I am primarily interested in the idea of secure information sharing
and its various applications. My research contributions lie either in
the field of Security or the field of Data Mining, or most
successfully, at the interoperation of the two.
The confluence of Privacy/Security, Data
Mining and Databases leads to very interesting research issues. As
such, I am interested in security and privacy issues raised by data
mining; as also the application of secure computation technologies to
business processes such as supply chain management and optimization.
Other areas of interest include the application of data mining
techniques to interoperation of heterogeneous information
sources as well as the use of data mining for enhancing security.
AWARDS AND HONORS
Best Poster or Demo Award, 12th Annual International Conference on
Digital Government Research (dg.o 2011)
Rutgers Board of Trustees Research Fellowship for Scholarly
Excellence, 2010
Junior Faculty Research Award (One Per School), Rutgers Business
School, 2009
NSF CAREER Award, 2008.
Received the Best Paper award, Industry track, at ICDE 2005.
Received the Honorable Mention for best research paper award at KDD 2003.
Member of Upsilon Pi Epsilon, Computer
Science Honor Society
State Merit Scholarship awarded by the government of U.P., India (1989)
State Merit Scholarship awarded by the government of Maharashtra, India
(1990).
Privacy and security concerns can prevent sharing of data, derailing data
mining projects. Distributed knowledge discovery, if done correctly, can alleviate
this problem. The key is to obtain valid results, while providing guarantees on
the (non)disclosure of data. We focus on vertically partitioned data: situations
where different sites contain different attributes for a common set of entities.
The key challenges are to propose provably secure solutions which are also
practical. The thesis argues that it is indeed possible to have efficient and
practical techniques for provably privacy-preserving mining of knowledge from
large amounts of data. The dissertation presents several privacy preserving data
mining algorithms operating over vertically partitioned data. The set of
underlying techniques solving independent sub-problems are also presented.
Together, these enable the secure "mining" of knowledge.
Term Project:Implemented in C, a Text to Speech Synthesis system for the
Indian
National Language, Hindi, in collaboration with Faculte Polytechnic de Mons,
Belgium. Received a Special Commendation from the Principal of the College.
Research Assitant in the
Department of Computer Sciences
(affiliated with CERIAS and ICDS). Work included Ph.D.
research with Prof. Chris Clifton and on Secure Multi-Party Computation issues
as well as Graph Reachability Analysis with Prof. Mike Atallah.
Teaching Assistant for
Computer Architecture,
Compilers: Principles and Practice,
graduate level Cryptography.
Involves instructing laboratory sessions, grading and assisting students.
Summer Intern as part of the Content Aware Networks group.
Work on security issues in content aware networks.
Mentor: Wen-Syan Li
Summer Intern as part of the Trident Team in the Internet Explorer Group.
Core responsibility was to add W3C Document
Object Model (DOM) Level 1 support to IE 6.0.
Statistical Databases, Nabil Adam, Haibing Lu, Jaideep
Vaidya, and Basit Shafiq in
Encyclopedia of Cryptography and Security, van Tilborg, Henk;
Jajodia, Sushil (Eds.), Springer, 2011.
Vertically Partitioned data, Jaideep Vaidya in
Encyclopedia of Database Systems, Ozsu, M. Tamer; Liu,
Ling (Eds.), Springer, December, 2009.
Secure Multiparty Computation Methods, Murat Kantacioglu and Jaideep Vaidya in Encyclopedia of Database Systems, Ozsu, M. Tamer; Liu,
Ling (Eds.), Springer, December, 2009.
Chapter 14 - A Survey of Privacy-Preserving Methods across
Vertically Partitioned Data, Jaideep Vaidya in Privacy-Preserving
Data Mining: Models and Algorithms,
Charu Aggarwal, Philip S. Yu, eds., Springer, 2008.
