188 citations · 188 across the 1 of their papers we have counts for
4 papers
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection
Phillip Rieger, Thien Duc Nguyen, Markus Miettinen +1
Federated Learning (FL) allows multiple clients to collaboratively train a Neural Network (NN) model on their private data without revealing the data. Recently, several targeted po…
Mind the GAP: Security & Privacy Risks of Contact Tracing Apps
Lars Baumgärtner, Alexandra Dmitrienko, Bernd Freisleben +14
Google and Apple have jointly provided an API for exposure notification in order to implement decentralized contract tracing apps using Bluetooth Low Energy, the so-called "Google/…
DÏoT: A Federated Self-learning Anomaly Detection System for IoT
Thien Duc Nguyen, Samuel Marchal, Markus Miettinen +3
IoT devices are increasingly deployed in daily life. Many of these devices are, however, vulnerable due to insecure design, implementation, and configuration. As a result, many net…
DoubleEcho: Mitigating Context-Manipulation Attacks in Copresence Verification
Hien Thi Thu Truong, Juhani Toivonen, Thien Duc Nguyen +3
Copresence verification based on context can improve usability and strengthen security of many authentication and access control systems. By sensing and comparing their surrounding…