6 papers
SynthGuard-ReleaseBench: Locked-Audit Evidence for Synthetic Tabular Data Releases
Jeffery Opoku, David Banahene
Synthetic tabular data are often judged by realism, privacy, or downstream-task scores. Those scores do not answer whether a proposed release is supported for a named use, populati…
Signed Evidence Flow: Conflict-Aware and Stability-Calibrated Data Analysis
Jeffery Opoku, David Banahene
Modern data analysis usually gives a prediction without showing whether the evidence behind it is clear, conflicting, or stable. Two cases can have the same fitted confidence even…
ToolChain-CRC: Conformal Risk Control for Agentic AI Under Retrieval and Tool-Use Drift
Jeffery Opoku, David Banahene
Modern AI agents retrieve documents, call tools, check intermediate information, and then produce a final answer or action. This creates a risk-control problem that is not visible…
PromptShift-CRC: Drift-Aware Conformal Risk Control for Foundation Models Under Prompt and Domain Shift
Jeffery Opoku, David Banahene
Foundation models are now used in settings where the prompts they receive can change quickly. Users change, topics change, policies change, and the model may suddenly face a kind o…
Drift-Aware Spectral Conformal Prediction for Non-Exchangeable Streaming Data
Jeffery Opoku, David Banahene
Conformal prediction provides distribution-free prediction intervals under exchangeability, but many modern data streams are neither independent nor stable. They exhibit recurring…
Spectral Adaptive Conformal Prediction for Structured Non-Exchangeable Data
Jeffery Opoku, David Banahene
Conformal prediction gives prediction intervals with finite-sample coverage when the data are exchangeable. Many time-indexed datasets are not exchangeable: they have seasons, recu…