Chapter 6 - Privacy, Profiling, Targeted Marketing, and Data
Mining. Jaideep Vaidya and Vijay Atluri in Digital
Privacy: Theory, Technologies, and Practices, Taylor and
Francis, December 18, 2007.
Constraint-Aware Role Mining Via Extended Boolean Matrix
Decomposition, Haibing Lu, Jaideep Vaidya, Vijayalakshmi
Atluri, and Yuan Hong, IEEE Transactions on Dependable and Secure
Computing, Special Issue on Data & Application Security (DAS),
accepted, 2012.
Resource Sharing using DHS-UICDS Framework for Incident
Management, Vijayalakshmi Atluri, Basit Shafiq, Soon
Chun, Ghulam Nabi, and Jaideep Vaidya, Transforming Government:
People, Process and Policy, accepted, 2011.
Structure-Aware Graph Anonymization, Xiaoyun He, Jaideep
Vaidya, Basit Shafiq, Nabil Adam, and Vijay Atluri, accepted for
publication in Web Intelligence and Agent Systems: An International
Journal, IOS Press, NL.
Efficient Privacy-Preserving Collaborative Filtering Based on the
Weighted Slope One Predictor, Anirban Basu, Jaideep Vaidya,
and Hiroaki Kikuchi, in the Journal of Internet Services and
Information Security (JISIS), 1(4), November 2011, pp. 26-46.
A Profile Anonymization Model for Location Based Services,
Heechang Shin, Jaideep Vaidya, and Vijayalakshmi Atluri,
Journal of Computer Security, 19(5), 2011, pp. 795-833, IOS Press, NL.
Semantics Based Automated Service Discovery Aabhas Paliwal, Basit
Shafiq, Jaideep Vaidya, Hui Xiong, and Nabil Adam, accepted for
publication in IEEE Transactions on Services Computing, IEEE Computer
Society, Los Alamitos, CA.
Secure Construction and Publication of Contingency
Tables from Distributed Data,
Xiaoyun He, Haibing Lu, Jaideep Vaidya, and Nabil Adam, Journal
of Computer Security, 19(3), pp. 453-484, May 2011, IOS Press, NL.
Similar Document Detection with Limited Information
Disclosure, Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si,
and Jaideep Vaidya, International Journal of Very Large Data
Bases (VLDB Journal), 19(4), pp. 457-475, August, 2010, VLDB Endowment.
Privacy Preserving Integration of Health Care Data, Xiaoyun
He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, Thomas White,
International Journal of Computational Models and Algorithms in
Medicine, 1(2), special issue on Privacy and Security Issues for Medical
Data, pp. 22-36, 2010, IGI Global.
Spatial neighborhood based anomaly detection in sensor datasets
Vandana Janeja, Nabil R. Adam, Vijayalakshmi Atluri and Jaideep
Vaidya, Data Mining and Knowledge Discovery, special issue on
Outlier Detection, 20(2), March 2010, pp. 221-258, Springer.
A Unified Index Structure for Efficient Enforcement of Spatiotemporal Authorizations Vijayalakshmi Atluri, Qi Guo, Heechang Shin, and
Jaideep Vaidya, International Journal of Information and
Computer Security, 4(2), August 2010, pp. 118 - 151, Inderscience.
Role Engineering via Prioritized Subset Enumeration. Jaideep
Vaidya, Vijayalakshmi Atluri, Janice Warner, and Qi Guo, IEEE Transactions on Dependable
and Secure Computing, 7(3), pp. 300-314, July-September,
2010, IEEE Computer Society. (Bib).
The Role Mining Problem: A Formal Perspective, Jaideep Vaidya, Vijayalakshmi Atluri, and Qi Guo,
ACM Transactions on Information Systems Security, 13(3), pp. 1-31,
2010, ACM. (Invited extension of SACMAT '07 paper). (Bib).
Anonymization Models for Directional Location Based
Service Environments, Heechang Shin, Jaideep Vaidya, and
Vijayalakshmi Atluri, Computers and Security, 29(1), pp. 59-73,
February 2010, Elsevier.
