Keke Chen

发表

Image Disguising for Privacy-preserving Deep Learning

Sagar Sharma, Keke Chen, Keke Chen, 2018, CCS.

Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning pdf

Keke Chen, Sagar Sharma, 2019, ArXiv.

Under Consideration for Publication in Knowledge and Information Systems Geometric Data Perturbation for Privacy Preserving Outsourced Data Mining

Keke Chen, Ling Liu, Ling Liu, 2010 .

Adaptive training instance selection for cross-domain emotion identification

Amit P. Sheth, Krishnaprasad Thirunarayan, Lu Chen, 2017, WI.

iVIBRATE: Interactive visualization-based framework for clustering large datasets

Keke Chen, Ling Liu, Ling Liu, 2006, ACM Trans. Inf. Syst..

VisGBT: Visually analyzing evolving datasets for adaptive learning

Keke Chen, Fengguang Tian, Keke Chen, 2009, 2009 5th International Conference on Collaborative Computing: Networking, Applications and Worksharing.

Detecting the Change of Clustering Structure in Categorical Data Streams

Keke Chen, Ling Liu, Ling Liu, 2006, SDM.

“Best K”: critical clustering structures in categorical datasets

Keke Chen, Ling Liu, 2008, Knowledge and Information Systems.

Flying under the radar: maintaining control of kernel without changing kernel code or persistent data structures

Calton Pu, Keke Chen, Jinpeng Wei, 2011, CSIIRW '11.

CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud

Zhen Li, Keke Chen, Huiqi Xu, 2012, Proc. VLDB Endow..

SPIN: cleaning, monitoring, and querying image streams generated by ground-based telescopes for space situational awareness

Keke Chen, Sarah Allison, Bharath Avusherla, 2017, International Journal of Data Science and Analytics.

Trada: tree based ranking function adaptation

Larry P. Heck, Chak-Kuen Wong, Keke Chen, 2008, CIKM '08.

A regression framework for learning ranking functions using relative relevance judgments

Hongyuan Zha, Keke Chen, Zhaohui Zheng, 2007, SIGIR.

Geometric Methods for Mining Large and Possibly Private Datasets

Keke Chen, Keke Chen, 2006 .

Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data

Sagar Sharma, Keke Chen, Keke Chen, 2018, ESORICS.

Toward Optimal Resource Provisioning for Economical and Green MapReduce Computing in the Cloud

Keke Chen, James Powers, Fengguang Tian, 2014, Large Scale and Big Data.

COLT: COnstrained Lineage Tree Generation from sequence data

Jiang Ning, Di Wu, Keke Chen, 2016, 2016 IEEE International Conference on Bioinformatics and Biomedicine (BIBM).

Research on the theory and simulation of torsional vibration for CODAD systems

Keke Chen, Xiang Xu, 2014 .

Scalable Euclidean Embedding for Big Data

Keke Chen, Lu Zhou, Sagar Sharma, 2015, 2015 IEEE 8th International Conference on Cloud Computing.

Privacy preserving boosting in the cloud with secure half-space queries

Keke Chen, Shumin Guo, 2012, CCS '12.

ClusterMap: labeling clusters in large datasets via visualization

Keke Chen, Ling Liu, Ling Liu, 2004, CIKM '04.

Validating and refining clusters via visual rendering

Keke Chen, Ling Liu, 2003, Third IEEE International Conference on Data Mining.

Real-time Extension Technologies on the Windows Operation System

Jinchao Chen, Keke Chen, Chenglie Du, 2019, 2019 IEEE 8th Joint International Information Technology and Artificial Intelligence Conference (ITAIC).

Towards Attack-Resilient Geometric Data Perturbation

Keke Chen, Ling Liu, Gordon Sun, 2007, SDM.

Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data pdf

Keke Chen, Sagar Sharma, 2018, ArXiv.

RASP-Boost: Confidential Boosting-Model Learning with Perturbed Data in the Cloud

Keke Chen, Shumin Guo, Keke Chen, 2018, IEEE Transactions on Cloud Computing.

Privacy-Preserving Boosting with Random Linear Classifiers

Sagar Sharma, Keke Chen, 2018, CCS.

PerturBoost: Practical Confidential Classifier Learning in the Cloud

Keke Chen, Shumin Guo, 2013, 2013 IEEE 13th International Conference on Data Mining.

Efficiently clustering transactional data with weighted coverage density

Keke Chen, Ling Liu, Hua Yan, 2006, CIKM '06.

HE-Tree: a framework for detecting changes in clustering structure for categorical data streams

Keke Chen, Ling Liu, Ling Liu, 2009, The VLDB Journal.

Knowledge Graph Enhanced Community Detection and Characterization

Amit P. Sheth, Keke Chen, Derek Doran, 2019, WSDM.

The "Best K" for Entropy-based Categorical Data Clustering

Keke Chen, Ling Liu, Ling Liu, 2005, SSDBM.

Disguised-Nets: Image Disguising for Privacy-preserving Outsourced Deep Learning

Sagar Sharma, Keke Chen, 2019 .

On Security of the Utility Preserving RASP Encryption

Keke Chen, 2011, IACR Cryptol. ePrint Arch..

RASP: efficient multidimensional range query on attack-resilient encrypted databases

Keke Chen, Ramakanth Kavuluru, Shumin Guo, 2011, CODASPY '11.

Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking

Fernando Diaz, Jing Bai, Keke Chen, 2010, COLING.

Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation

Keke Chen, Huiqi Xu, Shumin Guo, 2012, IEEE Transactions on Knowledge and Data Engineering.

