Publications of Latanya Sweeney, PhD

By Type | Chronological

Most Recent

1. Who Knows What About Me? A Survey of Behind the Scenes Personal Data Sharing to Third Parties by Mobile Apps.
   Zang J, Dummit K, Graves J, Lisker P, and Sweeney L.
   Technology Science, 2015103001. October 30, 2015.

2. Sharing Sensitive Data with Confidence: The Datatags System.
   Sweeney L Crosas M, and Bar-Sinai M.
   Technology Science, 2015101601. October 16, 2015.

3. De-anonymizing South Korean Resident Registration Numbers Shared in Prescription Data.
   Sweeney L and Yoo J.
   Technology Science, 2015092901. September 29, 2015.

4. Only You, Your Doctor, and Many Others May Know.
   Sweeney L.
   Technology Science, 2015092903. September 29, 2015.
   Earlier technical report: Sweeney L. Matching Known Patients to Health Records in Washington State Data. Harvard University. Data Privacy Lab. 1089-1. June 2013.

5. Automating Open Science for Big Data.
   Crosas M, King G, Honaker J and Sweeney L.
   The ANNALS of the American Academy of Political and Social Science May 2015 vol. 659 no. 1 260-273.

6. Discrimination in Online Ad Delivery.
   Sweeney L.
   Communications of the Association of Computing Machinery (CACM), forthcoming.
   Co-publication of longer version: ACM Queue, forthcoming.
   Earlier technical report: Data Privacy Lab White Paper 1071-1. Harvard University. Cambridge. January 2013. SSRN: https://ssrn.com/abstract=2208240 and arXiv: https://arxiv.org/abs/1301.6822.

7. Putting Health IT on the Path to Success
   William Yasnoff, MD, Latanya Sweeney, PhD, Edward Shortliffe, MD
   Journal of the American Medical Association (JAMA) 2013;309(10):989-990. doi:10.1001/jama.2013.1474

8. Patient Privacy Risks in U.S. Supreme Court Case Sorrell v. IMS Health Inc.: Response to Amici Brief of El Emam and Yakowitz
   Sweeney, L.
   Data Privacy Lab Working Paper 1027. Cambridge 2011. dataprivacylab.org/projects/identifiability/pharma2.html

9. Patient Identifiability in Pharmaceutical Marketing Data
   Sweeney, L.
   Data Privacy Lab Working Paper 1015. Cambridge 2011. Earlier version available as Identifiability of De-identified Pharmacy Data. Pittsburgh 2003. dataprivacylab.org/projects/identifiability/pharma1.html

10. Privacy Issues Overlooked
    Sweeney, L.
    Modern Healthcare. September 9, 2010. dataprivacylab.org/projects/nhin3/

11. Adaptive Gaussian Process for Wind Speed Forecast
    Jiang, X., Dong, B., Xie, L., and Sweeney, L.
    The 19th European Conference on Artificial Intelligence (ECAI 2010). dataprivacylab.org/projects/sensor/index.html

12. Face De-identification.
    Gross, R., Sweeney, L., Cohn, J., de la Torre, F. and Baker, S.
    Protecting Privacy in Video Surveillance, A. Senior, editor. Springer, 2009. dataprivacylab.org/projects/facedeid/index.html.

13. From Sensor Networks to Social Networks - A Time Series M3N Approach
    Jiang, X., Bing, D., and Sweeney, L.
    NIPS Workshop Analyzing Networks and Learning with Graphs, 2009. dataprivacylab.org/projects/sensor/index2.html

14. The Medical Billing Framework as the Backbone of the National Health Information Infrastructure.
    Sweeney, L.
    Data Privacy Lab. AdvanceHIT Series. Working Paper 1001. October 2009. dataprivacylab.org/projects/nhin1/

15. The HandShot Hand Tracking System.
    Gross, R. and Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Technical Report, 2009. In preparation.

16. Photographing Friction Ridge Information: A Research Notebook.
    Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-43.
    Pittsburgh: (2007, 2009). In preparation.

17. Converting a Photograph of Friction Ridge Information to a Corresponding Ink-Like Print: A Research Notebook.
    Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-39.
    Pittsburgh: (July 20006, May 2007, 2009). In preparation.

18. Identifiability of De-identified Clinical Trial Data.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report. Pittsburgh: 2009.

