Keke Chen

发表

iVIBRATE: Interactive visualization-based framework for clustering large datasets

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

A Random Rotation Perturbation Approach to Privacy Preserving Data Classification

Ling Liu, Keke Chen, 2005 .

VISTA : Validating and Refining Clusters via Visualization ( final version )

Keke Chen, 2004 .

Secure Computation of Top-K Eigenvectors for Shared Matrices in the Cloud

Keke Chen, James Powers, 2012, 2013 IEEE Sixth International Conference on Cloud Computing.

Privacy preserving data classification with rotation perturbation

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

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

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

Geometric Methods for Mining Large and Possibly Private Datasets

Keke Chen, Keke Chen, 2006 .

ClusterMap: labeling clusters in large datasets via visualization

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

Vista: Looking Into the Clusters in Very Large Multidimensional Datasets

Keke Chen, Ling Liu, Ling Liu, 2002 .

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.

Image Disguising for Privacy-preserving Deep Learning

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

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

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

SCALE: a scalable framework for efficiently clustering transactional data

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

Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning

Sagar Sharma, A. K. M. Mubashwir Alam, Keke Chen, 2021, 2021 IEEE 14th International Conference on Cloud Computing (CLOUD).

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

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

Confidential machine learning on untrusted platforms: a survey

Keke Chen, Sagar Sharma, 2020, Cybersecurity.

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

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

VISTA: Validating and Refining Clusters Via Visualization

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

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..

Cluster rendering of skewed datasets via visualization

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

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 .

Towards Attack-Resilient Geometric Data Perturbation

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

A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning

Keke Chen, Yuechun Gu, Sagar Sharma, 2022, ArXiv.

Knowledge Graph Enhanced Community Detection and Characterization

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

Adaptive training instance selection for cross-domain emotion identification

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

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

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

Detecting the Change of Clustering Structure in Categorical Data Streams

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

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.

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

Keke Chen, Shumin Guo, Keke Chen, 2018, IEEE Transactions 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..

A Survey of Multiplicative Perturbation for Privacy-Preserving Data Mining

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

Efficiently clustering transactional data with weighted coverage density

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

Confidential High-Performance Computing in the Public Cloud

Keke Chen, 2022, IEEE Internet Computing.

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.

A novel image encryption algorithm based on coupled map lattices model

Keke Chen, Junfeng Tian, Sujuan Fan, 2023, Multim. Tools Appl..

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

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

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.

DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds

Keke Chen, Yuechun Gu, Sagar Sharma, 2023, ACM Trans. Internet Techn..

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

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

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

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

“Best K”: critical clustering structures in categorical datasets

Keke Chen, Ling Liu, 2009, Knowledge and Information Systems.

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

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

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

Validating and refining clusters via visual rendering

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

Towards Finding Optimal Partitions of Categorical Datasets

Ling Liu, Keke Chen, Ling Liu, 2003 .

Under Consideration for Publication in Knowledge and Information Systems " Best K " : Critical Clustering Structures in Categorical Datasets

Ling Liu, Keke Chen, 2022 .

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

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

Role of Hydrogen Bonding on Nonlinear Mechano-Optical Behavior of L-Phenylalanine-based Poly(ester urea)s.

Keke Chen, M. Becker, G. Guzmán, 2017 .

Making Your Program Oblivious: A Comparative Study for Side-channel-Safe Confidential Computing

Keke Chen, A. M. Alam, 2023, 2023 IEEE 16th International Conference on Cloud Computing (CLOUD).