188 citations · 188 across the 2 of their papers we have counts for
7 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…
LeakyPick: IoT Audio Spy Detector
Richard Mitev, Anna Pazii, Markus Miettinen +2
Manufacturers of smart home Internet of Things (IoT) devices are increasingly adding voice assistant and audio monitoring features to a wide range of devices including smart speake…
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/…
Baseline functionality for security and control of commodity IoT devices and domain-controlled device lifecycle management
Markus Miettinen, Paul C. van Oorschot, Ahmad-Reza Sadeghi
The emerging Internet of Things (IoT) drastically increases the number of connected devices in homes, workplaces and smart city infrastructures. This drives a need for means to not…
Peek-a-Boo: I see your smart home activities, even encrypted!
Abbas Acar, Hossein Fereidooni, Tigist Abera +6
A myriad of IoT devices such as bulbs, switches, speakers in a smart home environment allow users to easily control the physical world around them and facilitate their living style…
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…