104 citations
- Goddard Space Flight CenterUS4 papers
- Planetary Science InstituteUS4 papers
- University of California, BerkeleyUS4 papers
- Centre National de la Recherche ScientifiqueFR3 papers
- Institut de Recherche sur les Lois Fondamentales de l'UniversFR3 papers
- Jet Propulsion LaboratoryUS3 papers
- Southeastern Universities Research AssociationUS3 papers
- University of LeicesterGB3 papers
- University of the Basque CountryES3 papers
- Laboratoire d’études spatiales et d’instrumentation en astrophysiqueFR2 papers
- Local Initiatives Support CorporationUS2 papers
- Sorbonne Paris CitéFR2 papers
Showing 2019 · cs.LGShow all
3 papers · 2 filters
cs.LG2019★ 1 cited
Embedded Constrained Feature Construction for High-Energy Physics Data Classification
Noëlie Cherrier, Maxime Defurne, Jean-Philippe Poli +1
Before any publication, data analysis of high-energy physics experiments must be validated. This validation is granted only if a perfect understanding of the data and the analysis…
cs.LG2019
CAMUS: A Framework to Build Formal Specifications for Deep Perception Systems Using Simulators
Julien Girard-Satabin, Guillaume Charpiat, Zakaria Chihani +1
The topic of provable deep neural network robustness has raised considerable interest in recent years. Most research has focused on adversarial robustness, which studies the robust…
cs.LG2019★ 35 cited
Theoretical evidence for adversarial robustness through randomization
Rafael Pinot, Laurent Meunier, Alexandre Araujo +4
This paper investigates the theory of robustness against adversarial attacks. It focuses on the family of randomization techniques that consist in injecting noise in the network at…