Interactive Resume · Trajectory View

Dallas David Elleman.

Cyber PhD student · AI Security & Alignment
Abstract
ATLAS: Agentic Trajectory Learning for Alignment and Security

Detects behavioral misalignment in AI agents at the trajectory level rather than the language level: instead of inspecting what an agent says, ATLAS inspects the sequence of actions it takes, encoded under the 6A Trace Schema — a semantic layer above OpenTelemetry with provenance markers separating declared from behavior-inferred intent. A 7–14B LLM backbone pretrained on 6A-encoded trajectory corpora, with fine-tuned detection heads, scores deviation in real time, attributes the decisive step, and forecasts failure before it lands. The view below renders Dallas's career as one such trajectory — actions tagged under the 5A ontology that 6A grew out of, scrubbable by year, filterable by ambit.

ADVISOR · John Hale (Chair)  ·  COMMITTEE · Tyler Moore · Brett McKinney · Roger Wainwright