Publications associées à Robustness and invariance properties of image classifiers

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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

Robustness and invariance properties of image classifiers

Graph Chatbot

Chattez avec Graph Search

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Probabilistic Deep Learning on Spheres for Weather/Climate Applications

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

Robust P2P Personalized Learning

Shape Reconstruction by Learning Differentiable Surface Representations

Regression Networks for Meta-Learning Few-Shot Classification

Redundant features can hurt robustness to distribution shift

SparseFool: a few pixels make a big difference

A geometry-inspired decision-based attack

Geometry of adversarial robustness of deep networks: methods and applications

Shape Reconstruction by Learning Differentiable Surface Representations

Robust P2P Personalized Learning

Redundant features can hurt robustness to distribution shift

SparseFool: a few pixels make a big difference

Probabilistic Deep Learning on Spheres for Weather/Climate Applications

A geometry-inspired decision-based attack

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

Tracing in 2D to reduce the annotation effort for 3D deep delineation of linear structures

Regression Networks for Meta-Learning Few-Shot Classification

Geometry of adversarial robustness of deep networks: methods and applications