122 citations · 343 across the 17 of their papers we have counts for
19 papers
TruthTensor: Evaluating LLMs through Human Imitation on Prediction Market under Drift and Holistic Reasoning
Shirin Shahabi, Spencer Graham, Haruna Isah
Evaluating language models and AI agents remains fundamentally challenging because static benchmarks fail to capture real-world uncertainty, distribution shift, and the gap between…
JSTprove: Pioneering Verifiable AI for a Trustless Future
Jonathan Gold, Tristan Freiberg, Haruna Isah +1
The integration of machine learning (ML) systems into critical industries such as healthcare, finance, and cybersecurity has transformed decision-making processes, but it also brin…
DSperse: A Framework for Targeted Verification in Zero-Knowledge Machine Learning
Dan Ivanov, Tristan Freiberg, Shirin Shahabi +2
DSperse is a modular framework for distributed machine learning inference with strategic cryptographic verification. Operating within the emerging paradigm of distributed zero-know…
Anomaly Detection in Emails using Machine Learning and Header Information
Craig Beaman, Haruna Isah
Anomalies in emails such as phishing and spam present major security risks such as the loss of privacy, money, and brand reputation to both individuals and organizations. Previous…
Incremental Community Detection in Distributed Dynamic Graph
Tariq Abughofa, Ahmed A. Harby, Haruna Isah +1
Community detection is an important research topic in graph analytics that has a wide range of applications. A variety of static community detection algorithms and quality metrics…
A Big Data Lake for Multilevel Streaming Analytics
Ruoran Liu, Haruna Isah, Farhana Zulkernine
Large organizations are seeking to create new architectures and scalable platforms to effectively handle data management challenges due to the explosive nature of data rarely seen…