A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference-Reference-Cited by-同舟云学术

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A Generative Framework for Low-Cost Result Validation of Machine Learning-as-a-Service Inference

Published:2024-07 Issue: Volume:2022 Page:1246-1260
ISSN:
Container-title:Proceedings of the 19th ACM Asia Conference on Computer and Communications Security
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Author:

Kumar Abhinav¹^ORCID,Aguilera Miguel A. Guirao²^ORCID,Tourani Reza¹^ORCID,Misra Satyajayant³^ORCID

Affiliation:

1. Computer Science, Saint Louis University, Saint Louis, MO, United States

2. Computer Science, New Mexico State University, Las Cruces, NM, United States

3. Computer Science, New Mexico State University, Las Cruces, NM, USA

Funder

US National Science Foundation

US Department of Energy

Publisher

ACM

Reference79 articles.

1. Tiago Alves. 2004. Trustzone: Integrated hardware and software security. White paper (2004).

2. Mobile Trusted Computing

3. Hessam Bagherinezhad, Maxwell Horton, Mohammad Rastegari, and Ali Farhadi. 2018. Label refinery: Improving imagenet classification through label progression. arXiv preprint arXiv:1805.02641 (2018).

4. Learning from untrusted data

5. Xinyun Chen Chang Liu Bo Li Kimberly Lu and Dawn Song. 2017. Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning. arXiv:1712.05526 [cs.CR]

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