| 2023 | INISTA | Pre-Trained Deep Convolutional Neural Network Architectures for Breast Cancer Diagnosis in Mammography: Current State-Of-The-Art. | Marwa Ben Ammar, Faten Labbene Ayachi, Riadh Ksantini, Halima Mahjoubi |
| 2021 | ENASE | Attacks Scenarios in a Correlated Anomalies Context: Case of Medical System Database Application. | Pierrette Annie Evina, Faouzi Jadi, Faten Labbene Ayachi, Adel Bouhoula |
| 2020 | IWCMC | Enforcing Risk-Awareness in Access Control Systems: Synthesis, Discussion and Guidelines. | Pierrette Annie Evina, Faouzi Jadi, Faten Labbene Ayachi, Adel Bouhoula |
| 2019 | IWCMC | Enforcing a Risk Assessment Approach in Access Control Policies Management: Analysis, Correlation Study and Model Enhancement. | Pierrette Annie Evina, Faten Labbene Ayachi, Faouzi Jadi, Adel Bouhoula |
| 2018 | ENASE | Anomalies Correlation for Risk-Aware Access Control Enhancement. | Pierrette Annie Evina, Faten Labbene Ayachi, Faouzi Jadi, Adel Bouhoula |
| 2017 | FedCSIS | Risk Management in Access Control Policies. | Pierrette Annie Evina, Faten Labbene Ayachi, Faouzi Jadi |
| 2015 | SECRYPT | A Risk Awareness Approach for Monitoring the Compliance of RBAC-based Policies. | Faouzi Jadi, Faten Labbene Ayachi |
| 2010 | DBSEC | An Access Control Model for Web Databases. | Ahlem Bouchahda-Ben Tekaya, Nhan Le Thanh, Adel Bouhoula, Faten Labbene Ayachi |