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Safety and Robustness of Deep Neural Networks Object Recognition Under Generic Attacks
Mallek Mziou Sallami
1
Mohamed Ibn Khedher
1
Asma Trabelsi
2
Samy Kerboua-Benlarbi
1
Dimitri Bettebghor
2, 3
Mallek Mziou Sallami 1
Author
Mohamed Ibn Khedher 1
Author IdHAL : mohamed-ibn-khedher
Asma Trabelsi 2
Author
Samy Kerboua-Benlarbi 1
Author
Dimitri Bettebghor 2, 3
Author
1
IRT SystemX - IRT SystemX (Institut de recherche technologique SystemX - 8 Avenue de la Vauve, 91120 Palaiseau - France)
3
DMAS, ONERA, Université Paris Saclay (COmUE) [Châtillon] (F-92322 Châtillon - France)
- ONERA (France)
- Université Paris Saclay (COmUE) (Espace Technologique, Bât. Discovery - RD 128 - 2è ététage, 91190 Saint-Aubin - France)
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Conference papers
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https://hal.archives-ouvertes.fr/hal-02473613
Contributor : Mohamed Ibn Khedher Connect in order to contact the contributor
Submitted on : Monday, February 10, 2020 - 6:40:47 PM
Last modification on : Wednesday, November 3, 2021 - 4:22:32 AM
Contributor : Mohamed Ibn Khedher Connect in order to contact the contributor
Submitted on : Monday, February 10, 2020 - 6:40:47 PM
Last modification on : Wednesday, November 3, 2021 - 4:22:32 AM
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- HAL Id : hal-02473613, version 1
- DOI : 10.1007/978-3-030-36808-1_30
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Citation
Mallek Mziou Sallami, Mohamed Ibn Khedher, Asma Trabelsi, Samy Kerboua-Benlarbi, Dimitri Bettebghor. Safety and Robustness of Deep Neural Networks Object Recognition Under Generic Attacks. 26th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Society, Dec 2019, Sydney, Australia. pp.274-286, ⟨10.1007/978-3-030-36808-1_30⟩. ⟨hal-02473613⟩
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