Keke Chen

ORCID

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 50

Top Venues

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

Sujuan Fan, Keke Chen, Junfeng Tian
A novel image encryption algorithm based on coupled map lattices model. Multim. Tools Appl. 83 (4) (2024)
A. K. M. Mubashwir Alam, Keke Chen
TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis. Frontiers Big Data 6 (2024)
Mrinal Kanti Dhar, Chuanbo Wang, Yash Patel, Taiyu Zhang, Jeffrey A. Niezgoda, Sandeep Gopalakrishnan, Keke Chen, Zeyun Yu
Wound Tissue Segmentation in Diabetic Foot Ulcer Images Using Deep Learning: A Pilot Study. CoRR (2024)
Yuechun Gu, Keke Chen
GAN-Based Domain Inference Attack. AAAI (2023)
Keke Chen, Xiangbo Shu, Guo-Sen Xie, Rui Yan, Jinhui Tang
Foreground/Background-Masked Interaction Learning for Spatio-temporal Action Detection. ACM Multimedia (2023)
Sagar Sharma, Yuechun Gu, Keke Chen
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning. CoRR (2023)
Yuechun Gu, Keke Chen
Adaptive Domain Inference Attack. CoRR (2023)
Keke Chen
Confidential High-Performance Computing in the Public Cloud. IEEE Internet Comput. 27 (1) (2023)
Yuechun Gu, Sagar Sharma, Keke Chen
Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning. CCS (2023)
A. K. M. Mubashwir Alam, Keke Chen
Making Your Program Oblivious: A Comparative Study for Side-channel-Safe Confidential Computing. CLOUD (2023)
AKM Mubashwir Alam, Justin Boyce, Keke Chen
SGX-MR-Prot: Efficient and Developer-Friendly Access-Pattern Protection in Trusted Execution Environments. CoRR (2023)
A. K. M. Mubashwir Alam, Keke Chen
Making Your Program Oblivious: a Comparative Study for Side-channel-safe Confidential Computing. CoRR (2023)
A. K. M. Mubashwir Alam, Justin Boyce, Keke Chen
Demo: SGX-MR-Prot: Efficient and Developer-Friendly Access-Pattern Protection in Trusted Execution Environments. ICDCS (2023)
Keke Chen, Yuechun Gu, Sagar Sharma
DisguisedNets: Secure Image Outsourcing for Confidential Model Training in Clouds. ACM Trans. Internet Techn. 23 (3) (2023)
Zhi Cao, Weijing Zhang, Keke Chen, Di Zhao, Daoqiang Zhang, Hongen Liao, Fang Chen
Thinking Like Sonographers: A Deep CNN Model for Diagnosing Gout from Musculoskeletal Ultrasound. MICCAI (6) (2023)
Keke Chen
Confidential High-Performance Computing in the Public Cloud. CoRR (2022)
Yuechun Gu, Keke Chen
GAN-based Domain Inference Attack. CoRR (2022)
Sagar Sharma, Keke Chen
Confidential machine learning on untrusted platforms: a survey. Cybersecur. 4 (1) (2021)
A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. Proc. Priv. Enhancing Technol. 2021 (1) (2021)
Jinchao Chen, Keke Chen, Chenglie Du, Yifan Liu
Design and implementation of a virtual ARINC 653 simulation platform. Simul. 97 (6) (2021)
Patrick P. K. Chan, Keke Chen, Linyi Xu, Xiaoman Hu, Daniel S. Yeung
Weakly Supervised Semantic Segmentation with Patch-Based Metric Learning Enhancement. ICANN (3) (2021)
Keke Chen, Patrick P. K. Chan, Tianyi Xiang, Natasha Kees, Daniel S. Yeung
Class-Specific Affinity based Weakly Supervised Semantic Segmentation with Neutral Region Exploration. IJCNN (2021)
Prem Bhusal, A. K. M. Mubashwir Alam, Keke Chen, Ning Jiang, Jun Xiao
