El Mahdi El Mhamdi | DeepAI

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∙ 09/30/2022

SoK: On the Impossible Security of Very Large Foundation Models

Large machine learning models, or so-called foundation models, aim to se...

0 El Mahdi El Mhamdi, et al. ∙

∙ 06/04/2021

On the Strategyproofness of the Geometric Median

The geometric median of a tuple of vectors is the vector that minimizes ...

0 El Mahdi El Mhamdi, et al. ∙

∙ 05/29/2021

Tournesol: A quest for a large, secure and trustworthy database of reliable human judgments

Today's large-scale algorithms have become immensely influential, as the...

0 Lê Nguyên Hoang, et al. ∙

∙ 10/12/2020

Garfield: System Support for Byzantine Machine Learning

Byzantine Machine Learning (ML) systems are nowadays vulnerable for they...

0 El Mahdi El Mhamdi, et al. ∙

∙ 08/03/2020

Collaborative Learning as an Agreement Problem

We address the problem of Byzantine collaborative learning: a set of n n...

3 El Mahdi El Mhamdi, et al. ∙

∙ 05/22/2020

Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training

Generative adversarial networks (GANs) are pairs of artificial neural ne...

0 Andrei Kucharavy, et al. ∙

∙ 02/28/2020

Distributed Momentum for Byzantine-resilient Learning

Momentum is a variant of gradient descent that has been proposed for its...

0 El Mahdi El Mhamdi, et al. ∙

∙ 11/18/2019

Fast Machine Learning with Byzantine Workers and Servers

Machine Learning (ML) solutions are nowadays distributed and are prone t...

0 El Mahdi El Mhamdi, et al. ∙

∙ 05/05/2019

Fast and Secure Distributed Learning in High Dimension

Modern machine learning is distributed and the work of several machines ...

0 El Mahdi El Mhamdi, et al. ∙

∙ 05/05/2019

SGD: Decentralized Byzantine Resilience

The size of the datasets available today leads to distribute Machine Lea...

0 El Mahdi El Mhamdi, et al. ∙

∙ 02/05/2019

Fatal Brain Damage

The loss of a few neurons in a brain often does not result in a visible ...

0 El Mahdi El Mhamdi, et al. ∙

∙ 06/07/2018

Removing Algorithmic Discrimination (With Minimal Individual Error)

We address the problem of correcting group discriminations within a scor...

0 El Mahdi El Mhamdi, et al. ∙

∙ 05/29/2018

Virtuously Safe Reinforcement Learning

We show that when a third party, the adversary, steps into the two-party...

0 Henrik Aslund, et al. ∙

∙ 02/22/2018

Asynchronous Byzantine Machine Learning

Asynchronous distributed machine learning solutions have proven very eff...

0 Georgios Damaskinos, et al. ∙

∙ 02/22/2018

The Hidden Vulnerability of Distributed Learning in Byzantium

While machine learning is going through an era of celebrated success, co...

0 El Mahdi El Mhamdi, et al. ∙

∙ 02/21/2018

Learning to Gather without Communication

A standard belief on emerging collective behavior is that it emerges fro...

0 El Mahdi El Mhamdi, et al. ∙

∙ 07/25/2017

On The Robustness of a Neural Network

With the development of neural networks based machine learning and their...

0 El Mahdi El Mhamdi, et al. ∙

∙ 06/27/2017

When Neurons Fail

We view a neural network as a distributed system of which neurons can fa...

0 El Mahdi El Mhamdi, et al. ∙

∙ 04/10/2017

Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning

In reinforcement learning, agents learn by performing actions and observ...

0 El Mahdi El Mhamdi, et al. ∙

∙ 03/08/2017

Byzantine-Tolerant Machine Learning

The growth of data, the need for scalability and the complexity of model...

0 Peva Blanchard, et al. ∙

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