View source for Apple inc. (20250016131). DIFFERENTIAL PRIVACY FOR MESSAGE TEXT CONTENT MINING

=DIFFERENTIAL PRIVACY FOR MESSAGE TEXT CONTENT MINING=


==Organization Name==

[[:Category:apple inc.|apple inc.]]


[[Category:apple inc.]]

==Inventor(s)==

[[:Category:Eric D. Friedman of Berkeley CA US|Eric D. Friedman of Berkeley CA US]][[Category:Eric D. Friedman of Berkeley CA US]]

[[:Category:Ritwik K. Kumar of San Jose CA US|Ritwik K. Kumar of San Jose CA US]][[Category:Ritwik K. Kumar of San Jose CA US]]

[[:Category:Lucas Winstrom of Mountain View CA US|Lucas Winstrom of Mountain View CA US]][[Category:Lucas Winstrom of Mountain View CA US]]

==DIFFERENTIAL PRIVACY FOR MESSAGE TEXT CONTENT MINING==


This abstract first appeared for US patent application 20250016131 titled 'DIFFERENTIAL PRIVACY FOR MESSAGE TEXT CONTENT MINING

==Original Abstract Submitted==

systems and methods are disclosed for determining whether a message received by a client may be spam, in a computing environment that preserves privacy. the message may be encrypted. a client invokes the methods when a message is received from a sender that is not known to the client. a client can decrypt the message, break the message into chunks, and apply a differentially private algorithm to the set of chunks. the client transmits the differentially private message sketches to an aggregation server. the aggregation server receives a large collection of such message sketches for a large plurality of clients. the aggregation server returns aggregated message chunk (e.g. frequency) information to the client to assist the client in determining whether the message may be spam. the client can process the message based on the determination without disclosing the message content to the server.



[[Category:H04L51/23]]
[[Category:G06F16/35]]
[[Category:G06F21/62]]
[[Category:G06F40/289]]
[[Category:G06Q10/107]]
[[Category:H04L51/212]]
[[Category:CPC_H04L51/23]]