| Optimizing Leak Detection in Open-source Platforms with Machine Learning Techniques. S Lounici, M Rosa, CM Negri, S Trabelsi, M Önen ICISSP, 145-159, 2021 | 14 | 2021 |
| Yes we can: watermarking machine learning models beyond classification S Lounici, M Njeh, O Ermis, M Önen, S Trabelsi 2021 IEEE 34th Computer Security Foundations Symposium (CSF), 1-14, 2021 | 9 | 2021 |
| Blindspot: Watermarking through fairness S Lounici, M Önen, O Ermis, S Trabelsi Proceedings of the 2022 ACM Workshop on Information Hiding and Multimedia …, 2022 | 5 | 2022 |
| Preventing watermark forging attacks in a mlaas environment S Lounici, M Njeh, O Ermis, M Önen, S Trabelsi SECRYPT 2021, 18th International Conference on Security and Cryptography, 2021 | 2 | 2021 |
| Watermarking machine learning models S Lounici Sorbonne Université, 2022 | | 2022 |
| Low false positive token identification in source code repositories using machine learning S Trabelsi, S Lounici, M Rosa, CM Negri US Patent 11,481,501, 2022 | | 2022 |
