About me
I am an assistant professor in the Department of Computer Science and Engineering at the University of South Florida (USF).
My research interests include federated learning, network intrusion detection, adversarial machine learning, and differential privacy.
Opening
Multiple PhD Openings (with assistantship): I am looking for self-motivated students with research interests in any area of cybersecurity or the intersection of AI and security. If this opportunity interests you, reach out to me (ningw at usf.edu), providing your resume and any supplementary material that will help me gain insight into your academic background and research expertise.
Education
- B.S. in Communications Engineering, Beijing University of Posts and Telecommunications, 2015
- M.S. in Electrical and Computer Engineering, Beijing University of Posts and Telecommunications, 2018
- Ph.D in Computer Engineering, Virginia Tech, 2023
News
-[Aug 2024] Our paper ‘Adversarial Attacks on Federated Learning Revisited: a Client-Selection Perspective’ has been accepted to IEEE CNS 2024.
-[Aug 2024] Our paper ‘Hermes: Boosting the Performance of Machine-Learning-based Intrusion Detection System through Geometric Feature Learning’ is accepted by ACM MobiHoc 2024.
-[July 2024] Ning will serve as a TPC member for AsiaCCS.
-[May 2024] Ning will serve as a TPC member for NDSS 2025 (fall cycle).
-[May 2024] Ning will server as a TPC member for and IEEE MILCOM 2025.
-[May 2024] Ning will serve as a TPC member and Web Chair of IEEE INFOCOM 2025.
-[May 2024] Ning will serve as a TPC member for AACD co-located with ACM CCS 2024.
-[Feb. 2024] Ning will serve as a TPC member for WiseML 2024 in conjunction with ACM WiSec 2024.
-[Aug. 2023] Our paper MINDFL: Mitigating the Impact of Imbalanced and Noisy-Labeled Data in Federated Learning With Quality and Fairness-Aware Client Selection is accepted by IEEE Military Communications Conference (MILCOM 2023). pdf
-[June 2023] Ning will serve as a TPC member for ACM Workshop on Moving Target Defense (MTD) 23 co-located with ACM Conference on Computer and Communications (CCS) 23.
-[Sep. 2022] Our paper Squeezing More Utility via Adaptive Clipping on Deferentially Private Gradients in Federated Meta-Learning is accepted by The Annual Computer Security Applications Conference (ACSAC 2022). pdf code
-[Aug. 2022] Our paper Transferability of Adversarial Examples in Machine Learning-based Malware Detection is accepted by the 2022 IEEE Conference on Communications and Network Security (CNS22). pdf
-[Feb. 2022] Our paper FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations is accepted by the 17th ACM ASIA Conference on Computer and Communications Security (AsiaCCS 2022). pdf
-[Feb. 2022] Our paper MANDA: On Adversarial Example Detection for Network Intrusion Detection System is accepted by IEEE Transactions on Dependable and Secure Computing (TDSC). pdf code
-[Dec. 2021] Our paper FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning has been accepted by the 2022 IEEE International Conference on Computer Communications (INFOCOM 2022). pdf code
-[Dec. 2020] Our paper MANDA: On Adversarial Example Detection for Network Intrusion Detection System is accepted by the 2021 IEEE International Conference on Computer Communications (INFOCOM 2021). pdf