19. Multi-Factor De-Identification of Facial Images.
    Gross, R., and Sweeney, L., Cohn, F., de la Torre, F., and Baker, S.
    Proceedings of the 2008 American Medical Informatics Association Annual Symposium, 2008. (AMIA acceptance rate 29%) dataprivacylab.org/projects/facedeid/index2.html

20. Semi-Supervised Learning of Multi-Factor Models for Face De-Identification.
    Gross, R. and Sweeney, L.
    IEEE Conference on Computer Vision and Pattern Recognition, Anchorage, AK, June 2008. (CVPR acceptance rate 28%) dataprivacylab.org/projects/facedeid/index3.html

21. Demonstration of a Privacy-Preserving System that Performs an Unduplicated Accounting of Services across Homeless Programs.
    Sweeney, L.
    Data Privacy Lab Working Paper 902. Pittsburgh 2007, October 2008. dataprivacylab.org/projects/homeless/index2.html

22. Managing End-of-Life Care in Complex Patients Can Reduce Costs Without Shortening Life.
    Latanya Sweeney, PhD, Andrew Halpert MD, Joan Waranoff MS MBA
    American Journal of Managed Care 13 February 2007, pp. 84-92. (impact factor 2.28)
    Earlier version available as Carnegie Mellon University, Technical Report CMU-ISRI-05-124. dataprivacylab.org/dataprivacy/projects/complexcare/index.html.

23. Towards Real-World Face De-Identification.
    Gross, R. and Sweeney, L.
    IEEE Conference on Biometrics, Washington, DC, September 2007. (BTAS acceptance rate 11%) dataprivacylab.org/projects/facedeid/index4.html

24. Robust Hand Geometry Measurements for Person Identification using Active Appearance Models.
    Gross, R., Li, Y., and Sweeney, L., Jiang, X., Xu, W., and Yurovsky, D.
    IEEE Conference on Biometrics, Washington, DC, September 2007. (BTAS acceptance rate 11%) dataprivacylab.org/projects/hand/index.html

25. New Direction on Contact-free Hand Recognition.
    Jiang, X., Xu, W., Li, Y., Sweeney, L., Gross, R., and Yurovsky, D.
    IEEE International Conference on Image Processing, San Antonio, Texas, September 2007. (ICIP acceptance rate 46%) dataprivacylab.org/projects/hand/index2.html

26. 2D image database indexing: a coefficient-based approach.
    Jiang, X., Xu, W., Li, Y., Sweeney, L., Gross, R., and Yurovsky, D.
    IEEE International Conference on Multimedia and Expo, Beijing, China, July 2007. (ICME acceptance rate 22%) dataprivacylab.org/projects/hand/index3.html

27. Fine-Grained Segmentation of a Single Foreground Object: A Research Notebook.
    Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-42.
    Pittsburgh: 2007.

28. Protecting Job Seekers from Identity Theft.
    Sweeney, L.
    IEEE Internet Computing 10 (2) March 2006. (impact factor 1.55)
    Earlier version available as A Guardian Angel Protects You From Identity Theft. Carnegie Mellon University, LIDAP Working Paper 16. Pittsburgh: January 2006. dataprivacylab.org/dataprivacy/projects/idangel/paper3.html.

29. Composition and disclosure of unlinkable distributed databases.
    Malin, B. and Sweeney, L..
    22nd IEEE International Conference on Data Engineering, Atlanta, GA, April 2006. (ICDE acceptance rate 19%) dataprivacylab.org/dataprivacy/projects/trails/index4.html

30. Model-based face de-identification.
    R. Gross, Sweeney, L., de la Torre, F., and Baker, S.
    IEEE Workshop on Privacy Research in Vision, 2006. dataprivacylab.org/projects/facedeid/index5.html

31. Inked and Scanned Database over a Common Population.
    Weedn, V. and Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-33.
    Pittsburgh: 2006.

32. Finger Shot Database over a Common Population.
    Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-33.
    Pittsburgh: 2006.

33. Palm Capture Database: a Collection of Naturally Posed Palms.
    Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-32.
    Pittsburgh: 2006.

34. Hand Shake: a Database of Naturally Positioned Hands.
    Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-31.
    Pittsburgh: 2006.

35. Privacy-Enhanced Linking.
    Sweeney, L.
    ACM SIGKDD Explorations 7(2) December 2005.
    Earlier version available as Carnegie Mellon University, School of Computer Science Technical Report CMU-ISRI-05-136. Pittsburgh: November 2005. dataprivacylab.org/dataprivacy/projects/pel/index.html.

