Publications associées à Bandit manchot (mathématiques)

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.

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

Bandit manchot (mathématiques)

Graph Chatbot

Chattez avec Graph Search

Robust NAS under adversarial training: benchmark, theory, and beyond

Revisiting Character-level Adversarial Attacks for Language Models

On the Privacy-Robustness-Utility Trilemma in Distributed Learning

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

Alternation makes the adversary weaker in two-player games

Enriching the Computational Toolbox for Organocatalysis

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

Universal and adaptive methods for robust stochastic optimization

Why is the winner the best?

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Universal and adaptive methods for robust stochastic optimization

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

Alternation makes the adversary weaker in two-player games

Enriching the Computational Toolbox for Organocatalysis

Why is the winner the best?

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Robust NAS under adversarial training: benchmark, theory, and beyond

Revisiting Character-level Adversarial Attacks for Language Models

MULTI-TASK CURRICULUM LEARNING FOR PARTIALLY LABELED DATA

On the Privacy-Robustness-Utility Trilemma in Distributed Learning