Publications associées à Disentangling feature and lazy training in deep neural networks

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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

Disentangling feature and lazy training in deep neural networks

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Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states

Neural Anisotropy Directions

Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation

Single-Stage 6D Object Pose Estimation

Dynamic media content categorisation method

Memory Augmented Neural Model for Incremental Session-based Recommendation

On the Relationship between Self-Attention and Convolutional Layers

AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS

Shape Reconstruction by Learning Differentiable Surface Representations

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

Phases of two-dimensional spinless lattice fermions with first-quantized deep neural-network quantum states

Shape Reconstruction by Learning Differentiable Surface Representations

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

Neural Anisotropy Directions

Single-Stage 6D Object Pose Estimation

Memory Augmented Neural Model for Incremental Session-based Recommendation

AUTOMATIC DYSARTHRIC SPEECH DETECTION EXPLOITING PAIRWISE DISTANCE-BASED CONVOLUTIONAL NEURAL NETWORKS

Fluorescence lifetime imaging with a megapixel SPAD camera and neural network lifetime estimation

Dynamic media content categorisation method

On the Relationship between Self-Attention and Convolutional Layers