Exciting News from the Laboratory of Data Science and Analytics (LDSA), Department of Computer Science, Faculty of Mathematics and Computer Science!!! Congratulations to PhD student Asimul Haque and his supervisor Prof. Muhammad Abulaish on receiving the Best Paper Award at the Machine Intelligence in Networked Data and Systems (MINDS) workshop at the 17th International Conference on Communication Systems & Networks (COMSNETS'25), Bengaluru, India, for their research work titled "Unmasking Rumors on Social Media by Combining Affective Patterns Flow with User Behaviors"!!! COMSNETS is a 17-year-old premier international conference committed to bringing together world-class researchers from academia and industry, practitioners, and business executives to debate cutting-edge research and future possibilities for new innovative ideas and businesses. Their research work focuses on utilizing the underlying semantic and emotional information flow on social media and integrating it with psychological elements, temporal diffusion data, and user behaviours. It collects knowledge from social media content and user interactions, including engagements and diffusion structures, to improve understanding of how information spreads and influences social behavior. #SAU #ProfMuhammadAbulaish #LDSA #DCS #FMC #AsimulHaque #MINDS #17thInternationalConferenceon #CommunicationSystems&Networks #COMSNETS25 #Bengaluru

Our research team presented the paper "Optimal Tree-Based Mechanisms for Differentially Private Approximate CDFs" at #COMSNETS25 - CSP Workshop! 🚀 Authored by Arvind Rameshwar, Anshoo Tandon & Abhay Sharma, This paper introduces mechanisms for releasing quantized versions of the Cumulative Distribution Function (CDF) of datasets while ensuring differential privacy. The proposed algorithms are designed to achieve the lowest error among a broad class of mechanisms, marking a significant step in privacy-preserving data analytics. Read more: 🔗 arxiv.org/abs/2409.18573 #DifferentialPrivacy #PrivacyTech #CyberSecurity