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ORCIDChris Clifton
Christopher W. Clifton
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- affiliation: Purdue University, West Lafayette, USA
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2020 – today
- 2022
[j37]Chris Clifton, Eric J. Hanson
, Keith Merrill, Shawn Merrill:
Differentially Private k-Nearest Neighbor Missing Data Imputation. ACM Trans. Priv. Secur. 25(3): 16:1-16:23 (2022)- [c86]Chowdhury Mohammad Rakin Haider, Chris Clifton, Yan Zhou:
Unfair AI: It Isn't Just Biased Data. ICDM 2022: 957-962 - [i10]Chris Clifton, Bradley A. Malin, Anna Oganian, Ramesh Raskar, Vivek Sharma:
A Roadmap for Greater Public Use of Privacy-Sensitive Government Data: Workshop Report. CoRR abs/2208.01636 (2022) - 2021
- [j36]Farzad Zafarani, Chris Clifton:
Differentially Private Naïve Bayes Classifier Using Smooth Sensitivity. Proc. Priv. Enhancing Technol. 2021(4): 406-419 (2021) - [c85]Sara Gunnarsson, MinKeun Chung, Andreas Johansson, Liang Liu, Fredrik Tufvesson, Ove Edfors, Olof Zander, Zhinong Ying, Kamal Samanta, Chris Clifton:
mmWave Massive MIMO in Real Propagation Environment: Performance Evaluation Using LuMaMi28GHz. ACSCC 2021: 80-84 - [i9]Tao Li, Chris Clifton:
Differentially Private Imaging via Latent Space Manipulation. CoRR abs/2103.05472 (2021) - [i8]Yan Zhou, Murat Kantarcioglu, Chris Clifton:
Improving Fairness of AI Systems with Lossless De-biasing. CoRR abs/2105.04534 (2021) - [i7]MinKeun Chung, Liang Liu, Andreas Johansson, Sara Gunnarsson, Martin Nilsson, Zhinong Ying, Olof Zander, Kamal Samanta, Chris Clifton, Toshiyuki Koimori, Shinya Morita, Satoshi Taniguchi, Fredrik Tufvesson, Ove Edfors:
LuMaMi28: Real-Time Millimeter-Wave Massive MIMO Systems with Antenna Selection. CoRR abs/2109.03273 (2021) - 2020
- [c84]Chris Clifton, Eric J. Hanson, Keith Merrill, Shawn Merrill, Amjad Zahraa:
A Partitioned Recoding Scheme for Privacy Preserving Data Publishing. PSD 2020: 49-61 - [i6]Farzad Zafarani, Chris Clifton:
Differentially Private Naïve Bayes Classifier using Smooth Sensitivity. CoRR abs/2003.13955 (2020)
2010 – 2019
- 2019
- [c83]Radhika Bhargava, Chris Clifton:
When Is a Semi-honest Secure Multiparty Computation Valuable? GameSec 2019: 45-64 - 2018
- [j35]Koray Mancuhan, Chris Clifton:
Support vector classification with ℓ-diversity. Comput. Secur. 77: 653-665 (2018) - [c82]Balamurugan Anandan, Chris Clifton:
Differentially Private Feature Selection for Data Mining. IWSPA@CODASPY 2018: 43-53 - [r6]Chris Clifton:
Individually Identifiable Data. Encyclopedia of Database Systems (2nd ed.) 2018 - [r5]Chris Clifton:
Privacy Metrics. Encyclopedia of Database Systems (2nd ed.) 2018 - [r4]Chris Clifton:
Privacy-Preserving Data Mining. Encyclopedia of Database Systems (2nd ed.) 2018 - 2017
- [j34]Koray Mancuhan, Chris Clifton:
Instance-Based Learning with l-diversity. Trans. Data Priv. 10(3): 203-235 (2017) - [c81]Bhavani Thuraisingham, Murat Kantarcioglu, Elisa Bertino, Chris Clifton:
Towards a Framework for Developing Cyber Privacy Metrics: A Vision Paper. BigData Congress 2017: 256-265 - [c80]Balamurugan Anandan, Chris Clifton:
Secure minimum weighted bipartite matching. DSC 2017: 60-67 - [c79]Koray Mancuhan, Chris Clifton:
Statistical Learning Theory Approach for Data Classification with ℓ-diversity. SDM 2017: 651-659 - 2016
- [j33]Lutfi Albasha, Chris Clifton, Yoshikatsu Jingu, Alan Lawrenson, Hideshi Motoyama, Souheil Bensmida, Kevin A. Morris, Kazumasa Kohama:
An Ultra-Wideband Digitally Programmable Power Amplifier With Efficiency Enhancement for Cellular and Emerging Wireless Communication Standards. IEEE Trans. Circuits Syst. I Regul. Pap. 63-I(10): 1579-1591 (2016) - [c78]Christine Task, Chris Clifton:
Differentially Private Significance Testing on Paired-Sample Data. SDM 2016: 153-161 - [i5]Koray Mancuhan, Chris Clifton:
Decision Tree Classification on Outsourced Data. CoRR abs/1610.05796 (2016) - [i4]Koray Mancuhan, Chris Clifton:
Statistical Learning Theory Approach for Data Classification with l-diversity. CoRR abs/1610.05815 (2016) - [i3]Koray Mancuhan, Chris Clifton:
K-Nearest Neighbor Classification Using Anatomized Data. CoRR abs/1610.06048 (2016) - 2015
- [j32]Bechara al Bouna, Chris Clifton, Qutaibah M. Malluhi:
Anonymizing transactional datasets. J. Comput. Secur. 23(1): 89-106 (2015) - [c77]Yvonne Mülle, Chris Clifton, Klemens Böhm:
Privacy-Integrated Graph Clustering Through Differential Privacy. EDBT/ICDT Workshops 2015: 247-254 - [c76]Bechara al Bouna, Chris Clifton, Qutaibah M. Malluhi:
Efficient Sanitization of Unsafe Data Correlations. EDBT/ICDT Workshops 2015: 278-285 - [c75]Balamurugan Anandan, Chris Clifton:
Laplace noise generation for two-party computational differential privacy. PST 2015: 54-61 - 2014
- [j31]Koray Mancuhan, Chris Clifton:
Combating discrimination using Bayesian networks. Artif. Intell. Law 22(2): 211-238 (2014) - [c74]Christopher W. Clifton:
Privacy Beyond Confidentiality. CCS 2014: 1156 - [c73]Amel Hamzaoui, Qutaibah M. Malluhi, Chris Clifton, Ryan D. Riley:
Association Rule Mining on Fragmented Database. DPM/SETOP/QASA 2014: 335-342 - [c72]John Ross Wallrabenstein, Chris Clifton:
Privacy Preserving Tâtonnement - A Cryptographic Construction of an Incentive Compatible Market. Financial Cryptography 2014: 399-416 - [c71]John Ross Wallrabenstein, Chris Clifton:
Realizable Rational Multiparty Cryptographic Protocols. GameSec 2014: 134-154 - [c70]Jaewoo Lee, Christopher W. Clifton:
Top-k frequent itemsets via differentially private FP-trees. KDD 2014: 931-940 - 2013
- [j30]Chris Clifton, Tamir Tassa:
On Syntactic Anonymity and Differential Privacy. Trans. Data Priv. 6(2): 161-183 (2013) - [c69]Bechara al Bouna, Chris Clifton, Qutaibah M. Malluhi:
Using Safety Constraint for Transactional Dataset Anonymization. DBSec 2013: 164-178 - [c68]Ahmet Erhan Nergiz, Chris Clifton, Qutaibah M. Malluhi:
Updating outsourced anatomized private databases. EDBT 2013: 179-190 - [c67]John Ross Wallrabenstein, Chris Clifton:
Equilibrium Concepts for Rational Multiparty Computation. GameSec 2013: 226-245 - [c66]Chris Clifton, Tamir Tassa:
On syntactic anonymity and differential privacy. ICDE Workshops 2013: 88-93 - [c65]Chris Clifton, Balamurugan Anandan:
Challenges and Opportunities for Security with Differential Privacy. ICISS 2013: 1-13 - [c64]Shawn Merrill, Nilgun Basalp, Joachim Biskup, Erik Buchmann, Chris Clifton, Bart Kuijpers, Walied Othman, Erkay Savas:
Privacy through Uncertainty in Location-Based Services. MDM (2) 2013: 67-72 - [c63]Ryan D. Riley, Chris Clifton, Qutaibah M. Malluhi:
Maintaining Database Anonymity in the Presence of Queries. STM 2013: 33-48 - 2012
- [j29]Chris Clifton, Takashi Washio:
Special issue on the best papers of SDM'11. Stat. Anal. Data Min. 5(1): 1-2 (2012) - [j28]Balamurugan Anandan, Chris Clifton, Wei Jiang, Mummoorthy Murugesan, Pedro Pastrana-Camacho, Luo Si:
t-Plausibility: Generalizing Words to Desensitize Text. Trans. Data Priv. 5(3): 505-534 (2012) - [c62]Christine Task, Chris Clifton:
A Guide to Differential Privacy Theory in Social Network Analysis. ASONAM 2012: 411-417 - [c61]Koray Mancuhan, Chris Clifton:
Discriminatory Decision Policy Aware Classification. ICDM Workshops 2012: 386-393 - [c60]Jaewoo Lee, Chris Clifton:
Differential identifiability. KDD 2012: 1041-1049 - [p2]Chris Clifton:
Discovering Privacy. Journeys to Data Mining 2012: 51-59 - [i2]Christopher W. Clifton, Bart Kuijpers, Katharina Morik, Yücel Saygin:
Mobility Data Mining and Privacy (Dagstuhl Seminar 12331). Dagstuhl Reports 2(8): 16-53 (2012) - 2011
- [j27]Murat Kantarcioglu, Bowei Xi, Chris Clifton:
Classifier evaluation and attribute selection against active adversaries. Data Min. Knowl. Discov. 22(1-2): 291-335 (2011) - [j26]Thorben Burghardt, Klemens Böhm, Achim Guttmann, Chris Clifton:
Anonymous Search Histories Featuring Personalized Advertisement - Balancing Privacy with Economic Interests. Trans. Data Priv. 4(1): 31-50 (2011) - [c59]Christopher W. Clifton:
Privacy - Preserving Data Mining at 10: Whats Next? AusDM 2011: 3 - [c58]Ahmet Erhan Nergiz, Chris Clifton:
Query Processing in Private Data Outsourcing Using Anonymization. DBSec 2011: 138-153 - [c57]Balamurugan Anandan, Chris Clifton:
Significance of Term Relationships on Anonymization. Web Intelligence/IAT Workshops 2011: 253-256 - [c56]Jaewoo Lee, Chris Clifton:
How Much Is Enough? Choosing ε for Differential Privacy. ISC 2011: 325-340 - 2010
- [j25]Mehmet Ercan Nergiz, Christopher W. Clifton:
d-Presence without Complete World Knowledge. IEEE Trans. Knowl. Data Eng. 22(6): 868-883 (2010) - [j24]Mummoorthy Murugesan, Wei Jiang, Chris Clifton, Luo Si, Jaideep Vaidya:
Efficient privacy-preserving similar document detection. VLDB J. 19(4): 457-475 (2010) - [c55]Thorben Burghardt, Klemens Böhm, Achim Guttmann, Chris Clifton:
Search-log anonymization and advertisement: are they mutually exclusive? CIKM 2010: 1269-1272 - [c54]Ahmet Erhan Nergiz, Mehmet Ercan Nergiz, Thomas Pedersen, Chris Clifton:
Practical and Secure Integer Comparison and Interval Check. SocialCom/PASSAT 2010: 791-799