36. Privacy-Preserving Surveillance using Databases from Daily Life.
    Sweeney, L.
    IEEE Intelligent Systems, 20 (5), September-October 2005. (impact factor 1.44)
    Also known as Homeland Security by John Yen , Robert Popp , George Cybenko , K.A. Taipale , Latanya Sweeney , Paul Rosenzweig in same issue. Earlier version available as Privacy-Preserving Surveillance using Selective Revelation, Carnegie Mellon University, LIDAP Working Paper 15, February 2005. dataprivacylab.org/dataprivacy/projects/selectiverevelation/index.html.

37. Preserving Privacy by De-identifying Facial Images.
    Newton, E., Sweeney, L., and Malin, B.
    IEEE Transactions on Knowledge and Data Engineering, 17 (2) February 2005, pp. 232-243. (impact factor 1.90)
    Originally available as Carnegie Mellon University, School of Computer Science, Technical Report, CMU-CS-03-119. Pittsburgh: March 2003. dataprivacylab.org/dataprivacy/projects/video/index.html.

38. A secure protocol to distribute unlinkable health data.
    Malin, B. and Sweeney, L..
    Proceedings, Journal of the American Medical Informatics Association. Washington, DC. Oct 2005: 485-489. (AMIA acceptance rate 29%) dataprivacylab.org/dataprivacy/projects/trails/index5.html

39. Email Alias Detection Using Network Analysis.
    Holzer, R. Malin, B., and Sweeney, L.
    Proceedings of the ACM SIGKDD Workshop on Link Discovery: Issues, Approaches, and Applications. Chicago, IL. August 2005. (LinkKDD acceptance rate 19%) dataprivacylab.org/dataprivacy/projects/emailalias/index.html.

40. AI Technologies to Defeat Identity Theft Vulnerabilities.
    Sweeney, L.
    AAAI Spring Symposium, AI Technologies for Homeland Security, 2005. dataprivacylab.org/dataprivacy/projects/idangel/index.html.

41. Mining Images in Publicly-Available Cameras for Homeland Security.
    Sweeney, L. and Gross, R.
    AAAI Spring Symposium, AI Technologies for Homeland Security, 2005. dataprivacylab.org/dataprivacy/projects/videocount/index.html.

42. Technologies to Defeat Fraudulent Schemes Related to Email Requests.
    Airoldi, E. and Malin, B., and Sweeney, L.
    AAAI Spring Symposium, AI Technologies for Homeland Security, 2005. dataprivacylab.org/dataprivacy/projects/scamspam/index.html.

43. Privacy-Preserving Bio-terrorism Surveillance.
    Sweeney, L.
    AAAI Spring Symposium, AI Technologies for Homeland Security, 2005. dataprivacylab.org/dataprivacy/projects/bioterror/index.html.

44. Towards a Privacy-Preserving Watchlist Solution.
    Sweeney, L.
    AAAI Spring Symposium, AI Technologies for Homeland Security, 2005. dataprivacylab.org/dataprivacy/projects/watchlist/index.html.

45. Integrating Utility into Face De-Identification.
    Gross, R. Airoldi, E., Malin, B., and Sweeney, L.
    Workshop on Privacy-Enhanced Technologies, 2005. (PET acceptance rate 26%) dataprivacylab.org/dataprivacy/projects/videoutility/index.html.

46. Risk Assessments of Personal Identification Technologies for Domestic Violence Homeless Shelters.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science. Technical Report CMU-ISRI-05-133. Pittsburgh: November 2005. Data Privacy Lab Working Paper 901. Pittsburgh 2005. dataprivacylab.org/projects/homeless/index.html

47. Silhouette Database of Naturally Positioned Hands.
    Sweeney, L..
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-30.
    Pittsburgh: 2005.

48. CameraWatch.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report. Pittsburgh: 2005. dataprivacylab.org/dataprivacy/projects/camwatch/

49. Adding Semantics and Rigor to Association Rule Learning: the GenTree Approach.
    Li, Y. and Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Technical Report, CMU-ISRI-05-101. Pittsburgh: January 2005. dataprivacylab.org/dataprivacy/projects/gentree/gentree2.html.