(Bib).
Privacy
Preserving SVM Classification.
Jaideep Vaidya, Hwanjo Yu and
Xiaoqian Jiang, in Knowledge and Information Systems, Springer, 14(2),
pp. 161-178, February, 2008. (Bib).
Differentially Private Search Log Sanitization with Optimal Output
Utility, Yuan Hong, Jaideep Vaidya, Haibing Lu, and Mingrui
Wu, in Proceedings of the 15th International Conference on Extending
Database Technology (EDBT), March 26-30, 2012, Berlin, Germany.
Feasibility of a privacy preserving collaborative filtering scheme
on the Google App Engine - a performance case study,
Anirban Basu, Jaideep Vaidya, Theo Dimitrakos, and Hiroaki
Kikuchi, in Proceedings of the 27th ACM Symposium on Applied Computing
(SAC), Cloud Computing Track, Mar 26-30, 2012, Trento, Italy.
Role Engineering: From Theory to Practice, Nino Verde,
Jaideep Vaidya, Vijayalakshmi Atluri, Alessandro Colantonio, in
Proceedings of the Second ACM Conference on Data and Application
Security and Privacy (CODASPY '12), Feb 7-9, 2012, San Antonio, TX,
USA.
Privacy-preserving collaborative filtering for the cloud,
Anirban Basu, Jaideep Vaidya, Hiroaki Kikuchi, and Theo
Dimitrakos, in Proceedings of the Third IEEE International Conference
on Cloud Computing Technology and Science (CloudCom '11), Nov 29 - Dec
1, 2011, Athens, Greece.
Privacy-preserving Tabu Search for Distributed Graph Coloring,
Yuan Hong, Jaideep Vaidya, Haibing Lu, and Basit Shafiq, in
Proceedings of the Third IEEE International Conference on
Information Privacy, Security, Risk and Trust (PASSAT '11), October
9-11, 2011, MIT, Boston, USA.
Search Engine Query Clustering using Top-k Search Results, Yuan
Hong, Jaideep Vaidya, and Haibing Lu, in Proceedings of the
Tenth IEEE/WIC/ACM International Conference on Web Intelligence (WI
'11), August 22-27, 2011, Campus Scientifique de la Doua, Lyon,
France.
An Optimization Model for the Extended Role Mining Problem,
Emre Uzun, Vijayalakshmi Atluri, Haibing Lu, and Jaideep
Vaidya, in Proceedings of the 25th Annual IFIP WG 11.3 Working
Conference on Data and Applications Security and Privacy (DBSEC '11),
July 11-13, 2011, Richmond, VA, USA.
Efficient Distributed Linear Programming with Limited
Disclosure, Yuan Hong, Jaideep Vaidya, and Haibing Lu, in
Proceedings of the 25th Annual IFIP WG 11.3 Working Conference on Data
and Applications Security and Privacy (DBSEC '11), July 11-13, 2011,
Richmond, VA, USA.
Privacy Preserving weighted Slope One predictor for Item-based
Collaborative Filtering, Anirban Basu, Hiroaki Kikuchi, and
Jaideep Vaidya, Proceedings of the International Workshop on
Trust and Privacy in Distributed Information Processing (workshop at
the IFIPTM 2011), Copenhagen, Denmark, 2011.
UICDS-based Information Sharing among Emergency Response
Application Systems, Vijaylakshmi Atluri, Basit Shafiq, Soon Ae
Chun, Ghulam Nabi and Jaideep Vaidya, in Proceedings of the
12th Annual International Conference on Digital Government Research
(dg.o 2011), June 12-15 2011, University of Maryland, College Park,
MD, USA. (Demo Paper - Best Demo or Poster Award)
Weighted Rank-One Binary Matrix Factorization, Haibing Lu,
Jaideep Vaidya, Vijayalakshmi Atluri, Heechang Shin, and Lili
Jiang, in Proceedings of the Eleventh SIAM International Conference on
Data Mining (SDM '11), April 28-30, 2011, Phoenix, Arizona, USA.
