Deeping Source Inc.

Copyright 2020. Deeping source Inc. all rights reserved.

contact@deepingsource.io

14F, 312, Teheran-ro, Gangnam-gu, Seoul, 06211, Republic of Korea

Anonymizer protects privacy

Anonymizing data with private information, it makes them usable for ML models.

•  World's first patent in South Korea, US, filed PCT

•  Supports image, video, audio and text

•  Real-time processing possible via embedded system

•  Datasets continuously scaled up by anonymizing new data

•  Anonymizing model's accuracy corresponds to dataset scale

•  Once processed, data cannot be reverted to original

•  Can be used for new ML models as well as existing ones

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Obfuscator protects confidentiality

Obfuscating data with confidential

or sensitive information,

it prevents data leaks and makes them usable for ML models.

•  World's first patent in South Korea, US, filed PCT

•  Supports image, video, audio and text

•  Real-time processing possible via embedded system

•  Datasets continuously scaled up by anonymizing new data

•  Obfuscator model's accuracy correspondent to dataset scale

•  Once processed, data cannot be reverted to original

•  Can be used for new ML models as well as existing ones

Learn more >

Jammer protects data ownership

Jammer prevents illegal copy for ML training purposes

by jamming data.

•  Severe accuracy drop happens with jammed data

•  Once processed, data cannot be reverted to the original

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Watermarker protects data ownership

Watermarker puts watermarks into data to prevent illegal thefts

such as reselling.

•  Once processed, data cannot be reverted to the original

•  Can be used for training new ML models as well as existing ones

Learn more >