Official code for the INFOCOM 2020 paper "Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks."
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Updated
Jun 16, 2021 - Python
Official code for the INFOCOM 2020 paper "Guardian: Evaluating Trust in Online Social Networks with Graph Convolutional Networks."
Bayesian trust evaluations in large networks. Made for CSE3009.
CoTrRank: Trust Evaluation of Users and Tweets (IJCAI 2019 DEMO)
Rubric-based trust evaluator for bio/medical AI repositories with dual-path evidence, governance overlay, and institutional audit outputs.
XPLIA - State-of-the-art AI explainability library (2025). Features multimodal explainability, fairwashing detection, uncertainty quantification, and regulatory compliance tools for trustworthy AI systems.
Project Logos is a synthetic information ecosystem for evaluating retrieval, graph traversal, source attribution, trust ranking, and multi-hop reasoning systems.
Logos-SIE (Synthetic Information Ecosystem) is a large-scale synthetic benchmark designed to model the complete lifecycle of information formation within a simulated world.
Zero-trust security domain repository delivering modular identity, policy decision, enforcement, continuous trust evaluation, and audit components — designed to implement explicit verification and least-privilege access across distributed systems.
Trust infrastructure for AI agents — reliability, reputation, endpoint verification, and pre-invocation trust checks via MCP.
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