4 citations · 4 across the 4 of their papers we have counts for
4 papers
Quantifying Catastrophic Forgetting in IoT Intrusion Detection Systems
Sourasekhar Banerjee, David Bergqvist, Salman Toor +2
Distribution shifts in attack patterns within RPL-based IoT networks pose a critical threat to the reliability and security of large-scale connected systems. Intrusion Detection Sy…
Bayesian Robust Aggregation for Federated Learning
Aleksandr Karakulev, Usama Zafar, Salman Toor +1
Federated Learning enables collaborative training of machine learning models on decentralized data. This scheme, however, is vulnerable to adversarial attacks, when some of the cli…
Byzantine-Robust Federated Learning Using Generative Adversarial Networks
Usama Zafar, André M. H. Teixeira, Salman Toor
Federated learning (FL) enables collaborative model training across distributed clients without sharing raw data, but its robustness is threatened by Byzantine behaviors such as da…
FedBot: Enhancing Privacy in Chatbots with Federated Learning
Addi Ait-Mlouk, Sadi Alawadi, Salman Toor +1
Chatbots are mainly data-driven and usually based on utterances that might be sensitive. However, training deep learning models on shared data can violate user privacy. Such issues…