102 citations · 107 across the 4 of their papers we have counts for
4 papers
Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models
Kapil Wanaskar, Gaytri Jena, Magdalini Eirinaki
This work presents an open-source unified benchmarking and evaluation framework for text-to-image generation models, with a particular focus on the impact of metadata augmented pro…
Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
Derek Lilienthal, Paul Mello, Magdalini Eirinaki +1
While recommender systems have become an integral component of the Web experience, their heavy reliance on user data raises privacy and security concerns. Substituting user data wi…
Blockchain-based Recommender Systems: Applications, Challenges and Future Opportunities
Yassine Himeur, Aya Sayed, Abdullah Alsalemi +6
Recommender systems have been widely used in different application domains including energy-preservation, e-commerce, healthcare, social media, etc. Such applications require the a…
Negative Database for Data Security
Anup Patel, Niveeta Sharma, Magdalini Eirinaki
Data Security is a major issue in any web-based application. There have been approaches to handle intruders in any system, however, these approaches are not fully trustable; eviden…