50. A Fast 3-D Imaging System for Capturing Fingerprints, Palm Prints and Hand Geometry: the HandShot ID System.
    Sweeney, L., Weedn, V., and Gross, R.
    Carnegie Mellon University, School of Computer Science, Technical Report, CMU-ISRI-05-105. Pittsburgh: 2004. dataprivacylab.org/dataprivacy/projects/handshot/index.html

51. Navigating Computer Science Research Through Waves of Privacy Concerns: Discussions among Computer Scientists at Carnegie Mellon University.
    Sweeney, L.
    ACM Computers and Society, 34 (1) April 2004.
    Originally available as Carnegie Mellon University, School of Computer Science, Technical Report CMU-CS-03-165, CMU-ISRI-03-102. Pittsburgh: July 2003. dataprivacylab.org/dataprivacy/projects/csresearch.html

52. Finding Lists of People on the Web.
    Sweeney, L.
    ACM Computers and Society, 34 (1) April 2004.
    Originally available as Carnegie Mellon University, School of Computer Science, Technical Report CMU-CS-03-168, CMU-ISRI-03-104. Pittsburgh: June 2003. dataprivacylab.org/dataprivacy/projects/rosterfinder/index.html

53. How (not) to protect genomic data privacy in a distributed network: using trail re-identification to evaluate and design anonymity protection systems.
    Malin, B. and Sweeney, L.
    Journal of Biomedical Informatics. 2004; 37(3): 179-192. (impact factor 2.0) Also available on MEDLINE. Best of the Year Award by the International Medical Informatics Association, and as such appears in The 2005 Year Book of Medical Informatics (more). dataprivacylab.org/dataprivacy/projects/trails/dnaTrails.html

54. Social Security Number Watch: Matching a Person to a Social Security Number.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report. Pittsburgh: 2004. dataprivacylab.org/dataprivacy/projects/ssnwatch/index.html

55. A Multiparty Computation for Randomly Ordering Players and Making Random Selections.
    Sweeney, L. and Shamos, M.
    Carnegie Mellon University, School of Computer Science, Technical Report, CMU-ISRI-04-126. Pittsburgh: July 2004. dataprivacylab.org/dataprivacy/projects/randomorder/index.html

56. Detecting Bio-Terrorist Attacks and Naturally Occurring Outbreaks Over a Distributed Network While Protecting Privacy and Confidentiality: the PrivaSum Protocol.
    Edo-Eket, S. and Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Technical Report CMU-ISRI-04-111. Pittsburgh: 2004.

57. Privacy-Preserving Bio-terrorism Surveillance that is HIPAA-Compliant Too: the Privacert System.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Technical Report CMU-ISRI-04-112. Pittsburgh: 2004.

58. Learning Semantically Robust Rules from Data.
    Li, Y. and Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Tech Report, CMU ISRI 04-107, CMU-CALD-04-100. Pittsburgh: February 2004. dataprivacylab.org/dataprivacy/projects/gentree/index.html

59. Trail Re-identification: Learning Who You are From Where You Have Been.
    Malin, B., Sweeney, L., and Newton, E.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory Technical Report, LIDAP-WP12. Pittsburgh: February 2003. dataprivacylab.org/dataprivacy/projects/trails/index3.html

60. Optimal anonymity using k-similar, a new clustering algorithm.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report. Pittsburgh: 2003.

61. That's AI?: a history and critique of the field.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Technical Report, CMU-CS-03-106. Pittsburgh: January 2003. dataprivacylab.org/dataprivacy/projects/thatsai/index.html.

62. k-anonymity: a model for protecting privacy.
    Sweeney, L.
    International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10 (5), 2002; 557-570. (impact factor 0.38) Since publication, received recognition award as a noteworthy work at the 2004 Workshop on Privacy Enhancing Technologies. The concept "k-anonymity," which this paper introduces has been heavily cited in other academic publications. dataprivacylab.org/dataprivacy/projects/kanonymity/kanonymity.html.

63. Achieving k-anonymity privacy protection using generalization and suppression.
    Sweeney, L.
    International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10 (5), 2002; 571-588. (impact factor 0.38) dataprivacylab.org/dataprivacy/projects/kanonymity/kanonymity2.html.

