7 papers
Safeguarding Privacy: Privacy-Preserving Detection of Mind Wandering and Disengagement Using Federated Learning in Online Education
Anna Bodonhelyi, Mengdi Wang, Efe Bozkir +2
Since the COVID-19 pandemic, online courses have expanded access to education, yet the absence of direct instructor support challenges learners' ability to self-regulate attention…
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Efe Bozkir, Süleyman Ãzdel, Mengdi Wang +5
The latest developments in computer hardware, sensor technologies, and artificial intelligence can make virtual reality (VR) and virtual spaces an important part of human everyday…
CycleSL: Server-Client Cyclical Update Driven Scalable Split Learning
Mengdi Wang, Efe Bozkir, Enkelejda Kasneci
Split learning emerges as a promising paradigm for collaborative distributed model training, akin to federated learning, by partitioning neural networks between clients and a serve…
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
Mengdi Wang, Anna Bodonhelyi, Efe Bozkir +1
Federated learning is a distributed collaborative machine learning paradigm that has gained strong momentum in recent years. In federated learning, a central server periodically co…
Trade-offs in Privacy-Preserving Eye Tracking through Iris Obfuscation: A Benchmarking Study
Mengdi Wang, Efe Bozkir, Enkelejda Kasneci
Recent developments in hardware, computer graphics, and AI may soon enable AR/VR head-mounted displays (HMDs) to become everyday devices like smartphones and tablets. Eye trackers…
Iris Style Transfer: Enhancing Iris Recognition with Style Features and Privacy Preservation through Neural Style Transfer
Mengdi Wang, Efe Bozkir, Enkelejda Kasneci
Iris texture is widely regarded as a gold standard biometric modality for authentication and identification. The demand for robust iris recognition methods, coupled with growing se…