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Leaky Students: Membership Inference against On-Policy Distillation

Lu, Zhexi et al.
arXiv (All) · Papers
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cryptography-and-securitymachine-learning
On-policy distillation (OPD) trains a student to match a teacher's next-token distributions on student-generated trajectories. However, privileged information supplied to the teacher for OPD training may contain sensitive data. Whether the student leaks private information about the records supplied
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