Ning Wang

Assistant Professor, Department of Computer Science and Engineering, University of South Florida

4202 E. Fowler Avenue, Tampa, FL 33620, USA

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Education

09/2018 - 05/2023
Ph.D. in Computer Engineering, Virginia Tech, Blacksburg, VA
Advised by Dr. Wenjing Lou and Dr. Y. Thomas Hou
Dissertation: Building trustworthy machine learning systems in adversarial environments
09/2015 - 03/2018
M.S. in Electronics and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing
Advised by Dr. Qimei Cui
Thesis: Modeling and performance analysis of vehicular network with stochastic geometry theory
09/2011 - 07/2015
B.S. in Telecommunication Engineering, Beijing University of Posts and Telecommunications, Beijing

Work Experience

08/2023 – Present
Assistant Professor, Department of Computer Science and Engineering, University of South Florida, Tampa, FL
05/2022 – 08/2022
Research Internship, ByteDance Inc.
09/2018 – 05/2023
Graduate Research Assistantship, Virginia Tech

Publications

Conference proceedings

  1. C. Zhang, N. Wang, S. Shi, C. Du, W. Lou and Y.T. Hou, "MINDFL: Mitigating the Impact of Imbalanced and Noisy-Labeled Data in Federated Learning With Quality and Fairness-Aware Client Selection," In the IEEE Military Communications Conference (MILCOM), 2023.
  2. N. Wang, "Building Trustworthy Machine Learning Systems in Adversarial Environment," Dissertation, 2023.
  3. N. Wang, Y. Xiao, Y. Chen, N. Zhang, W. Lou and Y.T. Hou, "Squeezing More Utility via Adaptive Clipping on Differentially Private Gradients in Federated Meta-Learning," In Annual Computer Security Applications Conference (ACSAC), 2022. (Acceptance rate: 24.0%)

Journal articles

  1. N. Wang, Y. Chen, Y. Xiao, Y. Hu, W. Lou and Y.T. Hou, "MANDA: On Adversarial Example Detection for Network Intrusion Detection System," In IEEE Transactions on Dependable and Secure Computing (TDSC), 2022 (early access)

Teaching Experience

  • CIS 6930 Security & Privacy in Machine Learning (Fall, 2023)
  • CIS 4219 Human Aspects in Cybersecurity (Spring, 2024)

Awards and Recognitions

  • ACSAC Conferenceship 2022
  • IEEE INFOCOM Student Travel Grant 2022
  • IEEE ICNP Student Travel Grant 2022
  • IEEE CNS Student Travel Grant 2022
  • BUPT Excellent Graduate Student Award 2016 & 2017

Professional Services

Program Committee for:

  • Program committee for ACM Workshop on Moving Target Defense (MTD23) colocated with ACM conference on computer and communications (CCS23).
  • Program committee for the sixth ACM Workshop on Wireless Security and Machine Learning (WiseML 2024), in conjunction with ACM WiSec 2024.
  • Will serve as Technical Program Committee for AsiaCCS 2025 and INFOCOM 2025.