Publications associées à SparseFool: a few pixels make a big difference

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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

SparseFool: a few pixels make a big difference

Graph Chatbot

Chattez avec Graph Search

Disentangling feature and lazy training in deep neural networks

Wavefront shaping and deep learning in fiber endoscopy

Towards Real-World Super-Resolution using Deep Neural Networks

Volumetric Transformer Networks

Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets

A deep learning framework for matching of SAR and optical imagery

Hold me tight! Influence of discriminative features on deep network boundaries

An edge detector based on artificial neural network with application to hybrid Compact-WENO finite difference schemes

Single-Stage 6D Object Pose Estimation

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

Disentangling feature and lazy training in deep neural networks

Learning How to Smile: Expression Video Generation With Conditional Adversarial Recurrent Nets

Wavefront shaping and deep learning in fiber endoscopy

A deep learning framework for matching of SAR and optical imagery

Towards Real-World Super-Resolution using Deep Neural Networks

Volumetric Transformer Networks

An edge detector based on artificial neural network with application to hybrid Compact-WENO finite difference schemes

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

Hold me tight! Influence of discriminative features on deep network boundaries

Single-Stage 6D Object Pose Estimation