Publication

Affine-malleable Extractors, Spectrum Doubling, and Application to Privacy Amplification

Related publications (32)

Side-channel analysis of isogeny-based key encapsulation mechanisms and hash-based digital signatures

Current cryptographic solutions will become obsolete with the arrival of large-scale universal quantum computers. As a result, the National Institute of Standards and Technology supervises a post-quantum standardization process which involves evaluating ca ...

EPFL2024

Differentially private multi-agent constraint optimization

Boi Faltings, Aleksei Triastcyn, Sankarshan Damle, Sujit Prakash Gujar

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

Secure and Efficient Cryptographic Algorithms in a Quantum World

Loïs Evan Huguenin-Dumittan

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

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Anastasiia Koloskova

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

Anthony C Davison and Igor Rodionov's contribution to the Discussion of 'Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas

Anthony Christopher Davison, Igor Rodionov

We derive confidence intervals (CIs) and confidence sequences (CSs) for the classical problem of estimating a bounded mean. Our approach generalizes and improves on the celebrated Chernoff method, yielding the best closed-form "empirical-Bernstein" CSs and ...

Oxford Univ Press2024

On the Theory and Practice of Modern Secure Messaging

Daniel Patrick Collins

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

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

Rapidly verifiable aggregate signatures

Rachid Guerraoui, Gauthier Jérôme Timothée Voron, Martina Camaioni, Matteo Monti, Manuel José Ribeiro Vidigueira, Pierre-Louis Blaise Roman

A method for aggregating digital signatures comprises the following steps carried out by a signature aggregator: receiving first data packages from signers, each first data package comprising a signer identifier, a payload, and a payload signature; verifyi ...

2024

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

Affine-malleable Extractors, Spectrum Doubling, and Application to Privacy Amplification

Side-channel analysis of isogeny-based key encapsulation mechanisms and hash-based digital signatures

Differentially private multi-agent constraint optimization

Secure and Efficient Cryptographic Algorithms in a Quantum World

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Anthony C Davison and Igor Rodionov's contribution to the Discussion of 'Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas

On the Theory and Practice of Modern Secure Messaging

The Privacy Power of Correlated Noise in Decentralized Learning

Rapidly verifiable aggregate signatures

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

Graph Chatbot

Side-channel analysis of isogeny-based key encapsulation mechanisms and hash-based digital signatures

Differentially private multi-agent constraint optimization

Secure and Efficient Cryptographic Algorithms in a Quantum World

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Anthony C Davison and Igor Rodionov's contribution to the Discussion of 'Estimating means of bounded random variables by betting' by Waudby-Smith and Ramdas

On the Theory and Practice of Modern Secure Messaging

The Privacy Power of Correlated Noise in Decentralized Learning

Rapidly verifiable aggregate signatures

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

Modelling and design of CMOS SPAD sensors for quantum random number generation

Modelling and design of CMOS SPAD sensors for quantum random number generation