5 papers
TrustChain: A Blockchain Framework for Auditing and Verifying Aggregators in Decentralized Federated Learning
Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif
The server-less nature of Decentralized Federated Learning (DFL) requires allocating the aggregation role to specific participants in each federated round. Current DFL architecture…
Towards Sample-Efficiency and Generalization of Transfer and Inverse Reinforcement Learning: A Comprehensive Literature Review
Hossein Hassani, Ehsan Hallaji, Roozbeh Razavi-Far +2
Reinforcement learning (RL) is a sub-domain of machine learning, mainly concerned with solving sequential decision-making problems by a learning agent that interacts with the decis…
A Study on Semi-Supervised Detection of DDoS Attacks under Class Imbalance
Ehsan Hallaji, Vaishnavi Shanmugam, Roozbeh Razavi-Far +1
One of the most difficult challenges in cybersecurity is eliminating Distributed Denial of Service (DDoS) attacks. Automating this task using artificial intelligence is a complex p…
FedNIA: Noise-Induced Activation Analysis for Mitigating Data Poisoning in FL
Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif
Federated learning systems are increasingly threatened by data poisoning attacks, where malicious clients compromise global models by contributing tampered updates. Existing defens…
A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
Ehsan Hallaji, Roozbeh Razavi-Far, Mehrdad Saif
Advanced Persistent Threats (APTs) pose a significant security risk to organizations and industries. These attacks often lead to severe data breaches and compromise the system for…