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Large-scale collection of contextual information is often essential in order to gather statistics, train machine learning models, and extract knowledge from data.
Nearest Neighbor Pattern Classification
T. M. Cover and P. E. Hart · 1967
Earlier work this paper cites.
Space/time trade-offs in hash coding with allowable errors
B. H. Bloom · 1970
Earlier work this paper cites.
Untraceable electronic mail, return addresses, and digital pseudonyms
D. L. Chaum · 1981
Earlier work this paper cites.
Protocols for secure computations
A. C.-C. Yao · 1982
Earlier work this paper cites.
Dense probabilistic encryption
J. Benaloh · 1994
Earlier work this paper cites.
Recommender Systems
P. Resnick and H. R. Varian · 1997
Earlier work this paper cites.
Introduction to algorithms
T. H. Cormen, C. E. Leiserson, R. Rivest, and C. Stein · 2001
Earlier work this paper cites.
Item-based Collaborative Filtering Recommendation Algorithms
B. Sarwar, G. Karypis, J. Konstan, and J. Riedl · 2001
Earlier work this paper cites.
Finding frequent items in data streams
M. Charikar, K. Chen, and M. Farach-Colton · 2002
Earlier work this paper cites.
k-Anonymity: A model for Protecting Privacy
L. Sweeney · 2002
Earlier work this paper cites.
Tor: The second-generation Onion Router
R. Dingledine, N. Mathewson, and P. Syverson · 2004
Earlier work this paper cites.
Evaluating Collaborative Filtering Recommender Systems
J. L. Herlocker, J. A. Konstan, L. G. Terveen, and J. T. Riedl · 2004
Earlier work this paper cites.
Toward the next generation of recommender systems: A survey of the state-of-the-art and possible extensions
G. Adomavicius and A. Tuzhilin · 2005
Earlier work this paper cites.
Efficient aggregation of encrypted data in wireless sensor networks
C. Castelluccia, E. Mykletun, and G. Tsudik · 2005
Earlier work this paper cites.
An Improved Data Stream Summary: The Count-Min Sketch and Its Applications
G. Cormode and S. Muthukrishnan · 2005
Earlier work this paper cites.
Differential Privacy
C. Dwork · 2006
Earlier work this paper cites.
Calibrating Noise to Sensitivity in Private Data Analysis
C. Dwork, F. McSherry, K. Nissim, and A. Smith · 2006
Earlier work this paper cites.
CarTel: A Distributed Mobile Sensor Computing System
B. Hull, V. Bychkovsky, Y. Zhang, K. Chen, M. Goraczko, A. Miu, E. Shih, H. Balakrishnan, and S. Madden · 2006
Earlier work this paper cites.
An agent-based approach for privacy-preserving recommender systems
R. Cissée and S. Albayrak · 2007
Earlier work this paper cites.
l-diversity: Privacy beyond k-anonymity
A. Machanavajjhala, D. Kifer, J. Gehrke, and M. Venkitasubramaniam · 2007
Earlier work this paper cites.
AnonySense: Privacy-aware people-centric sensing
C. Cornelius, A. Kapadia, D. Kotz, D. Peebles, M. Shin, and N. Triandopoulos · 2008
Earlier work this paper cites.
PoolView: stream privacy for grassroots participatory sensing
R. Ganti, N. Pham, Y. Tsai, and T. Abdelzaher · 2008
Earlier work this paper cites.
Towards trustworthy participatory sensing
A. Dua, N. Bulusu, W. Feng, and W. Hu · 2009
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On the Anonymity of Home/Work Location Pairs
P. Golle and K. Partridge · 2009
Cited alongside, same era.
Differentially Private Recommender Systems: Building Privacy Into the Net
F. McSherry and I. Mironov · 2009
Cited alongside, same era.
Toward trustworthy mobile sensing
P. Gilbert, L. Cox, J. Jung, and D. Wetherall · 2010
Cited alongside, same era.
Preserving privacy in participatory sensing systems
K. Huang, S. Kanhere, and W. Hu · 2010
Cited alongside, same era.
Predictive blacklisting as an implicit recommendation system
F. Soldo, A. Le, and A. Markopoulou · 2010
Cited alongside, same era.
