6 citations · 14 across the 3 of their papers we have counts for
3 papers
ARGUS: Context-Based Detection of Stealthy IoT Infiltration Attacks
Phillip Rieger, Marco Chilese, Reham Mohamed +3
IoT application domains, device diversity and connectivity are rapidly growing. IoT devices control various functions in smart homes and buildings, smart cities, and smart factorie…
AuthentiSense: A Scalable Behavioral Biometrics Authentication Scheme using Few-Shot Learning for Mobile Platforms
Hossein Fereidooni, Jan König, Phillip Rieger +5
Mobile applications are widely used for online services sharing a large amount of personal data online. One-time authentication techniques such as passwords and physiological biome…
BayBFed: Bayesian Backdoor Defense for Federated Learning
Kavita Kumari, Phillip Rieger, Hossein Fereidooni +2
Federated learning (FL) allows participants to jointly train a machine learning model without sharing their private data with others. However, FL is vulnerable to poisoning attacks…