How secure is your data?
Infringement of ownership is the major ongoing issue that occurs in the process of data transaction. Security holes existing in the current data sharing environment are the major causes of the data breach incidents. In the entire flow of data, various participants are involved, such as providers, labelers, validators and consumers.
Two types of security holes
Data security holes appear in two different cases. First, data could be snatched in the processing phase, by some labelers and validators using them for own purposes without permission. Second, some purchasers may yield unfair profit by reselling data while seriously damaging the owner's copyright.

Jammer

Safeguard your data assets from illegal ML training

 

How Jammer protects data ownership

Train with your data 

exclusively

Jammer disables data to be used for training

AI models, ensuring data protection from misuses

before them being delivered to untrusted labelers

and validators. 

Jammer makes data untrainable for preview,

labeling, validation, etc. A significant accuracy

drop appears when training with jammed data.

As a result, Jammer makes it useless to train

an AI model with illegally copied ones. 

 

Watermarker

Protect your data ownership from illegal resales

How Watermarker protects data ownership

Display your ownership

through data

Watermarker embeds  watermarks displaying the ownership into data that is to be purchased by consumers, therefore making it worthless for illegal uses, such as reselling.

Watermarks are visible to human, but data can be used for ML models without causing any accuracy drop. Since the marks are hard-to-remove, data processed with Watermarker are protected from thefts while still usable for AI trainings. 

Deeping Source Inc.

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