Scalable Sequence Clustering for Large-Scale Immune Repertoire Analysis. IEEE BigData (2021)
Sagar Sharma, A. K. M. Mubashwir Alam, Keke Chen
Image Disguising for Protecting Data and Model Confidentiality in Outsourced Deep Learning. CLOUD (2021)
A. K. M. Mubashwir Alam, Sagar Sharma, Keke Chen
SGX-MR: Regulating Dataflows for Protecting Access Patterns of Data-Intensive SGX Applications. CoRR (2020)
Sagar Sharma, Keke Chen
Confidential Machine Learning on Untrusted Platforms: A Survey. CoRR (2020)
Keke Chen, Patrick P. K. Chan, Fei Zhang, Qiaoqiao Li
Shilling attack based on item popularity and rated item correlation against collaborative filtering. Int. J. Mach. Learn. Cybern. 10 (7) (2019)
Jinchao Chen, Chenglie Du, Xu Lu, Keke Chen
Multi-region Coverage Path Planning for Heterogeneous Unmanned Aerial Vehicles Systems. SOSE (2019)
Sagar Sharma, Keke Chen
Disguised-Nets: Image Disguising for Privacy-preserving Deep Learning. CoRR (2019)
Shreyansh P. Bhatt, Swati Padhee, Amit P. Sheth, Keke Chen, Valerie L. Shalin, Derek Doran, Brandon S. Minnery
Knowledge Graph Enhanced Community Detection and Characterization. WSDM (2019)
Shreyansh P. Bhatt, Keke Chen, Valerie L. Shalin, Amit P. Sheth, Brandon S. Minnery
Who Should Be the Captain This Week?Leveraging Inferred Diversity-Enhanced Crowd Wisdom for a Fantasy Premier League Captain Prediction. ICWSM (2019)
Sagar Sharma, James Powers, Keke Chen
PrivateGraph: Privacy-Preserving Spectral Analysis of Encrypted Graphs in the Cloud. IEEE Trans. Knowl. Data Eng. 31 (5) (2019)
Sagar Sharma, Keke Chen
Confidential Boosting with Random Linear Classifiers for Outsourced User-Generated Data. ESORICS (1) (2019)
Sagar Sharma, Keke Chen, Amit P. Sheth
Towards Practical Privacy-Preserving Analytics for IoT and Cloud Based Healthcare Systems. CoRR (2018)
Sagar Sharma, Keke Chen
Privacy-Preserving Boosting with Random Linear Classifiers. CCS (2018)
Sagar Sharma, Keke Chen
Privacy-Preserving Boosting with Random Linear Classifiers for Learning from User-Generated Data. CoRR (2018)
Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
Shilling Attack Detection Using Rated Item Correlation for Collaborative Filtering. SMC (2018)
Keke Chen, Bharath Avusherla, Sarah Allison, Vincent Schmidt
SPIN: cleaning, monitoring, and querying image streams generated by ground-based telescopes for space situational awareness. Int. J. Data Sci. Anal. 5 (2-3) (2018)
Sagar Sharma, Keke Chen, Amit P. Sheth
Toward Practical Privacy-Preserving Analytics for IoT and Cloud-Based Healthcare Systems. IEEE Internet Comput. 22 (2) (2018)
Keke Chen, Patrick P. K. Chan, Daniel S. Yeung
Unsupervised Shilling Attack Detection Model Based on Rated Item Correlation Analysis. ICMLC (2018)
Sagar Sharma, Keke Chen
Image Disguising for Privacy-preserving Deep Learning. CCS (2018)
Keke Chen, Shumin Guo
RASP-Boost: Confidential Boosting-Model Learning with Perturbed Data in the Cloud. IEEE Trans. Cloud Comput. 6 (2) (2018)
Sagar Sharma, Keke Chen
PrivateGraph: A Cloud-Centric System for Spectral Analysis of Large Encrypted Graphs. ICDCS (2017)
Wenbo Wang, Lu Chen, Keke Chen, Krishnaprasad Thirunarayan, Amit P. Sheth
Adaptive training instance selection for cross-domain emotion identification. WI (2017)
