Publications associées à Confidence Matters: Applications to Semantic Segmentation

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.

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

Confidence Matters: Applications to Semantic Segmentation

Graph Chatbot

Chattez avec Graph Search

Crowding and the Architecture of the Visual System

The Unstoppable Rise of Computational Linguistics in Deep Learning

Three-dimensional tomography of red blood cells using deep learning

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

Upgrading the Newsroom: An Automated Image Selection System for News Articles

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

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

Geometry of adversarial robustness of deep networks: methods and applications

SparseFool: a few pixels make a big difference

Jamming transition as a paradigm to understand the loss landscape of deep neural networks

Three-dimensional tomography of red blood cells using deep learning

Crowding and the Architecture of the Visual System

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

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

The Unstoppable Rise of Computational Linguistics in Deep Learning

Geometry of adversarial robustness of deep networks: methods and applications

SparseFool: a few pixels make a big difference

Upgrading the Newsroom: An Automated Image Selection System for News Articles

Optimizer Benchmarking Needs to Account for Hyperparameter Tuning

Jamming transition as a paradigm to understand the loss landscape of deep neural networks