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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/11552338_13openalex-snapshot
Protecting Privacy Against Location-Based Personal Identification
inferredcites →https://doi.org/10.1007/978-3-540-30231-5_8openalex-snapshot
Project Lachesis: Parsing and Modeling Location Histories
inferredcites →https://doi.org/10.1007/978-3-540-79228-4_1openalex-snapshot
Differential Privacy: A Survey of Results
inferredcites →https://doi.org/10.1007/978-3-642-03168-7_13openalex-snapshot
On the Optimal Placement of Mix Zones
inferredcites →https://doi.org/10.1007/978-3-642-03511-1_2openalex-snapshot
Location Privacy Techniques in Client-Server Architectures
inferredcites →https://doi.org/10.1007/s11390-014-1493-yopenalex-snapshot
Complete Bipartite Anonymity for Location Privacy
inferredcites →https://doi.org/10.1016/j.is.2010.05.003openalex-snapshot
Anonymization of moving objects databases by clustering and perturbation
inferredcites →https://doi.org/10.1016/j.pmcj.2011.09.004openalex-snapshot
Social fMRI: Investigating and shaping social mechanisms in the real world
inferredcites →https://doi.org/10.1109/icdcs.2005.48openalex-snapshot
Location Privacy in Mobile Systems: A Personalized Anonymization Model
inferredcites →https://doi.org/10.1109/icde.2006.1openalex-snapshot
L-diversity: privacy beyond k-anonymity
inferredcites →https://doi.org/10.1109/icde.2007.367856openalex-snapshot
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
inferredcites →https://doi.org/10.1109/icde.2011.5767898openalex-snapshot
MobiMix: Protecting location privacy with mix-zones over road networks
inferredcites →https://doi.org/10.1109/icde.2013.6544872openalex-snapshot
Differentially private grids for geospatial data
inferredcites →https://doi.org/10.1109/icpads.2010.127openalex-snapshot
Privacy Protection in Participatory Sensing Applications Requiring Fine-Grained Locations
inferredcites →https://doi.org/10.1109/infcom.2012.6195848openalex-snapshot
Traffic-aware multiple mix zone placement for protecting location privacy
inferredcites →https://doi.org/10.1109/percomw.2004.1276918openalex-snapshot
Mix zones: user privacy in location-aware services
inferredcites →https://doi.org/10.1109/percomw.2013.6529514openalex-snapshot
JointCache: Collaborative path confusion through lightweight P2P communication
inferredcites →https://doi.org/10.1109/pst.2013.6596032openalex-snapshot
Selective cloaking: Need-to-know for location-based apps
inferredcites →https://doi.org/10.1109/sp.2016.39openalex-snapshot
Synthesizing Plausible Privacy-Preserving Location Traces
inferredcites →https://doi.org/10.1109/srds.2017.25openalex-snapshot
PULP: Achieving Privacy and Utility Trade-Off in User Mobility Data
inferredcites →https://doi.org/10.1109/trustcom.2013.96openalex-snapshot
De-anonymization Attack on Geolocated Data
inferredcites →https://doi.org/10.1109/trustcom.2015.417openalex-snapshot
Time Distortion Anonymization for the Publication of Mobility Data with High Utility
inferredcites →https://doi.org/10.1145/1032222.1032261openalex-snapshot
Discovering personal gazetteers
inferredcites →https://doi.org/10.1145/1367497.1367531openalex-snapshot
Supporting anonymous location queries in mobile environments with privacygrid
inferredcites →https://doi.org/10.1145/1555816.1555823openalex-snapshot
PEIR, the personal environmental impact report, as a platform for participatory sensing systems research
inferredcites →https://doi.org/10.1145/1620545.1620550openalex-snapshot
Privately querying location-based services with SybilQuery
inferredcites →https://doi.org/10.1145/1868470.1868479openalex-snapshot
Show me how you move and I will tell you who you are
inferredcites →https://doi.org/10.1145/2716281.2836111openalex-snapshot
Hiding mobile traffic fingerprints with GLOVE
inferredcites →https://doi.org/10.1145/275487.275508openalex-snapshot
Generalizing data to provide anonymity when disclosing information (abstract)
inferredcites →https://doi.org/10.1145/3465481.3470474openalex-snapshot
Uniqueness Assessment of Human Mobility on Multi-Sensor Datasets
inferredcites →https://doi.org/10.15783/c7j010openalex-snapshot
CRAWDAD dataset epfl/mobility (v. 2009-02-24)
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s10707-023-00507-3openalex-snapshot
Resisting TUL attack: balancing data privacy and utility on trajectory via collaborative adversarial learning
inferred← citeshttps://doi.org/10.1016/j.conengprac.2023.105456openalex-snapshot
Privacy protection control for mobile apps users
inferred← citeshttps://doi.org/10.1016/j.cose.2020.101949openalex-snapshot
Protecting sensitive place visits in privacy-preserving trajectory publishing
inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.07.011openalex-snapshot
Empowering mobile crowdsourcing apps with user privacy control
inferred← citeshttps://doi.org/10.3390/app13063830openalex-snapshot
Collecting, Processing and Secondary Using Personal and (Pseudo)Anonymized Data in Smart Cities
inferred← citeshttps://doi.org/10.3390/app15148065openalex-snapshot
A Combined Approach of Heat Map Confusion and Local Differential Privacy for the Anonymization of Mobility Data
inferred← citeshttps://doi.org/10.5753/jisa.2025.5242openalex-snapshot
INTACT: Compact Storage of Data Streams in Mobile Devices to Unlock User Privacy at the Edge
inferred← citeshttps://doi.org/10.70675/30b464f2z9baaz4e8ez9f25ze7d65ac5f0e3openalex-snapshot
Protection against re-identification attacks in location privacy
inferred← citeshttps://doi.org/10.70675/904ebb6cz8ea6z499bzbbadz15dba552ae14openalex-snapshot
Modelling of a privacy language and efficient policy-based de-identification
inferred← citeshttps://doi.org/10.70675/c118af96z9a87z460fz8378zb039b96ece7dopenalex-snapshot
Privacy preserving location based services : From centralized to federated approaches
inferred← citeshttps://doi.org/10.70675/e028105bz5324z44edzad55z32f4a51f34b3openalex-snapshot
Towards privacy-sensitive mobile crowdsourcing
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