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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...
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06/04/2021
On the Strategyproofness of the Geometric Median
The geometric median of a tuple of vectors is the vector that minimizes ...
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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...
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10/12/2020
Garfield: System Support for Byzantine Machine Learning
Byzantine Machine Learning (ML) systems are nowadays vulnerable for they...
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08/03/2020
Collaborative Learning as an Agreement Problem
We address the problem of Byzantine collaborative learning: a set of n n...
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05/22/2020
Host-Pathongen Co-evolution Inspired Algorithm Enables Robust GAN Training
Generative adversarial networks (GANs) are pairs of artificial neural ne...
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02/28/2020
Distributed Momentum for Byzantine-resilient Learning
Momentum is a variant of gradient descent that has been proposed for its...
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11/18/2019
Fast Machine Learning with Byzantine Workers and Servers
Machine Learning (ML) solutions are nowadays distributed and are prone t...
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05/05/2019
Fast and Secure Distributed Learning in High Dimension
Modern machine learning is distributed and the work of several machines ...
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05/05/2019
SGD: Decentralized Byzantine Resilience
The size of the datasets available today leads to distribute Machine Lea...
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02/05/2019
Fatal Brain Damage
The loss of a few neurons in a brain often does not result in a visible ...
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06/07/2018
Removing Algorithmic Discrimination (With Minimal Individual Error)
We address the problem of correcting group discriminations within a scor...
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05/29/2018
Virtuously Safe Reinforcement Learning
We show that when a third party, the adversary, steps into the two-party...
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02/22/2018
Asynchronous Byzantine Machine Learning
Asynchronous distributed machine learning solutions have proven very eff...
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02/22/2018
The Hidden Vulnerability of Distributed Learning in Byzantium
While machine learning is going through an era of celebrated success, co...
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02/21/2018
Learning to Gather without Communication
A standard belief on emerging collective behavior is that it emerges fro...
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07/25/2017
On The Robustness of a Neural Network
With the development of neural networks based machine learning and their...
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06/27/2017
When Neurons Fail
We view a neural network as a distributed system of which neurons can fa...
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04/10/2017
Dynamic Safe Interruptibility for Decentralized Multi-Agent Reinforcement Learning
In reinforcement learning, agents learn by performing actions and observ...
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03/08/2017
