Leaderboards/Privacy-Preserving Technologies in Data

Privacy-Preserving Technologies in Data

Last updated July 7, 2026

Rising Stars

New and hot

Rising Stars Researchers

1
Benjamin D Douglas
Ohio Wesleyan University
2
Hangyu Zhu
Hangzhou Dianzi University
3
Stefanie Warnat‐Herresthal
University of Bonn
4
Yue Tan
The Ohio State University
5
Wenke Huang
Wuhan University
6
Ittai Dayan
Federated Co-operatives (Canada)
7
Yutao Huang
Simon Fraser University
8
Enrique Tomás Martínez Beltrán
Universidad de Murcia
9
Lucas Bourtoule
University of Toronto
10
Kang Wei
Southeast University

Rising Stars Papers

1
Federated Learning for Generalization, Robustness, Fairness: A Survey and Benchmark
IEEE Transactions on Pattern Analysis and Machine Intelligence|2024
170 cit.
2
Research on fault feature extraction for planet-bearing using novel combination operator morphological filtering and stochastic resonance
Journal of Sound and Vibration|2025
29 cit.
3
Federated Learning With Long-Tailed Data via Representation Unification and Classifier Rectification
IEEE Transactions on Information Forensics and Security|2024
23 cit.
4
Mitigating communications threats in decentralized federated learning through moving target defense
Wireless Networks|2024
16 cit.
5
Gradient sparsification for efficient wireless federated learning with differential privacy
Science China Information Sciences|2024
10 cit.
6
Resisting Over-Smoothing in Graph Neural Networks via Dual-Dimensional Decoupling
Unknown Journal|2024
9 cit.
7
Flighter: Decentralized Federated Learning and Situational Awareness for Secure Military Aerial Reconnaissance
IEEE Communications Magazine|2025
8 cit.
8
GGI: Generative Gradient Inversion Attack in Federated Learning
Unknown Journal|2024
3 cit.
9
Application of domain-adaptive network with data augmentation in lithology identification of buried hill igneous rocks
Geoenergy Science and Engineering|2025
3 cit.
10
Privacy attack in federated learning is not easy: an experimental study
Complex & Intelligent Systems|2025
3 cit.

Emerging Leaders

Gaining momentum

Emerging Leaders Researchers

1
Spyridon Bakas
RELX Group (Netherlands)
2
Yupeng Zhang
Weihai Science and Technology Bureau
3
Thippa Reddy Gadekallu
Zhejiang A & F University
4
Keping Yu
Hosei University
5
Huiju Wang
Henan University
6
Neil Zhenqiang Gong
Duke University
7
Lichao Sun
Lehigh University
8
Lianyong Qi
China University of Petroleum, East China
9
Yves-Alexandre de Montjoye
NIHR Imperial Biomedical Research Centre
10
Praneeth Babu Marella
George Mason University

Emerging Leaders Papers

1
SplitFed: When Federated Learning Meets Split Learning
Proceedings of the AAAI Conference on Artificial Intelligence|2022
621 cit.
2
Metaverse for Healthcare: A Survey on Potential Applications, Challenges and Future Directions
IEEE Access|2023
482 cit.
3
Federated Learning for intrusion detection system: Concepts, challenges and future directions
Computer Communications|2022
401 cit.
4
A comprehensive survey on pretrained foundation models: a history from BERT to ChatGPT
International Journal of Machine Learning and Cybernetics|2024
373 cit.
5
Federated learning enables big data for rare cancer boundary detection
Nature Communications|2022
340 cit.
6
Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles
IEEE Transactions on Intelligent Transportation Systems|2022
334 cit.
7
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients
Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining|2022
296 cit.
8
Federated learning enabled digital twins for smart cities: Concepts, recent advances, and future directions
Sustainable Cities and Society|2022
279 cit.
9
Federated learning for smart cities: A comprehensive survey
Sustainable Energy Technologies and Assessments|2022
274 cit.
10
Adversarial Attack and Defense on Graph Data: A Survey
IEEE Transactions on Knowledge and Data Engineering|2022
243 cit.

Current Senior Leaders

Established & currently active

Current Senior Leaders Researchers

1
Xuemin Shen
University of Waterloo
2
Brent Waters
The University of Texas at Austin
3
Vitaly Shmatikov
Cornell University
4
Yan Zhang
State Development & Investment Corporation (China)
5
Wenjing Lou
Worcester Polytechnic Institute
6
Mohsen Guizani
Mohamed bin Zayed University of Artificial Intelligence
7
H. Vincent Poor
Princeton University
8
Robert H. Deng
Singapore Management University
9
Muthuramakrishnan Venkitasubramaniam
Georgetown University
10
Li Zhang
Google (United States)

Current Senior Leaders Papers

1
Deep Learning with Differential Privacy
Unknown Journal|2016
5.9k cit.
2
Attribute-based encryption for fine-grained access control of encrypted data
Unknown Journal|2006
5k cit.
3
Ciphertext-Policy Attribute-Based Encryption
Unknown Journal|2007
4.9k cit.
4
Membership Inference Attacks Against Machine Learning Models
Unknown Journal|2017
4.2k cit.
5
<i>L</i> -diversity
ACM Transactions on Knowledge Discovery from Data|2007
3.6k cit.
6
L-diversity: privacy beyond k-anonymity
Unknown Journal|2006
2.4k cit.
7
Robust De-anonymization of Large Sparse Datasets
Proceedings - IEEE Symposium on Security and Privacy/Proceedings of the ... IEEE Symposium on Security and Privacy|2008
2.3k cit.
8
Privacy-Preserving Deep Learning
Unknown Journal|2015
2.3k cit.
9
Unmanned Aerial Vehicles (UAVs): A Survey on Civil Applications and Key Research Challenges
IEEE Access|2019
2.2k cit.
10
Federated Learning With Differential Privacy: Algorithms and Performance Analysis
IEEE Transactions on Information Forensics and Security|2020
2.2k cit.

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