81 citations · 109 across the 8 of their papers we have counts for
3 papers · 1 filter
Differential Privacy for Anomaly Detection: Analyzing the Trade-off Between Privacy and Explainability
Fatima Ezzeddine, Mirna Saad, Omran Ayoub +5
Anomaly detection (AD), also referred to as outlier detection, is a statistical process aimed at identifying observations within a dataset that significantly deviate from the expec…
Liquid Neural Network-based Adaptive Learning vs. Incremental Learning for Link Load Prediction amid Concept Drift due to Network Failures
Omran Ayoub, Davide Andreoletti, Aleksandra Knapińska +6
Adapting to concept drift is a challenging task in machine learning, which is usually tackled using incremental learning techniques that periodically re-fit a learning model levera…
Knowledge Distillation-Based Model Extraction Attack using GAN-based Private Counterfactual Explanations
Fatima Ezzeddine, Omran Ayoub, Silvia Giordano
In recent years, there has been a notable increase in the deployment of machine learning (ML) models as services (MLaaS) across diverse production software applications. In paralle…