CRESP: Towards Optimal Resource Provisioning for MapReduce Computing in Public Clouds

Keke Chen, James Powers, Fengguang Tian, 2014, IEEE Transactions on Parallel and Distributed Systems.

Who Should Be the Captain This Week?Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction

Amit P. Sheth, Keke Chen, Valerie L. Shalin, 2019, ICWSM.

Adapting ranking functions to user preference

Ya Zhang, Hongyuan Zha, Keke Chen, 2008, 2008 IEEE 24th International Conference on Data Engineering Workshop.

SCALE: a scalable framework for efficiently clustering transactional data

Zhang Yi, Keke Chen, Ling Liu, 2009, Data Mining and Knowledge Discovery.

PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs

Sagar Sharma, Keke Chen, 2017, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS).

Multi-region Coverage Path Planning for Heterogeneous Unmanned Aerial Vehicles Systems

Jinchao Chen, Keke Chen, Chenglie Du, 2019, 2019 IEEE International Conference on Service-Oriented System Engineering (SOSE).

Privacy-Preserving Multiparty Collaborative Mining with Geometric Data Perturbation

Keke Chen, Ling Liu, 2009, IEEE Transactions on Parallel and Distributed Systems.

Identifying Regrettable Messages from Tweets

Keke Chen, Lu Zhou, Wenbo Wang, 2015, WWW.

CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud

Keke Chen, Fengguang Tian, Huiqi Xu, 2011, SSDBM.

Ranking function adaptation with boosting trees

Jing Bai, Keke Chen, Zhaohui Zheng, 2011, TOIS.

Confidential Machine Learning on Untrusted Platforms: A Survey pdf

Keke Chen, Sagar Sharma, 2020, ArXiv.

Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems

Amit P. Sheth, Keke Chen, Sagar Sharma, 2018, IEEE Internet Computing.

On domain similarity and effectiveness of adapting-to-rank

Jing Bai, Keke Chen, Belle L. Tseng, 2009, CIKM.

DynaEgo: Privacy-Preserving Collaborative Filtering Recommender System Based on Social-Aware Differential Privacy

Keke Chen, Shen Yan, Wen Tao Zhu, 2016, ICICS.

A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining

Keke Chen, Ling Liu, Ling Liu, 2008, Privacy-Preserving Data Mining.

Cluster rendering of skewed datasets via visualization

Keke Chen, Ling Liu, Ling Liu, 2003, SAC '03.

Secure MapReduce Power Iteration in the Cloud pdf

Keke Chen, James Powers, 2012, ArXiv.

Determining the best K

Keke Chen, Ling Liu, Hua Yan, 2009, Data Knowl. Eng..

A General Boosting Method and its Application to Learning Ranking Functions for Web Search

Hongyuan Zha, Keke Chen, Zhaohui Zheng, 2007, NIPS.

Optimizing star-coordinate visualization models for effective interactive cluster exploration on big data

Keke Chen, Keke Chen, 2014, Intell. Data Anal..

Space adaptation: privacy-preserving multiparty collaborative mining with geometric perturbation

Keke Chen, Ling Liu, 2007, PODC '07.

PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud

Keke Chen, Sagar Sharma, James Powers, 2019, IEEE Transactions on Knowledge and Data Engineering.

Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds

Keke Chen, Sagar Sharma, James Powers, 2016, AsiaCCS.

Privacy preserving data classification with rotation perturbation

Keke Chen, Ling Liu, Ling Liu, 2005, Fifth IEEE International Conference on Data Mining (ICDM'05).

Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis

Patrick P. K. Chan, Daniel S. Yeung, Keke Chen, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

RASP-QS: Efficient and Confidential Query Services in the Cloud

Keke Chen, Lu Zhou, James Powers, 2014, Proc. VLDB Endow..

Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds

Keke Chen, Fengguang Tian, Keke Chen, 2011, 2011 IEEE 4th International Conference on Cloud Computing.

SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications

Keke Chen, Sagar Sharma, A K M Mubashwir Alam, 2020, Proc. Priv. Enhancing Technol..

Design of Virtual Simulation Experiment Platform Based on ARINC 653 Specification

Jinchao Chen, Chenglie Du, Qing Gu, 2020, 2020 IEEE 4th Information Technology, Networking, Electronic and Automation Control Conference (ITNEC).

Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones

Keke Chen, Lu Zhou, Wenbo Wang, 2016, WWW.

Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering

Patrick P. K. Chan, Daniel S. Yeung, Keke Chen, 2018, 2018 IEEE International Conference on Systems, Man, and Cybernetics (SMC).

Poster: Privacy-Preserving Boosting with Random Linear Classifiers

Sagar Sharma, Keke Chen, 2018 .

VISTA: Validating and Refining Clusters Via Visualization

Keke Chen, Ling Liu, Ling Liu, 2004, Inf. Vis..

CS 400/600: Data Structures and Software Design

Keke Chen, 2008 .

Model Formulation: A Document Clustering and Ranking System for Exploring MEDLINE Citations

Keke Chen, Wenyuan Li, Ying Liu, 2007, J. Am. Medical Informatics Assoc..

A visual framework invites human into the clustering process

Keke Chen, Ling Liu, Ling Liu, 2003, 15th International Conference on Scientific and Statistical Database Management, 2003..

Mining Privacy Settings to Find Optimal Privacy-Utility Tradeoffs for Social Network Services

Keke Chen, Shumin Guo, 2012, 2012 International Conference on Privacy, Security, Risk and Trust and 2012 International Confernece on Social Computing.

Confidential Machine Learning on Untrusted Platforms: A Survey

Keke Chen, Sagar Sharma, 2021, Cybersecur..