Dr. Keke Chen

Education

  • Ph D, Computer Science — Georgia Institute of Technology (2006)
    Geometric methods for mining large scale and possibly private data
  • MS, Computer Science — Zhejiang University (1999)
  • BS, Computer Science — Tongji University (1996)

Publications

  • RecPS: Privacy Scoring for Participating in Recommender System Modeling 2025 Proceedings of ACM RecSys · Processings of ACM RecSys Conference Jiajie He, Yuechun Gu, Keke Chen
  • Calibrating Practical Privacy Risks for Differentially Private Machine Learning 2024 Proceedings of IEEE BigData 2024 · IEEE BigData Ethan Gu, Keke Chen
  • Demo: FT-PrivacyScore: Personalized Privacy Scoring Service for Machine Learning Participation 2024 Proceedings of ACM Computer and Communication Security Conference (CCS 2024) · ACM CCS Yuechun Gu, Jiajie He, Keke Chen
  • Designing a use-error robust machine learning model for quantitative analysis of diffuse reflectance spectra 2024 Journal of Biomedical Optics · 29 (1) Allison Scarbrough, Keke Chen, Bing Yu
  • TEE-Graph: efficient privacy and ownership protection for cloud-based graph spectral analysis 2023 Frontiers in Big Data · 6 Mubashwir Alam, Keke Chen
  • Demo: Image Disguising for Scalable GPU-accelerated Confidential Deep Learning 2023 Proceedings of ACM CCS demo session Yuechun Gu, Sagar Sharma, Keke Chen
  • GAN-Based Domain Inference Attack 2023 Proceedings of AAAI Conference · Proceedings of AAAI Conference Yuechun Gu, Keke Chen
  • Confidential Boosting with Random Linear Classifiers for Outsourced User-generated Data 2019 Proceedings of European Symposium on Research in Computer Security Sagar Sharma, Keke Chen
  • Membership Inference Attacks on In-Context Learning Recommendation Proceedings of ACL · Not Accepted Jiajie He, Min-chun Chen, Yuechun Chen, Keke Chen
  • Privacy Déjà Vu: Re-emergence of Sensitive Samples in Continual Fine-tuning Proceedings of SIGKDD · Under Review Yuechun Gu, Jiajie He, Keke Chen
  • Adaptive Domain Inference Attack with Concept Hierarchy Proceedings of SIGKDD conference · ACM Yuechun Gu, Jiajie He, Keke Chen

Grants and Contracts

  • SaTC 2.0: RES: Gauging Privacy Risk of Participating in AI Modeling 2026 NSF · Grant · Not Funded
  • PDaSP: Track 2: Confidential Computing for Voluntary Health Data Contributors 2025 NSF · Grant · Currently Under Review Keke Chen (Principal), Zeno Franco (Co-Principal)
  • Empirical Differential Privacy: Beyond Auditing Differentially Private Deep Learning 2024 NSF/NAIRR · Cooperative Agreement · Funded
  • Multi-modal Ranking Models for T Cell Receptor-Epitope Binding Prediction 2024 Northwestern Mutual Data Science Institute · Grant · Funded
  • CyberCorps Scholarship for Service: Expanding the Cybersecurity Workforce and Curriculum Assessment Methods in the State of Wisconsin (CyberWIN)", 2023 NSF · Grant · Funded Debbie Perouli (Principal), Keke Chen (Co-Principal), Thomas Kaczmarek
  • Confidential Computing in Collaborative Reproducible Workflows 2023 NSF · Grant · Funded Keke Chen (Principal), Zeno Franco (Co-Principal), Zeyun Yu (Co-Principal)
  • Mining and Visualizing Large-Scale Social Media Data for Event Detection and Monitoring 2014 Air Force Research Lab · Grant · Funded
  • Large-Scale Sequence Analysis and Visualization Software Tools for Single-Cell Immunology Research 2014 University of Texas, Austin · Contract
  • CUTE: Instructional Laboratories for Cloud Computing Education 2013 NSF · Grant · Funded Keke Chen (Principal), Bin Wang (Co-Principal), Prabhakar Mateti (Co-Principal)
  • Efficient and Scalable Information Fusion for Space Data 2013 Air Force Research Lab · Grant · Funded
  • Software and Hardware Infrastructure for Energy-Efficient Large-Scale Complex Language Modeling 2013 DoD/AFOSR · Grant Shaojun Wang (Principal), Keke Chen (Co-Principal), Amit Sheth (Co-Principal), Junjie Zhang (Co-Principal)
  • Optimal Resource Provisioning for Data-Intensive Computing in Public Clouds 2011 Amazon · Grant · Funded
  • Cloud-Based Interactive Visual Cluster Exploration for Ultra-Large Datasets 2009 Wright State University · Grant · Funded
  • Multimodal Models for Ranking T Cell Receptor-Antigen Recognition NIH · Grant · Not Funded Keke Chen (Principal), Ning Jiang (Other)

Courses Taught

  • Spec Topics In Comp Science: Trustworthy AI CMSC 691 · Fall 2025
  • Doctoral Dissertation Research CMSC 899 · Spring 2025
  • Special topics in Cloud Computing CMSC 491 · Spring 2025
  • Data Structures CMSC 341 · Spring 2025