2000 – 2009
- 2009
- [j23]Jaideep Vaidya, Christopher W. Clifton:
Privacy-Preserving Kth Element Score over Vertically Partitioned Data. IEEE Trans. Knowl. Data Eng. 21(2): 253-258 (2009) - [j22]Mehmet Ercan Nergiz, Chris Clifton, Ahmet Erhan Nergiz:
Multirelational k-Anonymity. IEEE Trans. Knowl. Data Eng. 21(8): 1104-1117 (2009) - [c53]Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si:
t-Plausibility: Semantic Preserving Text Sanitization. CSE (3) 2009: 68-75 - [c52]Tim Finin, Anupam Joshi, Hillol Kargupta, Yelena Yesha, Joel Sachs, Elisa Bertino, Ninghui Li, Chris Clifton, Gene Spafford, Bhavani Thuraisingham, Murat Kantarcioglu, Alain Bensoussan, Nathan Berg, Latifur Khan, Jiawei Han, ChengXiang Zhai, Ravi S. Sandhu, Shouhuai Xu, Jim Massaro, Lada A. Adamic:
Assured Information Sharing Life Cycle. ISI 2009: 307-309 - [c51]Mummoorthy Murugesan, Chris Clifton:
Providing Privacy through Plausibly Deniable Search. SDM 2009: 768-779 - [r3]Chris Clifton:
Individually Identifiable Data. Encyclopedia of Database Systems 2009: 1471-1472 - [r2]Chris Clifton:
Privacy Metrics. Encyclopedia of Database Systems 2009: 2137-2139 - [r1]Chris Clifton:
Privacy-Preserving Data Mining. Encyclopedia of Database Systems 2009: 2147-2150 - 2008
- [j21]Wei Jiang, Chris Clifton, Murat Kantarcioglu:
Transforming semi-honest protocols to ensure accountability. Data Knowl. Eng. 65(1): 57-74 (2008) - [j20]Chris Clifton, Ananth V. Iyer, Richard Cho, Wei Jiang, Murat Kantarcioglu, Jaideep Vaidya:
An Approach to Securely Identifying Beneficial Collaboration in Decentralized Logistics Systems. Manuf. Serv. Oper. Manag. 10(1): 108-125 (2008) - [j19]Jaideep Vaidya, Chris Clifton, Murat Kantarcioglu, A. Scott Patterson:
Privacy-preserving decision trees over vertically partitioned data. ACM Trans. Knowl. Discov. Data 2(3): 14:1-14:27 (2008) - [j18]Jaideep Vaidya, Murat Kantarcioglu, Chris Clifton:
Privacy-preserving Naïve Bayes classification. VLDB J. 17(4): 879-898 (2008) - [c50]Christopher W. Clifton:
Opportunities for private and secure machine learning. AISec 2008: 31-32 - [c49]Thorben Burghardt, Erik Buchmann, Klemens Böhm, Chris Clifton:
Collaborative Search and User Privacy: How Can They Be Reconciled?. CollaborateCom 2008: 85-99 - [c48]Wei Jiang, Mummoorthy Murugesan, Chris Clifton, Luo Si:
Similar Document Detection with Limited Information Disclosure. ICDE 2008: 735-743 - [p1]Chris Clifton, Wei Jiang, Mummoorthy Murugesan, Mehmet Ercan Nergiz:
Is Privacy Still an Issue for Data Mining? Next Generation of Data Mining 2008 - 2007
- [j17]Mehmet Ercan Nergiz, Chris Clifton:
Thoughts on k-anonymization. Data Knowl. Eng. 63(3): 622-645 (2007) - [c47]Mingwu Zhang, Wei Jiang, Chris Clifton, Sunil Prabhakar:
Identifying Rare Classes with Sparse Training Data. DEXA 2007: 751-760 - [c46]Mehmet Ercan Nergiz, Chris Clifton, Ahmet Erhan Nergiz:
MultiRelational k-Anonymity. ICDE 2007: 1417-1421 - [c45]Wei Jiang, Chris Clifton:
