Publications associées à Laboratoire de systèmes d'information et d'inférence

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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

Laboratoire de systèmes d'information et d'inférence

Graph Chatbot

Chattez avec Graph Search

Safe non-smooth black-box optimization with application to policy search

Tracking Performance of Online Stochastic Learners

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

A memory of motion for visual predictive control tasks

Byzantine machine learning

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

pyannote.audio: neural building blocks for speaker diarization

Disinformation from the Inside: Combining Machine Learning and Journalism to Investigate Sockpuppet Campaigns

When Is Amplification Necessary for Composition in Randomized Query Complexity?

Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization

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

Safe non-smooth black-box optimization with application to policy search

A memory of motion for visual predictive control tasks

Tracking Performance of Online Stochastic Learners

pyannote.audio: neural building blocks for speaker diarization

Byzantine machine learning

Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks

Disinformation from the Inside: Combining Machine Learning and Journalism to Investigate Sockpuppet Campaigns

When Is Amplification Necessary for Composition in Randomized Query Complexity?

Linear Speedup In Saddle-Point Escape For Decentralized Non-Convex Optimization