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Cosine Model Watermarking against Ensemble...
Conference

Cosine Model Watermarking against Ensemble Distillation

Abstract

Many model watermarking methods have been developed to prevent valuable deployed commercial models from being stealthily stolen by model distillations. However, watermarks produced by most existing model watermarking methods can be easily evaded by ensemble distillation, because averaging the outputs of multiple ensembled models can significantly reduce or even erase the watermarks. In this paper, we focus on tackling the challenging task of …

Authors

Charette L; Chu L; Chen Y; Pei J; Wang L; Zhang Y

Volume

36

Pagination

pp. 9512-9520

Publisher

Association for the Advancement of Artificial Intelligence (AAAI)

DOI

10.1609/aaai.v36i9.21184

Conference proceedings

Proceedings of the AAAI Conference on Artificial Intelligence

Issue

9

ISSN

2159-5399