8 citations · 9 across the 2 of their papers we have counts for
5 papers
Privacy-Preserving Object Detection & Localization Using Distributed Machine Learning: A Case Study of Infant Eyeblink Conditioning
Stefan Zwaard, Henk-Jan Boele, Hani Alers +3
Distributed machine learning is becoming a popular model-training method due to privacy, computational scalability, and bandwidth capacities. In this work, we explore scalable dist…
Real-Time Face and Landmark Localization for Eyeblink Detection
Paul Bakker, Henk-Jan Boele, Zaid Al-Ars +1
Pavlovian eyeblink conditioning is a powerful experiment used in the field of neuroscience to measure multiple aspects of how we learn in our daily life. To track the movement of t…
IMDfence: Architecting a Secure Protocol for Implantable Medical Devices
Muhammad Ali Siddiqi, Christian Doerr, Christos Strydis
Over the past decade, focus on the security and privacy aspects of implantable medical devices (IMDs) has intensified, driven by the multitude of cybersecurity vulnerabilities foun…
Towards Realistic Battery-DoS Protection of Implantable Medical Devices
Muhammad Ali Siddiqi, Christos Strydis
Modern Implantable Medical Devices (IMDs) feature wireless connectivity, which makes them vulnerable to security attacks. Particular to IMDs is the battery Denial-of-Service attack…
IMD Security vs. Energy: Are We Tilting at Windmills?: POSTER
Muhammad Ali Siddiqi, Christos Strydis
Implantable Medical Devices (IMDs) such as pacemakers and neurostimulators are highly constrained in terms of energy. In addition, the wireless-communication facilities of these de…