At the next ROC seminar, we the presentations from two new ROCkers PhD students in the team.

When: January 17, 2025 at 2 pm.
Where: Amphi Friedman, 2 rue Conté, CNAM, Paris, France.


Speaker: Maham Kayani

Title:Enhancing Anomaly Detection: A Modified Approach to the Dinatrax Framework

Abstract:Dinatrax is a model for detecting anomalies in networks. We’re exploring new approaches within the Dinatrax framework to examine their potential impact and to discover even better results, aiming to further advance the field of network anomaly detection

Bio: I am Maham, a PhD student working in the field of network anomaly detection. Madame Selma is my thesis supervisor.


Speaker: Salah Bin Ruba

Title: Security Issues in Federated Learning for Anomaly Detection in xG

Abstract: Federated Learning (FL) has become a groundbreaking approach to distributed machine learning, enabling participants to collaboratively train models while maintaining data decentralization and privacy. Despite its inherent privacy advantages, FL faces significant security challenges that can threaten the integrity, confidentiality, and availability of the learning process. These challenges include data heterogeneity, communication bottlenecks, and various security threats, such as poisoning attacks, model inversion, and Byzantine behaviors, all of which can compromise model performance or expose sensitive information.

Bio: Salah Bin-Ruba is a PhD candidate at Cedric Lab, CNAM, Paris. Holds an M.Sc. in Data Science and Network intelligence from Telecom SudParis. He is currently working on Federated Learning security in 5G infrastructure.

ROC Seminar – January. 17, 2025
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