2 citations · 4 across the 7 of their papers we have counts for
4 papers · 1 filter
Nosy Layers, Noisy Fixes: Tackling DRAs in Federated Learning Systems using Explainable AI
Meghali Nandi, Arash Shaghaghi, Nazatul Haque Sultan +3
Federated Learning (FL) has emerged as a powerful paradigm for collaborative model training while keeping client data decentralized and private. However, it is vulnerable to Data R…
Predicting IoT Device Vulnerability Fix Times with Survival and Failure Time Models
Carlos A Rivera A, Xinzhang Chen, Arash Shaghaghi +2
The rapid integration of Internet of Things (IoT) devices into enterprise environments presents significant security challenges. Many IoT devices are released to the market with mi…
Towards Weaknesses and Attack Patterns Prediction for IoT Devices
Carlos A. Rivera A., Arash Shaghaghi, Gustavo Batista +1
As the adoption of Internet of Things (IoT) devices continues to rise in enterprise environments, the need for effective and efficient security measures becomes increasingly critic…
Towards Detecting IoT Event Spoofing Attacks Using Time-Series Classification
Uzma Maroof, Gustavo Batista, Arash Shaghaghi +1
Internet of Things (IoT) devices have grown in popularity since they can directly interact with the real world. Home automation systems automate these interactions. IoT events are…