Publications associées à Apprentissage automatique

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Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Sabine Süsstrunk, Mathieu Salzmann, Yulun Jiang, Chen Liu, Zhuoyi Huang

We address the problem of stably and efficiently training a deep neural network robust to adversarial perturbations bounded by an

l_1

norm. We demonstrate that achieving robustness against

l_1

-bounded perturbations is more challenging than in the

l_2

...

2023

Apprentissage automatique

Graph Chatbot

Chattez avec Graph Search

Universal and adaptive methods for robust stochastic optimization

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Euclid preparation XXII. Selection of quiescent galaxies from mock photometry using machine learning

Data Downloaded via Parachute from a NASA Super-Pressure Balloon

Regularization Techniques for Low-Resource Machine Translation

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

A Study on Gradient-based Meta-learning for Robust Deep Digital Twins

Probabilistic methods for neural combinatorial optimization

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

Impact of Redundancy on Resilience in Distributed Optimization and Learning

Universal and adaptive methods for robust stochastic optimization

Probabilistic methods for neural combinatorial optimization

A semi-supervised algorithm for improving the consistency of crowdsourced datasets: The COVID-19 case study on respiratory disorder classification

Towards Stable and Efficient Adversarial Training against $l_1$ Bounded Adversarial Attacks

Euclid preparation XXII. Selection of quiescent galaxies from mock photometry using machine learning

Data Downloaded via Parachute from a NASA Super-Pressure Balloon

A Study on Gradient-based Meta-learning for Robust Deep Digital Twins

Enhancing Epileptic Seizure Detection with EEG Feature Embeddings

Regularization Techniques for Low-Resource Machine Translation