Identifying a Critical Threat to Privacy through Automatic Image
Classification, David Lorenzi, and Jaideep Vaidya, in Proceedings
of the First ACM Conference on Data and Application Security and
Privacy (CODASPY 2011), Feb 21-23, 2011, San Antonio, TX, USA.
Information Sharing Infrastructure for Pharmaceutical Supply Chain
Management in Emergency Response, Vijayalakshmi Atluri, Basit Shafiq,
Jaideep Vaidya, Soon Chun, Michael Trocchia, Nabil Adam, Christopher
Doyle and Lawrence Skelly, in Proceedings of the 2010 IEEE
International Conference on Technologies for Homeland Security, 8-10
November 2010, Westin Hotel, Waltham, MA.
Integrated Resource and Logistics Management through Secure
Information Sharing for Effective Emergency Response,
Vijayalakshmi Atluri, Soon Chun, John Ellenberger, Basit Shafiq, and
Jaideep Vaidya, Workshop on Emergency Management: Incident,
Resource, and Supply Chain Management (EMWS09), November 5-6,
2009, Irvine CA.
Reachability Analysis in Privacy-Preserving Perturbed Graphs,
Xiaoyun He, Jaideep Vaidya, Basit Shafiq, Nabil Adam, and Xiaodong
Lin, in Proceedings of the 2010 IEEE/WIC/ACM International Conference
on Web Intelligence, August 31 - September 3, 2010, York University,
Toronto, Canada.
Role Mining in the Presence of Noise, Jaideep Vaidya,
Vijayalakshmi Atluri, Qi Guo, and Haibing Lu, in Proceedings of the
24th Annual IFIP WG 11.3 Working Conference on Data and Applications
Security (DBSEC '10), June 21-23, 2010, Rome, Italy.
Privacy-preserving Trust Verification, Jaideep Vaidya,
Vijayalakshmi Atluri, Basit Shafiq, and Nabil Adam, in Proceedings of
the 15th ACM Symposium on Access Control Models and Technologies
(SACMAT '10), June 9-11, 2010, Pittsburgh, PA, USA.
Information Sharing among Incident Management Systems using
UICDS, Basit Shafiq, Jaideep Vaidya, Vijayalakshmi Atluri,
and Soon Chun, in Proceedings of the 11th Annual Conference on Digital
Government Research (DGO '10), May 17-20, 2010, Puebla, Mexico.
Extended Boolean Matrix Decomposition, Haibing Lu, Jaideep
Vaidya, Vijayalakshmi Atluri, and Yuan Hong in
Proceedings of the 2009 IEEE International Conference on Data Mining
(ICDM '09), December 6-9, 2009, Miami, Florida, USA.
Effective Anonymization of Query Logs, Yuan Hong, Xiaoyun He,
Jaideep Vaidya, Nabil Adam, and Vijayalakshmi Atluri, in
Proceedings of the 18th ACM Conference on Information and
Knowledge Management (CIKM '09), November 2-6, 2009, Hong Kong, China.
(Bib).
Preserving Privacy in
Social Networks: A Structure-Aware Approach, Xiaoyun He,
Jaideep Vaidya, Basit Shafiq, Nabil Adam, and Vijayalakshmi
Atluri, in Proceedings of the 2009 IEEE/WIC/ACM International
Conference on Web Intelligence (WI-09), September 15-18, 2009,
Milan, Italy.
Efficient
Privacy-Preserving Link Discovery, Xiaoyun He,
Jaideep Vaidya, Basit Shafiq, Nabil Adam, Evimaria Terzi, and Tyrone
Grandison, in Proceedings of the 13th Pacific-Asia Conference on
Knowledge Discovery and Data Mining (PAKDD-09) , April 27-30, 2009,
Bangkok, Thailand.
