FEAT: Adversarial Benchmark Scenario#1662
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Description
Adds a benchmarking scenario (
AdversarialBenchmark) to PyRIT to compare the performance between adversarial targets. Measurement of success uses attack success rate (ASR). The benchmarking scenario is unique in that it takes models as a runtime argument, so we override_get_atomic_attacks_asyncto patch in live adversarial targets while using theAttackTechniqueRegistryto buildAdversarialBenchmarkStrategy. The scenario takeslist[PromptTarget]in its constructor.Includes minor changes to
SCENARIO_TECHNIQUES(including adding another attack technique) and a small change totest_rapid_response.pybecause of said change. Also adds alightaggregate for faster attacks that are benchmark friendly.Also includes limited parameter support from #1680.
Tests and Documentation
Added
tests/unit/scenario/test_benchmark.py.Updated
tests/unit/scenario/test_rapid_response.py.