2026
Steerable Adversarial Scenario Generation through Test-Time Preference Alignment
ICLR 2026poster
Adversarial scenario generation is a cost-effective approach for safety assessment of autonomous driving systems. However, existing methods are often constrained to a single, fixed trade-off between competing objectives such as adversariality and realism. This yields behavior-specific models that c…