48 citations · 85 across the 8 of their papers we have counts for
8 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…
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…
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…
CUIfy the XR: An Open-Source Package to Embed LLM-powered Conversational Agents in XR
Kadir Burak Buldu, Süleyman Özdel, Ka Hei Carrie Lau +6
Recent developments in computer graphics, machine learning, and sensor technologies enable numerous opportunities for extended reality (XR) setups for everyday life, from skills tr…
Embedding Large Language Models into Extended Reality: Opportunities and Challenges for Inclusion, Engagement, and Privacy
Efe Bozkir, Süleyman Özdel, Ka Hei Carrie Lau +3
Advances in artificial intelligence and human-computer interaction will likely lead to extended reality (XR) becoming pervasive. While XR can provide users with interactive, engagi…
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…
Eye-tracked Virtual Reality: A Comprehensive Survey on Methods and Privacy Challenges
Efe Bozkir, Süleyman Özdel, 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…