Lu Zhou, Wenbo Wang, Keke Chen
Tweet Properly: Analyzing Deleted Tweets to Understand and Identify Regrettable Ones. WWW (2016)
Keke Chen, Venkata Sai Abhishek Gogu, Di Wu, Jiang Ning
COLT: COnstrained Lineage Tree Generation from sequence data. BIBM (2016)
Shen Yan, Shiran Pan, Wen Tao Zhu, Keke Chen
DynaEgo: Privacy-Preserving Collaborative Filtering Recommender System Based on Social-Aware Differential Privacy. ICICS (2016)
Sagar Sharma, James Powers, Keke Chen
Privacy-Preserving Spectral Analysis of Large Graphs in Public Clouds. AsiaCCS (2016)
Lu Zhou, Wenbo Wang, Keke Chen
Identifying Regrettable Messages from Tweets. WWW (Companion Volume) (2015)
Zohreh Alavi, Sagar Sharma, Lu Zhou, Keke Chen
Scalable Euclidean Embedding for Big Data. CLOUD (2015)
Huiqi Xu, Shumin Guo, Keke Chen
Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation. IEEE Trans. Knowl. Data Eng. 26 (2) (2014)
Keke Chen, James Powers, Shumin Guo, Fengguang Tian
CRESP: Towards Optimal Resource Provisioning for MapReduce Computing in Public Clouds. IEEE Trans. Parallel Distributed Syst. 25 (6) (2014)
Keke Chen
Optimizing star-coordinate visualization models for effective interactive cluster exploration on big data. Intell. Data Anal. 18 (2) (2014)
Zohreh Alavi, Lu Zhou, James Powers, Keke Chen
RASP-QS: Efficient and Confidential Query Services in the Cloud. Proc. VLDB Endow. 7 (13) (2014)
Keke Chen, Shumin Guo
PerturBoost: Practical Confidential Classifier Learning in the Cloud. ICDM (2013)
James Powers, Keke Chen
Secure Computation of Top-K Eigenvectors for Shared Matrices in the Cloud. IEEE CLOUD (2013)
Huiqi Xu, Shumin Guo, Keke Chen
Building Confidential and Efficient Query Services in the Cloud with RASP Data Perturbation CoRR (2012)
Shumin Guo, Keke Chen
Mining Privacy Settings to Find Optimal Privacy-Utility Tradeoffs for Social Network Services. SocialCom/PASSAT (2012)
Huiqi Xu, Zhen Li, Shumin Guo, Keke Chen
CloudVista: Interactive and Economical Visual Cluster Analysis for Big Data in the Cloud. Proc. VLDB Endow. 5 (12) (2012)
James Powers, Keke Chen
Secure MapReduce Power Iteration in the Cloud CoRR (2012)
Shumin Guo, Keke Chen
Privacy preserving boosting in the cloud with secure half-space queries. CCS (2012)
Jinpeng Wei, Calton Pu, Keke Chen
Flying under the radar: maintaining control of kernel without changing kernel code or persistent data structures. CSIIRW (2011)
Fengguang Tian, Keke Chen
Towards Optimal Resource Provisioning for Running MapReduce Programs in Public Clouds. IEEE CLOUD (2011)
Keke Chen, Huiqi Xu, Fengguang Tian, Shumin Guo
CloudVista: Visual Cluster Exploration for Extreme Scale Data in the Cloud. SSDBM (2011)
Keke Chen, Jing Bai, Zhaohui Zheng
Ranking function adaptation with boosting trees. ACM Trans. Inf. Syst. 29 (4) (2011)
Keke Chen, Ramakanth Kavuluru, Shumin Guo
RASP: efficient multidimensional range query on attack-resilient encrypted databases. CODASPY (2011)
Keke Chen
On Security of the Utility Preserving RASP Encryption. IACR Cryptol. ePrint Arch. 2011 (2011)
Keke Chen, Ling Liu
Geometric data perturbation for privacy preserving outsourced data mining. Knowl. Inf. Syst. 29 (3) (2011)