64. Inferring Genotype from Clinical Phenotype through a Knowledge Based Algorithm.
    Malin, B. and Sweeney, L.
    Pacific Symposium on Biocomputing 2002, R.B. Altman et al. (Eds.) (World Scientific, Singapore, 2002). Also available on MEDLINE. dataprivacylab.org/dataprivacy/projects/genetic/dna3.html

65. Information Explosion.
    Sweeney, L.
    Confidentiality, Disclosure, and Data Access: Theory and Practical Applications for Statistical Agencies, L. Zayatz, P. Doyle, J. Theeuwes and J. Lane (eds), Urban Institute, Washington, DC, 2001. dataprivacylab.org/dataprivacy/projects/explosion/index.html.

66. Re-Identification of DNA through an Automated Linkage Process .
    Malin, B. and Sweeney, L.
    Proceedings, Journal of the American Medical Informatics Association. Washington, DC: Hanley & Belfus, Inc. Nov 2001; 423-427. (AMIA acceptance rate 29%) dataprivacylab.org/dataprivacy/projects/genetic/dna2.html

67. Electronic Disease Surveillance and Reporting: the eReport System.
    Malloy, W. and Sweeney, L.
    Proceedings, Journal of the American Medical Informatics Association. Washington, DC: Hanley & Belfus, Inc. Nov 2001; 964. (AMIA acceptance rate 29%) dataprivacylab.org/projects/ereport/index.html

68. Computational Disclosure Control: Theory and Practice.
    Sweeney, L.
    Massachusetts Institute of Technology, Ph.D. Thesis in Computer Science, 2001.

69. Determining the Identifiability of DNA Database Entries.
    Malin, B. and Sweeney, L.
    Proceedings, Journal of the American Medical Informatics Association. Washington, DC: Hanley & Belfus, Inc. Nov 2000; 537-541. (AMIA acceptance rate 29%) dataprivacylab.org/dataprivacy/projects/genetic/dna1.html

70. Foundations of Privacy Protection from a Computer Science Perspective.
    Sweeney, L.
    Proceedings, Joint Statistical Meeting, AAAS, Indianapolis, IN. 2000. dataprivacylab.org/projects/disclosurecontrol/index.html

71. Uniqueness of Simple Demographics in the U.S. Population.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report LIDAP-WP4. Pittsburgh: 2000.
    Shorter version: Simple Demographics Often Identify People Uniquely.
    Sweeney, L.
    Carnegie Mellon University, Data Privacy Working Paper 3. Pittsburgh 2000. dataprivacylab.org/projects/identifiability/index.html.

72. Re-identification of De-identified Survey Data.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report. Pittsburgh: 2000.

73. An intelligent tutor for teaching basic computer science and Java programming to medical informatics students.
    Sweeney, L.
    Proceedings, Journal of the American Medical Informatics Association. Washington, DC: Hanley & Belfus, Inc., 1999. (AMIA acceptance rate 29%) dataprivacylab.org/projects/tutor1/index.html

74. Y2K BEACON: an intelligent web-based crisis center for disseminating Year 2000 biomedical equipment compliance information.
    Sweeney, L. and Barrett, S.
    Proceedings, Journal of the American Medical Informatics Association. Washington, DC: Hanley & Belfus, Inc., 1999. (AMIA acceptance rate 29%) dataprivacylab.org/projects/crisis/index.html

75. Datafly: a system for providing anonymity in medical data.
    Sweeney, L.
    Database Security, XI: Status and Prospects, T. Lin and S. Qian (eds), Elsevier Science, Amsterdam, 1998. dataprivacylab.org/datafly/index.html

76. Commentary: Researchers need not rely on consent or not.
    Sweeney, L.
    New England Journal of Medicine, 1998. (impact factor 52.59) dataprivacylab.org/projects/research/index.html

77. Protecting privacy when disclosing information: k-anonymity and its enforcement through generalization and suppression.
    Samarati, P. and Sweeney, L.
    Proceedings of the IEEE Symposium on Research in Security and Privacy, May 1998, Oakland, CA. (S&P acceptance rate 10%) Also appears as Protecting respondents identities in microdata release, IEEE Transactions on Knowledge and Data Engineering, 2001. (impact factor 1.90) dataprivacylab.org/dataprivacy/projects/kanonymity/index3.html

78. Generalizing data to provide anonymity when disclosing information.
    Samarati, P. and Sweeney, L.
    ACM Principles of Database Systems. Seattle, WA, USA, 1998. (PODS acceptance rate 21%) dataprivacylab.org/dataprivacy/projects/kanonymity/index4.html