Privacy-Preserving Linear
Programming, Jaideep Vaidya, in
Proceedings of the 24th Annual ACM Symposium on Applied Computing,
Security Track, March 8-12, 2009, Honolulu, Hawaii, USA. (Bib).
Towards a holistic approach to privacy-preserving data
analysis, Jaideep Vaidya, in Proceedings of the 2008
Workshop on Secure Knowledge Management, Richardson, TX, USA. (Bib).
Ontology Driven Resource Management for Emergency Response ,
Basit Shafiq, Nabil Adam, Vijay Atluri, Jaideep Vaidya, and
Soon Ae Chun, in Proceedings of the 2008
Workshop on Secure Knowledge Management, Richardson, TX, USA. (Bib).
Secure Construction of
Contingency Tables from Distributed Data, Haibing Lu,
Xiaoyun He, Jaideep Vaidya, and Nabil Adam, in Proceedings of
the 22nd Annual IFIP WG 11.3 Working Conference on Data and
Applications Security (DBSEC '08), July 13-16, 2008, London, UK.
(Bib).
Migrating to Optimal
RBAC with Minimal Perturbation, Jaideep Vaidya, Vijayalakshmi
Atluri, Qi Guo, and Nabil Adam, in Proceedings of the 13th ACM
Symposium on Access Control Models and Technologies (SACMAT), June
11-13, 2008, Estes Park, Colorado, USA. (Bib).
Secure Information Sharing
and Analysis for Effective Emergency Management, Nabil Adam,
Vijayalakshmi Atluri, Soon Ae Chun, John Ellenberger, Basit Shafiq,
Jaideep Vaidya, and Hui Xiong, in Proceedings of the 9th Annual
International Conference on Digital Government Research, May 18-21,
2008, Montreal, Canada. (Bib).
Privacy-preserving Link
Discovery, Xiaoyun He, Basit Shafiq, Jaideep Vaidya, and Nabil
Adam, in Proceedings of the 23rd Annual ACM Symposium on Applied
Computing, Data Mining Track, March 16-20, 2008, Fortaleza, Ceara,
Brazil. (Bib).
Privacy Preserving Integration of Health Care Data, Nabil Adam,
Thomas White, Basit Shafiq, Jaideep Vaidya, and Xiaoyun He, American
Medical Informatics Association 2007 Annual Symposium, November 10-14,
2007, Chicago, Illinois.
RoleMiner: Mining Roles
using Subset Enumeration, Jaideep Vaidya, Vijay Atluri, and
Janice Warner, in Proceedings of the 13th ACM Conference on Computer
and Communications Security, October 30-November 3, 2006, Alexandria,
VA, USA. (Bib).
Collusion Set Detection through Outlier Discovery,
Vandana Janeja,
Vijay Atluri,
Jaideep Vaidya and
Nabil R. Adam,
in Proceedings of the IEEE International Conference on Intelligence and
Security Informatics, May 19-20,
2005, Atlanta, GA.
Privacy Preserving Top-K
Queries, Jaideep Vaidya and
Chris Clifton, in
Proceedings of the 2005 IEEE International Conference on Data
Engineering, April 2005, Tokyo, Japan. (Bib).
Knowledge Discovery
from Transportation Graph Data,
Wei Jiang, Jaideep
Vaidya, Zahir Balaporia,
Chris Clifton,
and Brett Banich, in Proceedings of the 2005 IEEE International Conference on Data
Engineering, April 2005, Tokyo, Japan. Best Industrial Paper award.
(Bib).
Privacy Preserving
Outlier Detection, Jaideep Vaidya and
Chris
Clifton, in Proceedings of the 2004 IEEE International Conference on Data Mining,
November 2004, Brighton, UK. (Bib).
Privacy Preserving Data
Integration and Sharing.
