Evidence record
chat-bison@001
Tensor Trust · Evidence record
Original source charts and materials
Recorded measurements
- Defense validity
- 89.5%
Not disclosed
Harness not specified · Budget not specified
Method and scope
How robust are instruction-following models against human-created prompt extraction and hijacking?
- Evidence type
- Benchmark
- Assessment subject
- An online game supplies human attack/defense interactions; filtered subsets become separate extraction and hijacking benchmarks with explicit defense-validity checks.
- Primary dimension
- Behavior
- Evidence snapshot
- 2026-10-29.1
Adversarial filtering and reference-model selection shape the test population. Game success uses a narrow string criterion; it is not equivalent to real application compromise.
Source finding
The study finds that apparently simple authorization instructions remain vulnerable and reports selected transfer demonstrations beyond the game.
Limitations
Adversarial filtering and reference-model selection shape the test population. Game success uses a narrow string criterion; it is not equivalent to real application compromise.
Adversarial filtering and reference-model selection shape the test population. Game success uses a narrow string criterion; it is not equivalent to real application compromise.
Related research questions
References
Numerical results are reported by the cited authors.
- [1] Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game. 2023-11-02 ; #A3.T2; row chat-bison@001; column Defense validity; condition Extraction