RedAct: Redacting Agent Capability Traces for Procedural Skill Protection
Users rely on execution traces to observe agent behavior, diagnose failures, and ensure accountability. These traces contain rich procedural detail, including tool invocations, intermediate decisions, and error-recovery logic. Yet this detail can expose private procedural skills, allowing downstream methods to recover key formulas, thresholds, and strategies without access to model weights or skill files. To quantify this risk and evaluate protection, we construct CapTraceBench, a benchmark of 75 specialized long-horizon tasks and 154 curated skills across seven domains. We also introduce RedAct, a protected trace release framework that localizes protected key information, rewrites traces...
| Authors | Shuwen Xu, Zhitao He, Yi R. Fung |
|---|---|
| Primary category | cs.CR |
| Published | 9 June 2026 |
| Last updated at source | 12 June 2026 |
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