Chris Clifton, AnHai Doan, Ahmed Elmagarmid, Murat Kantarcioglu,
Gunther Schadow, Dan Suciu, and Jaideep Vaidya, in
The Ninth ACM SIGMOD
Workshop on Research Issues in Data Mining and Knowledge Discovery,
June 13, 2004, Maison de la Chimie, Paris, France.
Leveraging the "Multi" in Secure
Multi-Party Computation.
Jaideep Vaidya and Chris Clifton,
in Proceedings of the Workshop on Privacy in the Electronic Society
held in association with The Tenth ACM Conference on Computer
and Communications Security, October 27 - 31, 2003,
Washington, D.C. (Bib).
Privacy-Preserving K-Means
Clustering over Vertically Partitioned Data.
Jaideep Vaidya and Chris Clifton,
in Proceedings of the The Ninth ACM SIGKDD International
Conference on Knowledge Discovery and Data Mining, August 24 -
27, 2003, Washington, D.C.
Honorable mention (runner up), best research paper.
(Bib).
(Revised paper invited for submission at Interface '04).
Using Secure-coprocessor for Creating Efficient Privacy-Preserving
Distributed Data Mining Toolbox. Murat Kantarcioglu, Jaideep Vaidya
and Chris Clifton, in International Workshop on Privacy and Security
Issues in Data Mining held in conjuction with ECML/PKDD 2004,
September 20, 2004, Italy. Invited paper.
Defining Privacy for Data
Mining.
Chris Clifton and Murat Kantarcioglu and
Jaideep Vaidya, in
Proceedings of the National Science Foundation Workshop on Next
Generation Data Mining, November 1-3, 2002, Baltimore, MD. Invited paper.
Automating Security Configuration and Administration: An Access
Control Perspective, Winter 2011 Security and Privacy Day, New
Jersey Institute of Technology, December 2, 2011.
The Role Mining Problem - A formal perspective, University of
Maryland, Baltimore County, June 15, 2011.
The Role Mining Problem - A formal perspective, Arizona State University, April 28, 2011.
Privacy-preserving Graph Analysis, Tokai
University, Tokyo, Japan, November 26, 2010.
Automated Security Configuration and Administration --
An Access Control Perspective, Keynote at the 5th International
Workshop on Security (IWSEC 2010), November 22-24, 2010, Kobe,
Japan.
Role Engineering and Role Mining, Tutorial at the 5th International
Conference on Information Systems Security (ICISS 2009), 14-18
December 2009, Eastern Zone Cultural Center, Kolkata, India.
The Role Mining Problem - A Formal Perspective, University of
Pittsburgh, Pittsburgh, PA, February 13, 2009.
Effective Query Log Anonymization, Google, Inc., Mountain View,
CA, December 8, 2008.
The Role Mining Problem - A Formal Perspective, Syracuse
University, Syracuse, NY, December 3, 2008.
The Role Mining Problem - A Formal Perspective, University of
Texas at San Antonio, San Antonio, TX, November 5, 2008.
The Role Mining Problem - A Formal Perspective, Stevens Institute
of Technology, Hoboken, NJ, October 20, 2008.
Role Engineering and the Role Mining Problem, University of
Texas at Dallas, Dallas, TX, September 17, 2007.
Role Engineering and the Role Mining Problem, Tata Research
Design & Development Center, August 1, 2007, Pune, India.
Privacy-Preserving Data Mining
at the Tata Research Design & Development Center, Pune, India, June 21, 2005
Privacy-Preserving Collaboration - Supply Chain, Transportation
Logistics, and Other problems,
Supply Chain Management Research Seminar Series, Rutgers Business School,
Newark, NJ, April 28, 2005.
Privacy Preserving K-Means Clustering on Vertically Partitioned Data,
invited talk at Interface
'04, the best of data mining at KDD session, Baltimore, Maryland, May 27, 2004.
The Twenty-First Conference on Computers, Freedom, and Privacy, June
14-16, 2011, Washington, DC.
