Abstract
User privacy is an important issue in the cloud machine learning service. In this paper, we raise a new threat about the online machine learning service, which comes from outside superior authority. The authority may ask the user and the cloud to disclose secrets and the authority can monitor the user behavior. We propose a protection approach called learnable encryption with deniability (LED), which can convince the outsider of the fake data and can protect the user privacy.
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Notes
- 1.
Our implementation is based on Learnable Image Encryption work without deniability feature.
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Lin, ZW., Liu, TH., Chi, PW. (2022). LED: Learnable Encryption with Deniability. In: Hsieh, SY., Hung, LJ., Klasing, R., Lee, CW., Peng, SL. (eds) New Trends in Computer Technologies and Applications. ICS 2022. Communications in Computer and Information Science, vol 1723. Springer, Singapore. https://doi.org/10.1007/978-981-19-9582-8_57
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