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02/14/2023
Randomization for adversarial robustness: the Good, the Bad and the Ugly
Deep neural networks are known to be vulnerable to adversarial attacks: ...
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05/20/2022
Towards Consistency in Adversarial Classification
In this paper, we study the problem of consistency in the context of adv...
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10/28/2021
An â„“^p-based Kernel Conditional Independence Test
We propose a new computationally efficient test for conditional independ...
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10/25/2021
Scalable Lipschitz Residual Networks with Convex Potential Flows
The Lipschitz constant of neural networks has been established as a key ...
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08/10/2021
Asymptotic convergence rates for averaging strategies
Parallel black box optimization consists in estimating the optimum of a ...
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02/22/2021
On the robustness of randomized classifiers to adversarial examples
This paper investigates the theory of robustness against adversarial att...
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02/13/2021
Mixed Nash Equilibria in the Adversarial Examples Game
This paper tackles the problem of adversarial examples from a game theor...
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01/06/2021
Adversarial Robustness by Design through Analog Computing and Synthetic Gradients
We propose a new defense mechanism against adversarial attacks inspired ...
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12/04/2020
Advocating for Multiple Defense Strategies against Adversarial Examples
It has been empirically observed that defense mechanisms designed to pro...
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10/08/2020
Black-Box Optimization Revisited: Improving Algorithm Selection Wizards through Massive Benchmarking
Existing studies in black-box optimization suffer from low generalizabil...
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06/12/2020
Handling Multiple Costs in Optimal Transport: Strong Duality and Efficient Computation
We introduce an extension of the optimal transportation (OT) problem whe...
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04/24/2020
Variance Reduction for Better Sampling in Continuous Domains
Design of experiments, random search, initialization of population-based...
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04/24/2020
Proving μ>1
Choosing the right selection rate is a long standing issue in evolutiona...
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02/10/2020
Adversarial Attacks on Linear Contextual Bandits
Contextual bandit algorithms are applied in a wide range of domains, fro...
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10/05/2019
Yet another but more efficient black-box adversarial attack: tiling and evolution strategies
We introduce a new black-box attack achieving state of the art performan...
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03/25/2019
Robust Neural Networks using Randomized Adversarial Training
Since the discovery of adversarial examples in machine learning, researc...
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02/04/2019