AC-Framework for Privacy-Preserving Collaboration. SDM 2007: 47-56 - [c44]Mehmet Ercan Nergiz, Maurizio Atzori, Chris Clifton:
Hiding the presence of individuals from shared databases. SIGMOD Conference 2007: 665-676 - [e1]Christopher W. Clifton, Xindong Wu, Christos Faloutsos:
TKDE Guidelines for Survey Papers. IEEE Trans. Knowl. Data Eng. 19(11): 1449 (2007) - 2006
- [b1]Jaideep Vaidya, Yu Zhu, Christopher W. Clifton:
Privacy Preserving Data Mining. Advances in Information Security 19, Springer 2006, ISBN 978-0-387-25886-7, pp. 1-121 - [j16]Wei Jiang, Chris Clifton:
A secure distributed framework for achieving k-anonymity. VLDB J. 15(4): 316-333 (2006) - [c43]Mehmet Ercan Nergiz, Chris Clifton:
Thoughts on k-Anonymization. ICDE Workshops 2006: 96 - [c42]Wei Jiang, Chris Clifton:
Transforming Semi-Honest Protocols to Ensure Accountability. ICDM Workshops 2006: 524-529 - 2005
- [j15]Jaideep Vaidya, Chris Clifton:
Secure set intersection cardinality with application to association rule mining. J. Comput. Secur. 13(4): 593-622 (2005) - [j14]Xiaodong Lin, Chris Clifton, Michael Y. Zhu:
Privacy-preserving clustering with distributed EM mixture modeling. Knowl. Inf. Syst. 8(1): 68-81 (2005) - [j13]Mourad Ouzzani, Walid G. Aref, Elisa Bertino, Ann Christine Catlin, Christopher W. Clifton, Wing-Kai Hon, Ahmed K. Elmagarmid, Arif Ghafoor, Susanne E. Hambrusch, Sunil Prabhakar, Jeffrey Scott Vitter, Xiang Zhang:
The Indiana Center for Database Systems at Purdue University. SIGMOD Rec. 34(2): 53-58 (2005) - [c41]Jaideep Vaidya, Chris Clifton:
Privacy-Preserving Decision Trees over Vertically Partitioned Data. DBSec 2005: 139-152 - [c40]Wei Jiang, Chris Clifton:
Privacy-Preserving Distributed k-Anonymity. DBSec 2005: 166-177 - [c39]Murat Kantarcioglu, Chris Clifton:
Security Issues in Querying Encrypted Data. DBSec 2005: 325-337 - [c38]Jaideep Vaidya, Chris Clifton:
Privacy-Preserving Top-K Queries. ICDE 2005: 545-546 - [c37]Wei Jiang, Jaideep Vaidya, Zahir Balaporia, Chris Clifton, Brett Banich:
Knowledge Discovery from Transportation Network Data. ICDE 2005: 1061-1072 - [c36]Bhavani Thuraisingham, Latifur Khan, Chris Clifton, John A. Maurer, Marion G. Ceruti:
Dependable Real-Time Data Mining. ISORC 2005: 158-165 - 2004
- [j12]Jaideep Vaidya, Chris Clifton:
Privacy-Preserving Data Mining: Why, How, and When. IEEE Secur. Priv. 2(6): 19-27 (2004) - [j11]Chris Clifton, Robert Cooley, Jason Rennie:
TopCat: Data Mining for Topic Identification in a Text Corpus. IEEE Trans. Knowl. Data Eng. 16(8): 949-964 (2004) - [j10]Murat Kantarcioglu, Chris Clifton:
Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data. IEEE Trans. Knowl. Data Eng. 16(9): 1026-1037 (2004) - [c35]Chris Clifton, Murat Kantarcioglu, AnHai Doan, Gunther Schadow, Jaideep Vaidya, Ahmed K. Elmagarmid, Dan Suciu:
Privacy-preserving data integration and sharing. DMKD 2004: 19-26 - [c34]Jaideep Vaidya, Chris Clifton:
Privacy-Preserving Outlier Detection. ICDM 2004: 233-240 - [c33]Olujide A. Adeniran, Andreas Demosthenous, Chris Clifton, Sam Atungsiri, Randeep Soin:
