2025
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
ICML 2025poster
Cautious predictions—where a machine learning model abstains when uncertain—are crucial for limiting harmful errors in safety-critical applications. In this work, we identify a novel threat: a dishonest institution can exploit these mechanisms to discriminate or unjustly deny services under the guis…