agent coordination/allocation problems, such as ...

Springer2024

The Privacy Power of Correlated Noise in Decentralized Learning

Rachid Guerraoui, Martin Jaggi, Youssef Allouah, Anastasiia Koloskova, Aymane El Firdoussi

Decentralized learning is appealing as it enables the scalable usage of large amounts of distributed data and resources (without resorting to any central entity), while promoting privacy since every user minimizes the direct exposure of their data. Yet, wi ...

PMLR2024

A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles

Sayan Biswas

Electric vehicles (EVs) are becoming more popular due to environmental consciousness. The limited availability of charging stations (CSs), compared to the number of EVs on the road, has led to increased range anxiety and a higher frequency of CS queries du ...

Ieee-Inst Electrical Electronics Engineers Inc2024

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

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Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

EPFL2024

On the Theory and Practice of Modern Secure Messaging

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Billions of people now have conversations daily over the Internet. A large portion of this communication takes place via secure messaging protocols that offer "end-to-end encryption'" guarantees and resilience to compromise like the widely-used Double Ratc ...

EPFL2024

Secure and Efficient Cryptographic Algorithms in a Quantum World

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Since the advent of internet and mass communication, two public-key cryptographic algorithms have shared the monopoly of data encryption and authentication: Diffie-Hellman and RSA. However, in the last few years, progress made in quantum physics -- and mo ...

EPFL2024

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

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The advancement of face recognition technology has delivered substantial societal advantages. However, it has also raised global privacy concerns due to the ubiquitous collection and potential misuse of individuals' facial data. This presents a notable par ...

Ieee-Inst Electrical Electronics Engineers Inc2024

An Ultra-High Throughput AES-Based Authenticated Encryption Scheme for 6G: Design and Implementation

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In this paper, we propose Rocca-S, an authenticated encryption scheme with a 256-bit key and a 256-bit tag targeting 6G applications bootstrapped from AES. Rocca-S achieves an encryption/decryption speed of more than 200 Gbps in the latest software environ ...

Springer International Publishing Ag2024

Bridging the gap between theoretical and practical privacy technologies for at-risk populations

Kasra Edalatnejadkhamene

With the pervasive digitalization of modern life, we benefit from efficient access to information and services. Yet, this digitalization poses severe privacy challenges, especially for special-needs individuals. Beyond being a fundamental human right, priv ...

EPFL2023

Coordinating Logistics Operations with Privacy Guarantees

Differentially private multi-agent constraint optimization

The Privacy Power of Correlated Noise in Decentralized Learning

A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

On the Theory and Practice of Modern Secure Messaging

Secure and Efficient Cryptographic Algorithms in a Quantum World

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

An Ultra-High Throughput AES-Based Authenticated Encryption Scheme for 6G: Design and Implementation

Bridging the gap between theoretical and practical privacy technologies for at-risk populations

Graph Chatbot

Differentially private multi-agent constraint optimization

The Privacy Power of Correlated Noise in Decentralized Learning

A Privacy-Preserving Querying Mechanism with High Utility for Electric Vehicles

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

On the Theory and Practice of Modern Secure Messaging

Secure and Efficient Cryptographic Algorithms in a Quantum World

PRO-Face C: Privacy-Preserving Recognition of Obfuscated Face via Feature Compensation

An Ultra-High Throughput AES-Based Authenticated Encryption Scheme for 6G: Design and Implementation

Bridging the gap between theoretical and practical privacy technologies for at-risk populations

EOS: Efficient Private Delegation of zkSNARK Provers

EOS: Efficient Private Delegation of zkSNARK Provers