Publications associées à Deep Learning Generalization with Limited and Noisy Labels

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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

Deep Learning Generalization with Limited and Noisy Labels

Graph Chatbot

Chattez avec Graph Search

Federated Generative Privacy

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

Regression Networks for Meta-Learning Few-Shot Classification

Partially-supervised Mention Detection

Evaluating the search phase of neural architecture search

A geometry-inspired decision-based attack

Incremental Learning Meets Reduced Precision Networks

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Biologically plausible deep learning – but how far can we go with shallow networks?

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

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

Evaluating and Interpreting Deep Convolutional Neural Networks via Non-negative Matrix Factorization

Federated Generative Privacy

Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis

Regression Networks for Meta-Learning Few-Shot Classification

Incremental Learning Meets Reduced Precision Networks

A geometry-inspired decision-based attack

Biologically plausible deep learning – but how far can we go with shallow networks?

Partially-supervised Mention Detection

Evaluating the search phase of neural architecture search