Category: Project
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LLM-PBE: Assessing Data Privacy in Large Language Models
A toolkit crafted specifically for the systematic evaluation of data privacy risks in LLMs, incorporating diverse attack and defense strategies, and handling various data types and metrics. SIGMOD 2024(Best paper nomination)
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VertiBench: Advancing Feature Distribution Diversity inVertical Federated Learning Benchmarks
A collection of datasets, tools, and examples for federated learning ICLR 2024 (Poster)
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Model Go: A Practical Tool for Machine Learning License Analysis
ModelGo is a a specialized parser designed for license analysis in Machine Learning Project. WWW 2024 (Oral)
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