Privacy preserving document analysis
AssigneeAdobe Inc.
InventorsNikolaos Barmpalios, Ruchi Rajiv Deshpande, Randy Lee Swineford, Nargol Rezvani, Andrew Marc Greene, Shawn Alan Gaither, Michael Kraley
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AssigneeAdobe Inc.
InventorsNikolaos Barmpalios, Ruchi Rajiv Deshpande, Randy Lee Swineford, Nargol Rezvani, Andrew Marc Greene, Shawn Alan Gaither, Michael Kraley
Estimating the term…
Systems and techniques for privacy preserving document analysis are described that derive insights pertaining to a digital document without communication of the content of the digital document. To do so, the privacy preserving document analysis techniques described herein capture visual or contextual features of the digital document and creates a stamp representation that represents these features without included the content of the digital document. The stamp representation is projected into a stamp embedding space based on a stamp encoding model generated through machine learning techniques capturing feature patterns and interaction in the stamp representations. The stamp encoding model exploits these feature interactions to define similarity of source documents based on location within the stamp embedding space. Accordingly, the techniques described herein can determine a similarity of documents without having access to the documents themselves.
In a digital medium environment for privacy preserving document analysis, a method implemented by at least one computing device, the method comprising:
A system comprising:
One or more computer-readable storage media having stored instructions that are executable to perform operations comprising:
Dependencies are inferred from the claim text.