Publications by Nicolas Henri Bernard Flammarion

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Square Attack: a query-efficient black-box adversarial attack via random search

Nicolas Henri Bernard Flammarion, Maksym Andriushchenko, Francesco Croce

We propose the Square Attack, a new score-based black-box

l_2

and

l_\infty

adversarial attack that does not rely on local gradient information and thus is not affected by gradient masking. The Square Attack is based on a randomized search scheme where ...

2020

Nicolas Henri Bernard Flammarion

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An Efficient Sampling Algorithm for Non-smooth Composite Potentials

Last iterate convergence of SGD for Least-Squares in the Interpolation regime

On the effectiveness of adversarial training against common corruptions

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

A Continuized View on Nesterov Acceleration

Is there an analog of Nesterov acceleration for gradient-based MCMC?

Online Robust Regression via SGD on the l1 loss

On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent

Understanding and Improving Fast Adversarial Training

Square Attack: a query-efficient black-box adversarial attack via random search

A Continuized View on Nesterov Acceleration

An Efficient Sampling Algorithm for Non-smooth Composite Potentials

Is there an analog of Nesterov acceleration for gradient-based MCMC?

Understanding and Improving Fast Adversarial Training

Online Robust Regression via SGD on the l1 loss

Last iterate convergence of SGD for Least-Squares in the Interpolation regime

Implicit Bias of SGD for Diagonal Linear Networks: a Provable Benefit of Stochasticity

On the effectiveness of adversarial training against common corruptions

On Convergence-Diagnostic based Step Sizes for Stochastic Gradient Descent

Square Attack: a query-efficient black-box adversarial attack via random search