PublicCheck: Public Integrity Verification for Services of Run-time Deep Models

Author:

Wang Shuo1,Abuadbba Sharif1,Agarwal Sidharth2,Moore Kristen1,Sun Ruoxi1,Xue Minhui1,Nepal Surya1,Camtepe Seyit1,Kanhere Salil3

Affiliation:

1. CSIRO’s Data61,Australia

2. Indian Institute of Technology,Delhi,India

3. University of New South Wales,Australia

Funder

Australian Government

Publisher

IEEE

Reference32 articles.

1. Deep neural network fingerprinting by conferrable adversarial examples;lukas;International Conference on Learning Representations,2021

2. Adversarial frontier stitching for remote neural network watermarking

3. Disentangling by factorising;kim;International Conference on Machine Learning,2018

4. Robust hash functions for digital watermarking

5. Badnets: Identifying vulnerabilities in the machine learning model supply chain;gu,2017

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1. CORELOCKER: Neuron-level Usage Control;2024 IEEE Symposium on Security and Privacy (SP);2024-05-19

2. Public Integrity Verification for Run-time Model in Batches without a Local Server;2024 9th International Conference on Electronic Technology and Information Science (ICETIS);2024-05-17

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