Research
The theoretical topics I explore
During my PhD, I have mainly worked on anomaly detection and unimodality testing, with some applications in cyber-security.
Anomaly detection in streams with extreme value theory
Siffer, A., Fouque, P. A., Termier, A., & Largouet, C. (2017, August). Anomaly detection in streams with extreme value theory. In Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (pp. 1067-1075). ACM
Siffer, A., Fouque, P. A., Termier, A., & Largouët, C. (2018, July). Are your data gathered?. In Proceedings of the 24th acm sigkdd international conference on knowledge discovery & data mining (pp. 2210-2218).
Netspot: A simple Intrusion Detection System with statistical learning
Siffer, A., Fouque, P. A., Termier, A., & Largouet, C. (2020, December). Netspot: A simple Intrusion Detection System with statistical learning. In 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom) (pp. 911-918). IEEE.
New statistical methods for data mining, contributions to anomaly detection and unimodality testing
Siffer, A. (2019). New statistical methods for data mining, contributions to anomaly detection and unimodality testing (Doctoral dissertation, Rennes 1).