( en | de | ru )

 

Disambiguation of "Négrevergne, Benjamin"

Author of the publication

copydeleteadd this publication to your clipboard
Randomization for adversarial robustness: the Good, the Bad and the Ugly.

, , , and . CoRR, (2023)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Benjamin Négrevergne

Benjamin Bender

Cerebrospinal fluid and interstitial fluid volume measurement in the human brain at 3T with EPI. Uni Tübingen, (2009)

Benjamin Köckemann

Abundance, niche breadth and stress in the centre and at the border of the distribution range: a macroecological study on abundant and rare tree specie. Uni Göttingen, (2008)

Benjamin Braatz

Formal modelling and application of graph transformations in the resource description framework. TU Berlin, (2009)

Benjamin Kazan

 

Other publications of authors with the same name

Adversarial attacks for mixtures of classifiers., , and . CoRR, (2023)On the expressivity of bi-Lipschitz normalizing flows., , , and . ACML, volume 189 of Proceedings of Machine Learning Research, page 1054-1069. PMLR, (2022)On the expressivity of bi-Lipschitz normalizing flows., , , and . CoRR, (2021)Detecting Strategic Moves in HearthStone Matches., , and . MLSA@PKDD/ECML, volume 1842 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Robust Neural Networks using Randomized Adversarial Training., , , , , , and . CoRR, (2019)On the Expressive Power of Deep Fully Circulant Neural Networks., , , and . CoRR, (2019)Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows., , , and . CoRR, (2023)Training Normalizing Flows with the Precision-Recall Divergence., , , and . CoRR, (2023)Exploring Precision and Recall to assess the quality and diversity of LLMs., , , , and . CoRR, (2024)Advocating for Multiple Defense Strategies Against Adversarial Examples., , , and . PKDD/ECML Workshops, volume 1323 of Communications in Computer and Information Science, page 165-177. Springer, (2020)