2009 IEEE/WIC/ACM International Conference on Web
Intelligence, September 15-18, Milan, Italy.
Program Committee
The 6th International Conference on Network and System Security,
November 21-23, 2012, Fujian, China.
The Fourth IEEE International Conference on Privacy, Security, Risk and
Trust (PASSAT), September 3-6, 2012, Amsterdam, NL.
The 38th International Conference on Very Large Data Bases (VLDB
2012), August 27-31, 2012, Istanbul, Turkey.
The 18th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD-2012) August 12-16, 2012, Beijing, China.
The 12th Annual International Conference on Digital Government
Research (DGO '12), June 4-7, 2012, College Park, MD, USA.
The 17th European Symposium on Research in Computer Security (ESORICS
2012), September 10-12, 2012, Pisa, Italy.
The 17th ACM Symposium on Access Control Models and Technologies
(SACMAT 2012), June 20-22, 2012, Newark, NJ, USA.
The 10th International Conference on Applied Cryptography and Network
Security (ACNS 2012), June 26-29, 2012, Singapore.
The 21st International Conference on World Wide Web, WWW 2012, Posters
Track, April 16-20, 2012, Lyon, France.
The Second ACM Conference on Data and Application Security and
Privacy (CODASPY), February 8-10, 2012, San Antonio, TX, USA.
The Third IEEE International Conference on Privacy, Security, Risk and
Trust (PASSAT), October 9-11, 2011, MIT, Boston, USA.
The 5th International Conference on Network and System Security,
September 6-8, 2011, Milan, Italy.
The International workshop on Trust and Privacy in Distributed Information
Sharing 2011 (TP-DIS 2011) colocated with IFIPTM 2011, 28 June 2011,
Copenhagen, Denmark.
The 17th ACM SIGKDD Conference on Knowledge Discovery and Data Mining
(KDD-2011) August 21-24, 2011, San Diego, CA USA.
The 16th European Symposium on Research in Computer Security
(ESORICS'11), September 12-14, 2011, Leuven, Belgium.
The 25th Annual WG 11.3 Conference on Data and Applications Security
and Privacy (DBSec'11), July 11-13, 2011, Richmond, Virginia USA.
The 16th ACM Symposium on Access Control Models and Technologies
(SACMAT 2011), June 15-17, 2011, Innsbruck, Austria.
The 12th Annual International Conference on Digital Government
Research (dg.o 2011), June 12-15, 2011, College Park, MD, USA.
The 20th International World Wide Web Conference (WWW '11), March 28 -
April 3, Hyderabad, India.
The 10th IEEE International Conference on Data Mining (ICDM '10),
December 13-17, 2010, Sydney, Australia.
2010 Workshop on Privacy in the Electronic Society (WPES '10), in
conjunction with the 17th ACM Conference on Computer and
Communications Security (CCS '10), October 4, 2010, Chicago, USA .
The 2nd International Symposium on Data, Privacy, and E-Commerce
(ISDPE '10), September 13-14, 2010, Buffalo/Niagara Falls, NY, USA.
The 16th ACM SIGKDD International Conference on Knowledge
Discovery and Data Mining (KDD '10), July 25-28, 2010, Washington, DC,
USA.
The 24th Annual IFIP WG 11.3 Working Conference on Data and Applications
Security (DBSEC '10), June 21-23, 2010, Rome, Italy.
The 15th ACM Symposium on Access Control Models and Technologies
(SACMAT '10), June 9-11, 2010, Pittsburgh, PA, USA.
The 5th International Conference on Information Technology (FutureTech
2010), Security and Trust Computing Track, May 21-23, 2010, Busan,
Korea.
The 11th Annual International Conference on Digital Government
Research (DGO '10), May 17-20, 2010, Puebla, Mexico.
2009 Workshop on Privacy in the Electronic Society (WPES '09), in
conjunction with the 16th ACM Conference on Computer and
Communications Security (CCS '09), November 9, 2009, Chicago, USA .
