Deep Learning for In-Vehicle Intrusion Detection System

Autor: Jean-Christophe Janodet, Blaise Hanczar, Elies Gherbi, Witold Klaudel

Publikováno v: Communications in Computer and Information Science
27th International Conference on Neural Information Processing (ICONIP 2020)
27th International Conference on Neural Information Processing (ICONIP 2020), Nov 2020, Bangkok, Thailand. pp.50--58, ⟨10.1007/978-3-030-63820-7_6⟩
Communications in Computer and Information Science ISBN: 9783030638191
ICONIP (4)

International audience; Modern and future vehicles are complex cyber-physical systems. The connection to their outside environment raises many security problems that impact our safety directly. In this work, we propose a Deep CAN intrusion detection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0c1d542b0da08b55ca0e90a8b6394dbb
https://hal.archives-ouvertes.fr/hal-03046673

On the complexity of submap isomorphism and maximum common submap problems

Autor: Jean-Christophe Janodet, Christine Solnon, Guillaume Damiand, Colin de la Higuera

Publikováno v: Pattern Recognition
Pattern Recognition, Elsevier, 2015, 48 (2), pp.302--316. ⟨10.1016/j.patcog.2014.05.019⟩
Pattern Recognition, 2015, 48 (2), pp.302--316. ⟨10.1016/j.patcog.2014.05.019⟩

Generalized maps describe the subdivision of objects in cells and are widely used to model 2D and 3D images. In this context, several pattern recognition tasks involve solving submap isomorphism problems (to decide if a map is included in another map

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b31beb0d010cec296cb7ca7e6406e4c
https://hal.archives-ouvertes.fr/hal-01022418

Adaptation du boosting à l'inférence grammaticalevial'utilisation d'un oracle de confiance

Autor: Henri-Maxime Suchier, Jean-Christophe Janodet, Marc Sebban, Richard Nock

Publikováno v: Revue d'intelligence artificielle. 19:713-740

In this paper we focus on the adaptation of boosting to grammatical inference. We aim at improving the performances of state merging algorithms in the presence of noisy data by using, in the update rule, additional information provided by an oracle.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::f2c7d989478aefb55485d115bb61b928
https://doi.org/10.3166/ria.19.713-740

Polynomial algorithms for open plane graph and subgraph isomorphisms

Autor: Guillaume Damiand, Colin de la Higuera, ímilie Samuel, Christine Solnon, Jean-Christophe Janodet

Publikováno v: Theoretical Computer Science
Theoretical Computer Science, Elsevier, 2013, 498, pp.76-99. ⟨10.1016/j.tcs.2013.05.026⟩
Theoretical Computer Science, 2013, 498, pp.76-99. ⟨10.1016/j.tcs.2013.05.026⟩

International audience; Graphs are used as models in a variety of situations. In some cases, e.g. to model images or maps, the graphs will be drawn in the plane, and this feature can be used to obtain new algorithmic results. In this work, we introdu

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47dc0195af0402d52faef3519de24cf0
https://hal.archives-ouvertes.fr/hal-00832098/file/hjsds13.pdf

Extracting Plane Graphs from Images

Autor: Émilie Samuel, Jean-Christophe Janodet, Colin de la Higuera

Publikováno v: Structural, Syntactic, and Statistical Pattern Recognition, Joint IAPR International Workshop
Structural and Syntactic Pattern Recognition (SSPR)
Structural and Syntactic Pattern Recognition (SSPR), Aug 2010, Cesme, Turkey. pp.233-243
Lecture Notes in Computer Science ISBN: 9783642149795
SSPR/SPR

International audience; In order to use structural techniques from graph-based pattern recognition, a first necessary step consists in extracting a graph in an automatic way from an image. We propose to extract plane graphs, because of algorithmic pr

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::eab28b321a6c60111f65f6bf261c6e49
https://hal-ujm.archives-ouvertes.fr/ujm-00531224