arXiv cs.LG
· Papers
ADS-C: Antidistillation Sampling for Classification
arXiv:2607.15467v1 Announce Type: new Abstract: Knowledge distillation enables an adversary to replicate a proprietary classifier by querying its prediction interface and training a surrogate on the returned probability vectors. Antidistillation sampling, proposed for large language models, counters this threat with an