Fast Elliptic Curve Cryptography in OpenSSL
E. Käsper · 2012
Later among the works it cites.
Efficient Private Proximity Testing with GSM Location Sketches
Z. Lin, D. F. Kune, and N. Hopper · 2012
Later among the works it cites.
On-The-Fly Multiparty Computation on the Cloud via Multi-Key Fully Homomorphic Encryption
A. López-Alt, E. Tromer, and V. Vaikuntanathan · 2012
Later among the works it cites.
SplitX: High-performance Private Analytics
R. Chen, I. E. Akkus, and P. Francis · 2013
Later among the works it cites.
Extended capabilities for a privacy-enhanced participatory sensing infrastructure
E. De Cristofaro and C. Soriente · 2013
Later among the works it cites.
Privacy-Preserving Distributed Movement Data Aggregation
A. Monreale, W. Wang, F. Pratesi, S. Rinzivillo, D. Pedreschi, G. Andrienko, and N. Andrienko · 2013
Later among the works it cites.
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D. J. Bernstein, N. Duif, T. Lange, P. Schwabe, and B.-Y. Yang · 2011
Cited alongside, same era.
Privacy-friendly Aggregation for the Smart-grid
K. Kursawe, G. Danezis, and M. Kohlweiss · 2011
Cited alongside, same era.
Pan-Private Algorithms via Statistics on Sketches
D. Mir, S. Muthukrishnan, A. Nikolov, and R. N. Wright · 2011
Cited alongside, same era.
Location Privacy via Private Proximity Testing
A. Narayanan, N. Thiagarajan, M. Lakhani, M. Hamburg, and D. Boneh · 2011
Cited alongside, same era.
NextPlace: A Spatio-Temporal Prediction Framework for Pervasive Systems
S. Scellato, M. Musolesi, C. Mascolo, V. Latora, and A. T. Campbell · 2011
Cited alongside, same era.
Privacy-Preserving Aggregation of Time-Series Data
E. Shi, T.-H. H. Chan, E. G. Rieffel, R. Chow, and D. Song · 2011
Cited alongside, same era.
Privacy-Preserving Matrix Factorization
V. Nikolaenko, S. Ioannidis, U. Weinsberg, M. Joye, N. Taft, and D. Boneh · 2013
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A Scalable and Efficient Privacy Preserving Global Itemset Support Approximation Using Bloom Filters
V. G. Ashok and R. Mukkamala · 2014
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What’s the Gist? Privacy-Preserving Aggregation of User Profiles
I. Bilogrevic, J. Freudiger, E. De Cristofaro, and E. Uzun · 2014
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Private predictive analysis on encrypted medical data
J. W. Bos, K. Lauter, and M. Naehrig · 2014
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Machine learning classification over encrypted data
R. Bost, R. A. Popa, S. Tu, and S. Goldwasser · 2014
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PrivEx: Private Collection of Traffic Statistics for Anonymous Communication Networks
T. Elahi, G. Danezis, and I. Goldberg · 2014
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RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
Ú. Erlingsson, V. Pihur, and A. Korolova · 2014
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Reuse it or lose it: more efficient secure computation through reuse of encrypted values
B. Mood, D. Gupta, K. Butler, and J. Feigenbaum · 2014
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https://sites.google.com/site/countminsketch/ , 2015
Count-Min Sketch and its applications · 2015
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Local, Private, Efficient Protocols for Succinct Histograms
R. Bassily and A. Smith · 2015
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Controlled Data Sharing for Collaborative Predictive Blacklisting
J. Freudiger, E. De Cristofaro, and A. Brito · 2015
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Hidden-Service statistics Reported by Relays
D. Goulet, A. Johnson, G. Kadianakis, and K. Loesing · 2015
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Anticipatory Mobile Computing: A Survey of the State of the Art and Research Challenges
V. Pejovic and M. Musolesi · 2015
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Privately computing set-union and set-intersection cardinality via bloom filters
J. Tillmanns · 2015
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Telegraph – Quarter of the world will be using smartphones in 2016
S. Curtis · 2016
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