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MaskIt: Privately Releasing User Context Streams for Personalized Mobile Applications

Summary: MaskIt filters context streams to privately preserve user privacy while enabling personalized apps. Two novel privacy checks decide release vs suppression under adversaries with system knowledge; validated on 91 real traces. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
4531
Venue
SIGMOD
Year
2012
Pagerank
6.5502886e-05
Overall Rank
3,996 | 72.21%
DOI
-

Incoming Non-self Citations Over Time

Authors

Incoming Citations (Sorted by Pagerank)

Showing 2 of 2 citing papers.

Rank Citing Paper Year Venue Pagerank
11,809 LocLok: Location Cloaking with Differential Privacy via Hidden Markov Model 2017 VLDB 4.1945683e-05
12,054 Utility-Maximizing Event Stream Suppression 2013 SIGMOD 4.1945683e-05
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Outgoing Citations (Sorted by Pagerank)

Showing 6 of 6 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
509 On Active Learning of Record Matching Packages 2010 SIGMOD 0.00021409518
1,382 Minimality Attack in Privacy Preserving Data Publishing 2007 VLDB 0.00012281313
2,406 Attacks on Privacy and deFinetti's Theorem 2009 SIGMOD 8.8811954e-05
3,139 Private Queries in Location Based Services: Anonymizers are not Necessary 2008 SIGMOD 7.487098e-05
3,258 Towards Robustness in Query Auditing 2006 VLDB 7.3150323e-05
6,675 On the Complexity of Privacy-Preserving Complex Event Processing 2011 PODS 4.9660198e-05
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