Jing Bai, Fernando Diaz, Yi Chang, Zhaohui Zheng, Keke Chen
Cross-Market Model Adaptation with Pairwise Preference Data for Web Search Ranking. COLING (Posters) (2010)
Hua Yan, Keke Chen, Ling Liu, Zhang Yi
SCALE: a scalable framework for efficiently clustering transactional data. Data Min. Knowl. Discov. 20 (1) (2010)
Keke Chen, Jing Bai, Srihari Reddy, Belle L. Tseng
On domain similarity and effectiveness of adapting-to-rank. CIKM (2009)
Keke Chen, Ling Liu
"Best K": critical clustering structures in categorical datasets. Knowl. Inf. Syst. 20 (1) (2009)
Hua Yan, Keke Chen, Ling Liu, Joonsoo Bae
Determining the best K. Data Knowl. Eng. 68 (1) (2009)
Keke Chen, Ling Liu
HE-Tree: a framework for detecting changes in clustering structure for categorical data streams. VLDB J. 18 (6) (2009)
Keke Chen, Ling Liu
Privacy-Preserving Multiparty Collaborative Mining with Geometric Data Perturbation. IEEE Trans. Parallel Distributed Syst. 20 (12) (2009)
Keke Chen, Fengguang Tian
VisGBT: Visually analyzing evolving datasets for adaptive learning. CollaborateCom (2009)
Keke Chen, Ya Zhang, Zhaohui Zheng, Hongyuan Zha, Gordon Sun
Adapting ranking functions to user preference. ICDE Workshops (2008)
Keke Chen, Rongqing Lu, C. K. Wong, Gordon Sun, Larry P. Heck, Belle L. Tseng
Trada: tree based ranking function adaptation. CIKM (2008)
Zhaohui Zheng, Keke Chen, Gordon Sun, Hongyuan Zha
A regression framework for learning ranking functions using relative relevance judgments. SIGIR (2007)
Keke Chen, Ling Liu
Space adaptation: privacy-preserving multiparty collaborative mining with geometric perturbation. PODC (2007)
Keke Chen, Gordon Sun, Ling Liu
Towards Attack-Resilient Geometric Data Perturbation. SDM (2007)
Yongjing Lin, Wenyuan Li, Keke Chen, Ying Liu
Model Formulation: A Document Clustering and Ranking System for Exploring MEDLINE Citations. J. Am. Medical Informatics Assoc. 14 (5) (2007)
Zhaohui Zheng, Hongyuan Zha, Tong Zhang, Olivier Chapelle, Keke Chen, Gordon Sun
A General Boosting Method and its Application to Learning Ranking Functions for Web Search. NIPS (2007)
Keke Chen, Ling Liu
iVIBRATE: Interactive visualization-based framework for clustering large datasets. ACM Trans. Inf. Syst. 24 (2) (2006)
Hua Yan, Keke Chen, Ling Liu
Efficiently clustering transactional data with weighted coverage density. CIKM (2006)
Keke Chen, Ling Liu
Detecting the Change of Clustering Structure in Categorical Data Streams. SDM (2006)
Keke Chen, Ling Liu
The "Best K" for Entropy-based Categorical Data Clustering. SSDBM (2005)
Keke Chen, Ling Liu
Privacy Preserving Data Classification with Rotation Perturbation. ICDM (2005)
Keke Chen, Ling Liu
ClusterMap: labeling clusters in large datasets via visualization. CIKM (2004)
Keke Chen, Ling Liu
VISTA: validating and refining clusters via visualization. Inf. Vis. 3 (4) (2004)
Keke Chen, Ling Liu
Cluster Rendering of Skewed Datasets via Visualization. SAC (2003)
Keke Chen, Ling Liu
A Visual Framework Invites Human into the Clustering Process. SSDBM (2003)
Keke Chen, Ling Liu
Validating and Refining Clusters via Visual Rendering. ICDM (2003)

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Publication Activity (10 Years)

Top Topics

Top Venues

Keke Chen