A CMOS low-power ADC for DVB-T and DVB-H systems. ISCAS (1) 2004: 209-212 - [c32]Murat Kantarcioglu, Jiashun Jin, Chris Clifton:
When do data mining results violate privacy? KDD 2004: 599-604 - [c31]Murat Kantarcioglu, Chris Clifton:
Privately Computing a Distributed k-nn Classifier. PKDD 2004: 279-290 - [c30]Jaideep Vaidya, Chris Clifton:
Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data. SDM 2004: 522-526 - [i1]Raghu Ramakrishnan, Rakesh Agrawal, Johann-Christoph Freytag, Toni Bollinger, Christopher W. Clifton, Saso Dzeroski, Jochen Hipp, Daniel A. Keim, Stefan Kramer, Hans-Peter Kriegel, Ulf Leser, Bing Liu, Heikki Mannila, Rosa Meo, Shinichi Morishita, Raymond T. Ng, Jian Pei, Prabhakar Raghavan, Myra Spiliopoulou, Jaideep Srivastava, Vicenç Torra:
Data Mining: The Next Generation. Perspectives Workshop: Data Mining: The Next Generation 2004 - 2003
- [j9]Chris Clifton:
Change Detection in Overhead Imagery Using Neural Networks. Appl. Intell. 18(2): 215-234 (2003) - [c29]Murat Kantarcioglu, Chris Clifton:
Assuring privacy when big brother is watching. DMKD 2003: 88-93 - [c28]Jaideep Vaidya, Chris Clifton:
Privacy-preserving k-means clustering over vertically partitioned data. KDD 2003: 206-215 - [c27]Chris Clifton, Irini Fundulaki, Richard Hull, Bharat Kumar, Daniel F. Lieuwen, Arnaud Sahuguet:
Privacy-Enhanced Data Management for Next-Generation e-Commerce. VLDB 2003: 1147 - [c26]Jaideep Vaidya, Chris Clifton:
Leveraging the "Multi" in secure multi-party computation. WPES 2003: 53-59 - [c25]Siddhartha K. Goel, Chris Clifton, Arnon Rosenthal:
Derived access control specification for XML. XML Security 2003: 1-14 - 2002
- [j8]Chris Clifton, Murat Kantarcioglu, Jaideep Vaidya, Xiaodong Lin, Michael Y. Zhu:
Tools for Privacy Preserving Data Mining. SIGKDD Explor. 4(2): 28-34 (2002) - [c24]Murat Kantarcioglu, Chris Clifton:
Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data. DMKD 2002 - [c23]Jaideep Vaidya, Chris Clifton:
Privacy preserving association rule mining in vertically partitioned data. KDD 2002: 639-644 - 2001
- [j7]Chris Clifton, Bhavani Thuraisingham:
Emerging standards for data mining. Comput. Stand. Interfaces 23(3): 187-193 (2001) - [j6]Yücel Saygin, Vassilios S. Verykios, Chris Clifton:
Using Unknowns to Prevent Discovery of Association Rules. SIGMOD Rec. 30(4): 45-54 (2001) - [c22]Chris Clifton, John Griffith, Rod Holland:
GeoNode: An End-to-End System from Research Components. ICDE Demo Sessions 2001: 12-14 - [c21]Bhavani Thuraisingham, Chris Clifton, John A. Maurer, Marion G. Ceruti:
Real-Time Data Mining of Multimedia Objects. ISORC 2001: 360-365 - [c20]Bhavani Thuraisingham, Chris Clifton, Amar Gupta, Elisa Bertino, Elena Ferrari:
Directions for Web and E-Commerce Applications Security. WETICE 2001: 200-204 - 2000
- [j5]Wen-Syan Li, Chris Clifton:
SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data Knowl. Eng. 33(1): 49-84 (2000) - [j4]Chris Clifton:
Using Sample Size to Limit Exposure to Data Mining. J. Comput. Secur. 8(4): 281-307 (2000) - [j3]