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Sae-Hwan Park

2 accepted papers

2025

Disentangling misreporting from genuine adaptation in strategic settings: a causal approach

NeurIPS 2025poster

In settings where ML models are used to inform the allocation of resources, agents affected by the allocation decisions might have an incentive to strategically change their features to secure better outcomes. While prior work has studied strategic responses broadly, disentangling misreporting from…

Cited by 0SourceScholar
2024

Who’s Gaming the System? A Causally-Motivated Approach for Detecting Strategic Adaptation

NeurIPS 2024poster

In many settings, machine learning models may be used to inform decisions that impact individuals or entities who interact with the model. Such entities, or *agents,* may *game* model decisions by manipulating their inputs to the model to obtain better outcomes and maximize some utility. We consider…