Machine Learning
Privacy-preserving data mining
SIGMOD '00 Proceedings of the 2000 ACM SIGMOD international conference on Management of data
On the design and quantification of privacy preserving data mining algorithms
PODS '01 Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems
Microdata Protection through Noise Addition
Inference Control in Statistical Databases, From Theory to Practice
On the Privacy Preserving Properties of Random Data Perturbation Techniques
ICDM '03 Proceedings of the Third IEEE International Conference on Data Mining
Mining distance-based outliers in near linear time with randomization and a simple pruning rule
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-preserving k-means clustering over vertically partitioned data
Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining
Deriving private information from randomized data
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining
IEEE Transactions on Knowledge and Data Engineering
Privacy Preserving Data Classification with Rotation Perturbation
ICDM '05 Proceedings of the Fifth IEEE International Conference on Data Mining
Privacy-preserving SVM using nonlinear kernels on horizontally partitioned data
Proceedings of the 2006 ACM symposium on Applied computing
Cryptographically private support vector machines
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
Singular value decomposition based data distortion strategy for privacy protection
Knowledge and Information Systems
CarTel: a distributed mobile sensor computing system
Proceedings of the 4th international conference on Embedded networked sensor systems
ICDMW '06 Proceedings of the Sixth IEEE International Conference on Data Mining - Workshops
IEEE Pervasive Computing
The BikeNet mobile sensing system for cyclist experience mapping
Proceedings of the 5th international conference on Embedded networked sensor systems
Privacy-preserving SVM classification
Knowledge and Information Systems
Privacy Preserving Support Vector Machines in Wireless Sensor Networks
ARES '08 Proceedings of the 2008 Third International Conference on Availability, Reliability and Security
Behavioral detection of malware on mobile handsets
Proceedings of the 6th international conference on Mobile systems, applications, and services
Composition attacks and auxiliary information in data privacy
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-preserving classification of vertically partitioned data via random kernels
ACM Transactions on Knowledge Discovery from Data (TKDD)
Radio-telepathy: extracting a secret key from an unauthenticated wireless channel
Proceedings of the 14th ACM international conference on Mobile computing and networking
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
Wavelet-Based Data Perturbation for Simultaneous Privacy-Preserving and Statistics-Preserving
ICDMW '08 Proceedings of the 2008 IEEE International Conference on Data Mining Workshops
Releasing the SVM Classifier with Privacy-Preservation
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Proceedings of the 7th international conference on Mobile systems, applications, and services
A framework of energy efficient mobile sensing for automatic user state recognition
Proceedings of the 7th international conference on Mobile systems, applications, and services
Distance Metric Learning for Large Margin Nearest Neighbor Classification
The Journal of Machine Learning Research
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
Accurate and large-scale privacy-preserving data mining using the election paradigm
Data & Knowledge Engineering
ICNC '09 Proceedings of the 2009 Fifth International Conference on Natural Computation - Volume 01
PinKDD'07 Proceedings of the 1st ACM SIGKDD international conference on Privacy, security, and trust in KDD
Darwin phones: the evolution of sensing and inference on mobile phones
Proceedings of the 8th international conference on Mobile systems, applications, and services
MoVi: mobile phone based video highlights via collaborative sensing
Proceedings of the 8th international conference on Mobile systems, applications, and services
Privacy-preserving outsourcing support vector machines with random transformation
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Privacy-aware regression modeling of participatory sensing data
Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems
Differentially Private Empirical Risk Minimization
The Journal of Machine Learning Research
On the Design and Analysis of the Privacy-Preserving SVM Classifier
IEEE Transactions on Knowledge and Data Engineering
Privacy-Preserving SVM classification on vertically partitioned data
PAKDD'06 Proceedings of the 10th Pacific-Asia conference on Advances in Knowledge Discovery and Data Mining
Privacy-preserving reconstruction of multidimensional data maps in vehicular participatory sensing
EWSN'10 Proceedings of the 7th European conference on Wireless Sensor Networks
Reconstructing an image from its local descriptors
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
Distributed support vector machines
IEEE Transactions on Neural Networks
Auditeur: a mobile-cloud service platform for acoustic event detection on smartphones
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Crowd++: unsupervised speaker count with smartphones
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
ipShield: a framework for enforcing context-aware privacy
NSDI'14 Proceedings of the 11th USENIX Conference on Networked Systems Design and Implementation
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In this paper, we consider the design of a system in which Internet-connected mobile users contribute sensor data as training samples, and collaborate on building a model for classification tasks such as activity or context recognition. Constructing the model can naturally be performed by a service running in the cloud, but users may be more inclined to contribute training samples if the privacy of these data could be ensured. Thus, in this paper, we focus on privacy-preserving collaborative learning for the mobile setting, which addresses several competing challenges not previously considered in the literature: supporting complex classification methods like support vector machines, respecting mobile computing and communication constraints, and enabling user-determined privacy levels. Our approach, Pickle, ensures classification accuracy even in the presence of significantly perturbed training samples, is robust to methods that attempt to infer the original data or poison the model, and imposes minimal costs. We validate these claims using a user study, many real-world datasets and two different implementations of Pickle.