Our Ph.D candidate, Sara, has been invited to talk at the SuperviZ workshop, on December 16th, 2024 in Rennes. She will be presenting her latest work on exploiting federated learning for network intrusion detection in heterogenous networks such as 5G or IoT.
For our last dissemination of the year, our Ph.D student, Shurok has secured a spotlight presentation at the 8th International Conference on Future Networks & Distributed Systems (ICFNDS) on December 11th, 2024.
IMT’s working group on Digital Trust is organizing a one-day seminar at Palaiseau on December 10th, 2024.
The second installment of ARTMAN, the workshop on Recent Advances in Resilient and Trustworthy MAchine learning-driveN systems is happening right now in Honolulu, Hawai.
Sara is joining the GRIFIN team for her last year in her Ph.D programme. Having been previously worked on Beyond5G project funded by the French Public Investment programme, her thesis deals with distributed, collaborative intrusion detection in 5G networks.
Another opportunity of dissemination for our Ph.D student, Solayman, who is bound to present his last accepted paper at the 19th International Conference on Risks and Security of Internet and Systems (CRiSIS 2024), which be held in Aix-en-Provence from November 26th. The paper, entitled FREIDA: A Concrete Tool for Reproducible Evaluation of IDS using a Data-driven Approach, presents the implementation of our FREIDA framework, which enables comprehensive assessments of ML-based IDS. The paper further exemplifies its applicability by evaluating IDS according to two aspects: their detection effectiveness, and robustness to adversarial attacks. Solayman will be presenting on the starting day of CRiSIS (see programme), so come and discuss!
Our two Ph.D students, Shurok and Solayman, are invited to present the results of their work in the GRIFIN project during the kickoff of TURFU-NET. The kickoff meeting will take place on November 22nd in Illkirch-Graffenstaden (see program). Shurok will present her reinforcement learning approach to mitigate DDoS attacks in a talk entitled DDoS Mitigation while Preserving QoS: A Deep Reinforcement Learning-Based Approach while Solayman will discuss the FREIDA framewok in a talk entitled Towards Reproducible Evaluations of ML-Based IDS Using Data-Driven Approaches. TURFU-NET (Transcending the Usual Rationale for the Future of Ubiquitous NETworks) is an ANR TSIA project, a call specific to Artificial Intelligence (AI) topics. Coordinated by Quentin Bramas, from the University of Strasbourg, it aims at redefining network management and optimization through the integration of cutting-edge neurosymbolic AI. The project partners come from research teams located at Strasbourg (iCube laboratory), Mulhouse (IRIMAS laboratory, Université de Haute-Alsace) and Paris (LIP6, Sorbonne University).
The second installment of ARTMAN, the workshop on Recent Advances in Resilient and Trustworthy MAchine learning-driveN systems is progressing towards completion. As a reminder, it will be held before ACSAC, in Hawai on December 9th, 2024. The program is now available online on both ACSAC’s and ARTMAN’s websites. The program features 4 technical sessions showcasing 10 selected papers on a variety of topics dealing with ML for cybersecurity, robustness, privacy and safety for ML systems, and attacks to ML algorithms. This year’s ARTMAN is highlighted by two outstanding keynotes: Melek Önen, professor at Eurecom, will be speaking in the morning about Customized attacks and defense strategies for robust and privacy-preserving federated learning; and Christian Wressnegger, assistant professor at Karlsruhe Institute of Technology, will intervene during the afternoon on the topic of Prospects and Limits of Explainable AI in Computer Security. Do not wait to register at ACSAC (do here, early ends after November 15th) and join us for this exciting workshop.
Solayman, our PhD candidate, will be presenting a demo on the FREIDA framework, and its current implementation during the poster/demo session at ACM CCS, happening right now in Salt Lake City, USA. The demo will feature a walk-through the different stages of the ML-IDS evaluation pipeline with a focus on the reproducibility on one hand, and data manipulation on the other hand. As demo booths are not fixed, please look out for Solayman’s during Poster and Reception on Wednesday 16th at 4:30pm in Salons G, H and I. The demo is entitled Towards Reproducible Evaluations of ML-Based IDS Using Data-Driven Approaches.
Solayman, our PhD candidate, will be presenting his work on the FREIDA framework, an ongoing effort on assisting researchers with a data-driven evaluation of ML-based intrusion detection systems. He is invited to talk in front of the SuperviZ project members for their plenary meeting in Nancy on September 27th. His work is of interest to SuperviZ’ working group 5 on IDS evaluation. The work will later be discussed among members of this working group. This work is also bound to be presented later next month at an international conference, which will be disclosed in a later post.