Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection
- DOI
- 10.5220/0012125100003538
- Published
- 2023
- Container
- Proceedings of the 18th International Conference on Software Technologies
- Publisher
- SCITEPRESS - Science and Technology Publications
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.5220/0012125100003538,
title = {Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection},
author = {Anis Bouaziz and Manh-Dung Nguyen and Valeria Valdés and Ana Cavalli and Wissam Mallouli},
year = {2023},
journal = {Proceedings of the 18th International Conference on Software Technologies},
doi = {10.5220/0012125100003538},
url = {https://doi.org/10.5220/0012125100003538}
}RIS
TY - JOUR TI - Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection AU - Anis Bouaziz AU - Manh-Dung Nguyen AU - Valeria Valdés AU - Ana Cavalli AU - Wissam Mallouli PY - 2023 JO - Proceedings of the 18th International Conference on Software Technologies DO - 10.5220/0012125100003538 UR - https://doi.org/10.5220/0012125100003538 ER -
APA
Bouaziz, A., Nguyen, M., Valdés, V., Cavalli, A., & Mallouli, W. (2023). Study on Adversarial Attacks Techniques, Learning Methods and Countermeasures: Application to Anomaly Detection. Proceedings of the 18th International Conference on Software Technologies. https://doi.org/10.5220/0012125100003538
Source records
- crossref · retrieved 2026-09-26T06:27:56.398Z