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D-Index & Metrics

Computer Science

D-Index
34
Citations
4245
World Ranking
12269
National Ranking
4970

Overview

Gang Tan is affiliated with Pennsylvania State University in the United States. Their primary field of study is Computer Science, with a focus spanning several subfields including Artificial Intelligence, Signal Processing, Information Systems, Computer Networks and Communications, and Electrical and Electronic Engineering.

The scientist's research covers a variety of topics, emphasizing aspects of security, privacy, and machine learning. Key topics addressed in their work include:

  • Advanced Malware Detection Techniques
  • Security and Verification in Computing
  • Privacy-Preserving Technologies in Data
  • Adversarial Robustness in Machine Learning
  • IoT and Edge/Fog Computing
  • Cloud Data Security Solutions
  • Parallel Computing and Optimization Techniques

Gang Tan has contributed to an array of recent publications, publishing in journals and conferences with a security and engineering emphasis. Notable papers include:

  • "The mechanisms of NLRP3 inflammasome/pyroptosis activation and their role in diabetic retinopathy," 2023, Frontiers in Immunology
  • "Privacy preserving based logistic regression on big data," 2020, Journal of Network and Computer Applications
  • "Fairness-aware configuration of machine learning libraries," 2022, Proceedings of the 44th International Conference on Software Engineering
  • "Short-term electricity consumption prediction for buildings using data-driven swarm intelligence based ensemble model," 2020, Energy and Buildings
  • "PPMCK: Privacy-preserving multi-party computing for K-means clustering," 2021, Journal of Parallel and Distributed Computing

The researcher frequently publishes in venues including:

  • arXiv (Cornell University)
  • Proceedings of the ACM on Programming Languages
  • IEEE Transactions on Dependable and Secure Computing
  • Annual Computer Security Applications Conference
  • Ocean Engineering

Gang Tan collaborates regularly with multiple co-authors who contribute to their research projects. Prominent collaborators include:

  • Dongrui Zeng
  • Siqi Ma
  • Yongkai Fan
  • Saeid Tizpaz-Niari
  • Patrick McDaniel

Best Publications

  • Modular control-flow integrity

    Ben Niu;Gang Tan

  • IoTGuard: Dynamic Enforcement of Security and Safety Policy in Commodity IoT.

    Z. Berkay Celik;Gang Tan;Patrick D. McDaniel

  • Per-Input Control-Flow Integrity

    Ben Niu;Gang Tan

  • RockSalt: better, faster, stronger SFI for the x86

    Greg Morrisett;Gang Tan;Joseph Tassarotti;Jean-Baptiste Tristan

  • Soteria: Automated IoT Safety and Security Analysis

    Z. Berkay Celik;Patrick D. McDaniel;Gang Tan

  • Sensitive Information Tracking in Commodity IoT

    Z. Berkay Celik;Leonardo Babun;Amit Kumar Sikder;Hidayet Aksu

  • RockJIT: Securing Just-In-Time Compilation Using Modular Control-Flow Integrity

    Ben Niu;Gang Tan

  • Program Analysis of Commodity IoT Applications for Security and Privacy: Challenges and Opportunities

    Z. Berkay Celik;Earlence Fernandes;Eric Pauley;Gang Tan

  • Combining control-flow integrity and static analysis for efficient and validated data sandboxing

    Bin Zeng;Gang Tan;Greg Morrisett

  • NativeGuard: protecting android applications from third-party native libraries

    Mengtao Sun;Gang Tan

  • Dynamic Typing with Dependent Types

    Xinming Ou;Gang Tan;Yitzhak Mandelbaum;David Walker

  • Methods for enforcing control flow of a computer program

    Gang Tan;Ben Niu

  • Detection of Repackaged Android Malware with Code-Heterogeneity Features

    Ke Tian;Danfeng Yao;Barbara G. Ryder;Gang Tan

  • Monitor integrity protection with space efficiency and separate compilation

    Ben Niu;Gang Tan

  • Smartphone Dual Defense Protection Framework: Detecting Malicious Applications in Android Markets

    X. Su;M. Chuah;G. Tan

  • An empirical security study of the native code in the JDK

    Gang Tan;Jason Croft

  • Robusta: taming the native beast of the JVM

    Joseph Siefers;Gang Tan;Greg Morrisett

  • Detection and classification of different botnet C&C channels

    Gregory Fedynyshyn;Mooi Choo Chuah;Gang Tan

  • Finding bugs in exceptional situations of JNI programs

    Siliang Li;Gang Tan

  • One secure data integrity verification scheme for cloud storage

    Yongkai Fan;Xiaodong Lin;Gang Tan;Yuqing Zhang

  • CaSym: Cache Aware Symbolic Execution for Side Channel Detection and Mitigation

    Robert Brotzman;Shen Liu;Danfeng Zhang;Gang Tan

Frequent Co-Authors

Patrick McDaniel
Patrick McDaniel University of Wisconsin–Madison
Trent Jaeger
Trent Jaeger Pennsylvania State University
Greg Morrisett
Greg Morrisett Cornell University
Andrew W. Appel
Andrew W. Appel Princeton University
Jens Grossklags
Jens Grossklags Technical University of Munich
Danfeng Yao
Danfeng Yao Virginia Tech
Zhiqiang Lin
Zhiqiang Lin The Ohio State University
Claudia Eckert
Claudia Eckert The Open University
Barbara G. Ryder
Barbara G. Ryder Virginia Tech
Mahmut Kandemir
Mahmut Kandemir Pennsylvania State University

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