4 papers
Core-based Hierarchies for Efficient GraphRAG
Jakir Hossain, Ahmet Erdem Sarıyüce
Retrieval-Augmented Generation (RAG) enhances large language models by incorporating external knowledge. However, existing vector-based methods often fail on global sensemaking tas…
Better Call Graphs: A New Dataset of Function Call Graphs for Malware Classification
Jakir Hossain, Gurvinder Singh, Jue Guo +3
Function call graphs (FCGs) have emerged as a powerful abstraction for malware detection, capturing the behavioral structure of applications beyond surface-level signatures. Their…
Density-aware Walks for Coordinated Campaign Detection
Atul Anand Gopalakrishnan, Jakir Hossain, TuÄrulcan Elmas +1
Coordinated campaigns frequently exploit social media platforms by artificially amplifying topics, making inauthentic trends appear organic, and misleading users into engagement. D…
Large Engagement Networks for Classifying Coordinated Campaigns and Organic Twitter Trends
Atul Anand Gopalakrishnan, Jakir Hossain, Tugrulcan Elmas +1
Social media users and inauthentic accounts, such as bots, may coordinate in promoting their topics. Such topics may give the impression that they are organically popular among the…