3 citations · 5 across the 6 of their papers we have counts for
6 papers
CryptoQA: A Large-scale Question-answering Dataset for AI-assisted Cryptography
Mayar Elfares, Pascal Reisert, Tilman Dietz +4
Large language models (LLMs) excel at many general-purpose natural language processing tasks. However, their ability to perform deep reasoning and mathematical analysis, particular…
Gaze3P: Gaze-Based Prediction of User-Perceived Privacy
Mayar Elfares, Pascal Reisert, Ralf Küsters +1
Privacy is a highly subjective concept and perceived variably by different individuals. Previous research on quantifying user-perceived privacy has primarily relied on questionnair…
Guidelines for Gaze-based Neural Preliminary Diagnosis
Mayar Elfares, Salma Younis, Pascal Reisert +3
Neural disorders refer to any condition affecting the nervous system and that influence how individuals perceive and interact with the world. Traditional neural diagnoses rely on c…
QualitEye: Public and Privacy-preserving Gaze Data Quality Verification
Mayar Elfares, Pascal Reisert, Ralf Küsters +1
Gaze-based applications are increasingly advancing with the availability of large datasets but ensuring data quality presents a substantial challenge when collecting data at scale.…
PrivatEyes: Appearance-based Gaze Estimation Using Federated Secure Multi-Party Computation
Mayar Elfares, Pascal Reisert, Zhiming Hu +3
Latest gaze estimation methods require large-scale training data but their collection and exchange pose significant privacy risks. We propose PrivatEyes - the first privacy-enhanci…
Federated Learning for Appearance-based Gaze Estimation in the Wild
Mayar Elfares, Zhiming Hu, Pascal Reisert +2
Gaze estimation methods have significantly matured in recent years, but the large number of eye images required to train deep learning models poses significant privacy risks. In ad…