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OP-Print: Tracing Membership Imprints in On-Policy Self-Distillation

Paper recorded by Signals 4 on 2026-10-22 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-10-22 on arXiv · recorded by Signals 4 on 2026-10-23

Category: cs.LG · 机器学习 · first seen 2026-10-23

Abstract

On-policy distillation has been widely adopted for alleviating the distribution mismatch of off-policy distillation. Self-distillation further removes the need for an external teacher by using the student's own outputs, enhanced with extra context or demonstrations, as supervision. This teacher-free design makes on-policy self-distillation practical, yet its privacy risks remain largely unexplored

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#197 most recent of 749 cs.LG papers we have recorded · ↑ newer: BeNice! Closing Looping's Inference-Memory Gap via KV-Sharing · ↓ older: Efficient and Optimal Learning of Discrete Distributions with Person-L
Cite this page: OP-Print: Tracing Membership Imprints in On-Policy Self-Distillation: the #197 most recent of 749 cs.LG papers we have recorded (as of 2026-10-22). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/op-print-tracing-membership-imprints-in-on-policy-self-distillation.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json
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