Protecting Respondents' Identities in Microdata Release
IEEE Transactions on Knowledge and Data Engineering
k-anonymity: a model for protecting privacy
International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems
Privacy and Rationality in Individual Decision Making
IEEE Security and Privacy
Incognito: efficient full-domain K-anonymity
Proceedings of the 2005 ACM SIGMOD international conference on Management of data
k-Unlinkability: A privacy protection model for distributed data
Data & Knowledge Engineering
SS'07 Proceedings of 16th USENIX Security Symposium on USENIX Security Symposium
A content-driven access control system
Proceedings of the 7th symposium on Identity and trust on the Internet
A multi-objective approach to data sharing with privacy constraints and preference based objectives
Proceedings of the 11th Annual conference on Genetic and evolutionary computation
POkA: identifying pareto-optimal k-anonymous nodes in a domain hierarchy lattice
Proceedings of the 18th ACM conference on Information and knowledge management
Non-homogeneous generalization in privacy preserving data publishing
Proceedings of the 2010 ACM SIGMOD International Conference on Management of data
Theory of privacy and anonymity
Algorithms and theory of computation handbook
Beyond safe harbor: automatic discovery of health information de-identification policy alternatives
Proceedings of the 1st ACM International Health Informatics Symposium
COP: a step toward children online privacy
ACNS'10 Proceedings of the 8th international conference on Applied cryptography and network security
Relationships and data sanitization: a study in scarlet
Proceedings of the 2010 workshop on New security paradigms
DPM'10/SETOP'10 Proceedings of the 5th international Workshop on data privacy management, and 3rd international conference on Autonomous spontaneous security
kb-anonymity: a model for anonymized behaviour-preserving test and debugging data
Proceedings of the 32nd ACM SIGPLAN conference on Programming language design and implementation
Transactions on Data Privacy
Personal privacy vs population privacy: learning to attack anonymization
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
Protecting privacy in data release
Foundations of security analysis and design VI
Anonymization of location data does not work: a large-scale measurement study
MobiCom '11 Proceedings of the 17th annual international conference on Mobile computing and networking
Privacy measures for free text documents: bridging the gap between theory and practice
TrustBus'11 Proceedings of the 8th international conference on Trust, privacy and security in digital business
Proceedings of the 2011 Workshop on Governance of Technology, Information, and Policies
Stalking online: on user privacy in social networks
Proceedings of the second ACM conference on Data and Application Security and Privacy
Generalizations and extensions of redactable signatures with applications to electronic healthcare
CMS'10 Proceedings of the 11th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
Is older, wiser?: an age-specific study of exposure of private information
Proceedings of the 50th Annual Southeast Regional Conference
Theoretical Results on De-Anonymization via Linkage Attacks
Transactions on Data Privacy
Re-identification of Smart Meter data
Personal and Ubiquitous Computing
Bands of privacy preserving objectives: classification of PPDM strategies
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
Proceedings of the Ninth Symposium on Usable Privacy and Security
A case of collusion: a study of the interface between ad libraries and their apps
Proceedings of the Third ACM workshop on Security and privacy in smartphones & mobile devices
You cannot hide for long: de-anonymization of real-world dynamic behaviour
Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society
Inferring trip destinations from driving habits data
Proceedings of the 12th ACM workshop on Workshop on privacy in the electronic society
Exposing and mitigating privacy loss in crowdsourced survey platforms
Proceedings of the 2013 workshop on Student workhop
Dynamic enforcement of knowledge-based security policies using probabilistic abstract interpretation
Journal of Computer Security
Journal of Computer Security
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According to a famous study [10] of the 1990 census data, 87% of the US population can be uniquely identified by gender, ZIP code and full date of birth. This short paper revisits the uniqueness of simple demographics in the US population based on the most recent census data (the 2000 census). We offer a detailed, comprehensive and up-to-date picture of the threat to privacy posed by the disclosure of simple demographic information. Our results generally agree with the findings of [10], although we find that disclosing one's gender, ZIP code and full date of birth allows for unique identification of fewer individuals (63% of the US population) than reported in [10]. We hope that our study will be a useful reference for privacy researchers who need simple estimates of the comparative threat of disclosing various demographic data.