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Jean-Charles Verdier
Jean-Charles Verdier
Assistant research University of Sherbrooke
usherbrooke.ca의 이메일 확인됨
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A revealing large-scale evaluation of unsupervised anomaly detection algorithms
M Alvarez, JC Verdier, DJK Nkashama, M Frappier, PM Tardif, F Kabanza
arXiv preprint arXiv:2204.09825, 2022
112022
Robustness evaluation of deep unsupervised learning algorithms for intrusion detection systems
D Nkashama, A Soltani, JC Verdier, M Frappier, PM Tardif, F Kabanza
arXiv preprint arXiv:2207.03576, 2022
52022
The drawback of binary labeling for the evaluation of unsupervised intrusion detection algorithms
JC Verdier, DJK Nkashama, M Frappier, PM Tardif, F Kabanza
Marc and Tardif, Pierre-Martin and Kabanza, Froduald, The Drawback of Binary …, 0
1
Robustness Evaluation of Deep Unsupervised Learning Algorithms for Intrusion Detection Systems
KN D’Jeff, A Soltani, JC Verdier, M Frappier, PM Tardif, F Kabanza
ÉVALUATION DES ALGORITHMES DE DÉTECTION D’ANOMALIES NON SUPERVISÉS
JC Verdier
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학술자료 1–5