13 citations · 13 across the 5 of their papers we have counts for
5 papers
SynAE: A Framework for Measuring the Quality of Synthetic Data for Tool-Calling Agent Evaluations
Shuaiqi Wang, Aadyaa Maddi, Zinan Lin +1
Today, tool-calling agents are commonly evaluated or tested on static datasets of execution traces, including input commands, agent responses, and associated tool calls. However, i…
Generating Expressive and Customizable Evals for Timeseries Data Analysis Agents with AgentFuel
Aadyaa Maddi, Prakhar Naval, Deepti Mande +3
Across many domains (e.g., IoT, observability, telecommunications, cybersecurity), there is an emerging adoption of conversational data analysis agents that enable users to "talk t…
Privacy Requirements and Realities of Digital Public Goods
Geetika Gopi, Aadyaa Maddi, Omkhar Arasaratnam +1
In the international development community, the term "digital public goods" is used to describe open-source digital products (e.g., software, datasets) that aim to address the Unit…
Benchmarking Private Population Data Release Mechanisms: Synthetic Data vs. TopDown
Aadyaa Maddi, Swadhin Routray, Alexander Goldberg +1
Differential privacy (DP) is increasingly used to protect the release of hierarchical, tabular population data, such as census data. A common approach for implementing DP in this s…
Enhanced Membership Inference Attacks against Machine Learning Models
Jiayuan Ye, Aadyaa Maddi, Sasi Kumar Murakonda +2
How much does a machine learning algorithm leak about its training data, and why? Membership inference attacks are used as an auditing tool to quantify this leakage. In this paper,…