79. Towards the optimal suppression of details when disclosing medical data, the use of sub-combination analysis.
    Sweeney, L.
    Proceedings, MEDINFO 98. International Medical Informatics Association. Seoul, Korea. North-Holland, 1998. dataprivacylab.org/dataprivacy/projects/kanonymity/index5.html

80. Three computational systems for disclosing medical data in the year 1999.
    Sweeney, L.
    Proceedings, MEDINFO 98. International Medical Informatics Association. Seoul, Korea. North-Holland, 1998. dataprivacylab.org/dataprivacy/projects/kanonymity/index6.html

81. Power Learning: using computers as teaching machines.
    Sweeney, L.
    Massachusetts Institute of Technology, Artificial Intelligence Laboratory: Working Paper. 1998. dataprivacylab.org/projects/plcp/index.html

82. Speech perception using real-time phoneme detection, the BeBe System.
    Sweeney, L. and Thompson, P.
    Massachusetts Institute of Technology, Laboratory for Computer Science: Tech Report MIT-LCS-TR-736. 1998. dataprivacylab.org/projects/bebe/index.html

83. Towards the collection of all the data on all the people.
    Sweeney, L.
    MIT Artificial Intelligence Working Paper, 1998.

84. Weaving technology and policy together to maintain confidentiality.
    Sweeney, L.
    Journal of Law, Medicine and Ethics. 1997, 25:98-110. (impact factor 1.04) Cited and discussed in the commentary of the HIPAA Privacy Rule. dataprivacylab.org/dataprivacy/projects/law/law1.html
85. Guaranteeing anonymity when sharing medical data, the datafly system.
    Sweeney, L.
    Proceedings, Journal of the American Medical Informatics Association. Washington, DC: Hanley & Belfus, Inc., 1997. (AMIA acceptance rate 29%) Recognition award. dataprivacylab.org/datafly/index4.html

86. Computational Disclosure Control for Medical Microdata.
    Sweeney, L.
    Record Linkage Workshop. Bureau of the Census. Washington, DC: 1997. dataprivacylab.org/dataprivacy/projects/kanonymity/index7.html
87. Maintaining Patient Confidentiality When Sharing Medical Data Requires a Symbiotic Relationship Between Technology and Policy.
    Sweeney, L.
    Artificial Intelligence Laboratory, Massachusetts Institute of Technology, AIWP-WP344, May 1997. dataprivacylab.org/dataprivacy/projects/law/law1.html

88. Maintaining anonymity when sharing medical data, the datafly system.
    Sweeney, L.
    MIT Artificial Intelligence Laboratory Working Paper. Cambridge: AIWP-WP344 (1997).

89. Iterative Profiler.
    Sweeney, L.
    Carnegie Mellon University, School of Computer Science, Data Privacy Laboratory, Technical Report. Pittsburgh: 1997.
    The Iterative Profiler sifts through publicly available data, using inferential linkages of data fragments across data sources to construct profiles of people whose information appears in the data. After it re-identified the names of children who appeared in a cancer registry, an Illinois court ordered the approach sealed. For the appellate decision, which upheld the sealing of the methodology while highly praising my approach, see https://www.state.il.us/court/Opinions/AppellateCourt/2004/5thDistrict/June/Html/5020836.htm.

90. Sprees, a Finite-State Orthographic Learning System that Recognizes and Generates Phonologically Similar Spellings.
    Sweeney, L.
    Massachusetts Institute of Technology, Masters Thesis in Computer Science. Finalist in MasterWorks. 1997.

91. Replacing Personally-Identifying Information in Medical Records, the Scrub System.
    Sweeney, L.
    In: Cimino, JJ, ed. Proceedings, Journal of the American Medical Informatics Association. Washington, DC: Hanley & Belfus, Inc., 1996:333-337. (AMIA acceptance rate 29%) Best paper award. dataprivacylab.org/projects/scrub/index.html

92. Multiple hashed binary storage of words -- tiny, fast and almost perfect.
    Sweeney, L.
    Massachusetts Institute of Technology, AI Laboratory: Working paper. 1996.

93. A Coin Toss: the Dialectical Odds aren't always 50/50.
    Sweeney, L.
    Harvard University, Undergraduate research thesis, 1995.

94. Computer Guide.
    Sweeney, L. and Barrett, S.
    Cambridge: CESS Publishing. 1983. (1425 pages) dataprivacylab.org/computerguide1983/index.html