World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
12199
World Ranking
4544
National Ranking
2129

Research.com Recognitions

  • 2006 - ACM Fellow For contributions to information management and security.

Overview

Marianne Winslett is affiliated with the University of Illinois at Urbana-Champaign in the United States. Their research primarily spans the domain of computer science, with a focus on several subfields including computer networks and communications, computer vision and pattern recognition, information systems, artificial intelligence, and signal processing.

The scientist's work covers a range of main topics such as advanced database systems and queries, advanced neural network applications, advanced image and video retrieval techniques, COVID-19 diagnosis using AI, smart grid security and resilience, network security and intrusion detection, and data mining algorithms and applications.

Recent publications by Marianne Winslett include:

  • YOLO-ReT: Towards High Accuracy Real-time Object Detection on Edge GPUs, 2022, 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
  • Learning-Based Simultaneous Detection and Characterization of Time Delay Attack in Cyber-Physical Systems, 2021, IEEE Transactions on Smart Grid
  • Causal Mechanism Transfer Network for Time Series Domain Adaptation in Mechanical Systems, 2021, ACM Transactions on Intelligent Systems and Technology
  • Intelligent Automated Workload Analysis for Database Replatforming, 2022, Proceedings of the 2022 International Conference on Management of Data
  • Goetz Graefe Speaks Out on (Not Only) Query Optimization, 2020, ACM SIGMOD Record

Marianne Winslett frequently publishes in venues such as ACM SIGMOD Record, arXiv (Cornell University), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), IEEE Transactions on Smart Grid, and ACM Transactions on Intelligent Systems and Technology.

Collaborations feature prominently in Winslett's career, with frequent coauthors including Vanessa Braganholo, Yao Chen, Deming Chen, Prakhar Ganesh, and Xin Lou.

In recognition of their contributions to the field of computer science, Winslett was named an ACM Fellow in 2006, cited specifically for contributions to information management and security.

Best Publications

  • Reasoning about action using a possible models approach

    Marianne Winslett

  • Functional mechanism: regression analysis under differential privacy

    Jun Zhang;Zhenjie Zhang;Xiaokui Xiao;Yin Yang

  • Supporting structured credentials and sensitive policies through interoperable strategies for automated trust negotiation

    Ting Yu;Marianne Winslett;Kent E. Seamons

  • Updating Logical Databases

    Marianne Winslett

  • Differentially private histogram publication

    Jia Xu;Zhenjie Zhang;Xiaokui Xiao;Yin Yang

  • Preventing history forgery with secure provenance

    Ragib Hasan;Radu Sion;Marianne Winslett

  • Proceedings of the 2017 ACM on Conference on Information and Knowledge Management

    Ee-Peng Lim;Marianne Winslett;Mark Sanderson;Ada Fu

  • Negotiating trust in the Web

    M. Winslett;T. Yu;K.E. Seamons;A. Hess

  • Server-Directed Collective I/O in Panda

    K. E. Seamons;Y. Chen;P. Jones;J. Jozwiak

  • Scientific and Statistical Database Management

    Marianne Winslett

  • A unified scheme for resource protection in automated trust negotiation

    Ting Yu;M. Winslett

  • The case of the fake Picasso: preventing history forgery with secure provenance

    Ragib Hasan;Radu Sion;Marianne Winslett

  • Limiting the Disclosure of Access Control Policies during Automated Trust Negotiation.

    Kent E. Seamons;Marianne Winslett;Ting Yu

  • Interoperable strategies in automated trust negotiation

    Ting Yu;Marianne Winslett;Kent E. Seamons

  • Requirements for policy languages for trust negotiation

    K.E. Seamons;M. Winslett;Ting Yu;B. Smith

  • Introducing secure provenance: problems and challenges

    Ragib Hasan;Radu Sion;Marianne Winslett

  • PRUNES: an efficient and complete strategy for automated trust negotiation over the Internet

    Ting Yu;Xiaosong Ma;Marianne Winslett

  • No Registration Needed: How to Use Declarative Policies and Negotiation to Access Sensitive Resources on the Semantic Web

    Rita Gavriloaie;Wolfgang Nejdl;Daniel Olmedilla;Kent E. Seamons

  • PeerTrust: Automated Trust Negotiation for Peers on the Semantic Web

    Wolfgang Nejdl;Daniel Olmedilla;Marianne Winslett

  • Differentially private data cubes: optimizing noise sources and consistency

    Bolin Ding;Marianne Winslett;Jiawei Han;Zhenhui Li

  • Differentially Private Histogram Publication

    Jia Xu;Zhenjie Zhang;Xiaokui Xiao;Yin Yang

Frequent Co-Authors

Yin Yang
Yin Yang Hamad bin Khalifa University
Ting Yu
Ting Yu Mohamed bin Zayed University of Artificial Intelligence
Xiaokui Xiao
Xiaokui Xiao National University of Singapore
Radu Sion
Radu Sion Stony Brook University
Wolfgang Nejdl
Wolfgang Nejdl University of Hannover
Sy-Yen Kuo
Sy-Yen Kuo National Taiwan University
Deming Chen
Deming Chen University of Illinois at Urbana-Champaign
Richard T. Snodgrass
Richard T. Snodgrass University of Arizona
Carl A. Gunter
Carl A. Gunter University of Illinois at Urbana-Champaign
David K. Y. Yau
David K. Y. Yau Singapore University of Technology and Design

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