Camera attribution
Evaluate sensor-pattern methods, reference quality, reliability masks, and same-camera decision thresholds.
Research
Advance camera attribution, multimodal authenticity, decision traceability, and evidence-centered human–AI collaboration.
Each program is evaluated for validity, operational fit, explainability, and rights impact.
Authenticity as evidence
Study how provenance, metadata, signal processing, and model indicators should corroborate—or contradict—one another.
Human–AI decision systems
Design interfaces where source, inference, uncertainty, authority, and correction remain visible throughout the case.
Research descriptions are not performance claims. Public benchmarks, methods, and release conditions must accompany operational assertions.
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