Publications associées à Geometric robustness of deep networks: analysis and improvement

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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

Geometric robustness of deep networks: analysis and improvement

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Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

A Plug-and-Play Deep Image Prior

Disentangling feature and lazy training in deep neural networks

Crowding and the Architecture of the Visual System

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

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

Neural Anisotropy Directions

Shape Reconstruction by Learning Differentiable Surface Representations

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

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

A Plug-and-Play Deep Image Prior

Disentangling feature and lazy training in deep neural networks

Crowding and the Architecture of the Visual System

On Vacuous and Non-Vacuous Generalization Bounds for Deep Neural Networks.

Supplementary Material - AL2: Progressive Activation Loss for Learning General Representations in Classification Neural Networks

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

Neural Anisotropy Directions

Shape Reconstruction by Learning Differentiable Surface Representations

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