CV

Ning’s CV in pdf

Education

• B.S. in Communications Engineering, Beijing University of Posts and Telecommunications, 2011-2015
• M.S. in Electrical and Computer Engineering, Beijing University of Posts and Telecommunications, 2015-2018
• Ph.D in Computer Engineering, Virginia Tech, 2018-2023

Work experience

• Assistant Professor (08/2023-present)
  • Department of Computer Science and Engineering, University of South Florida
• Graduate Research Assistant (08/2018-05/2023)
  • CNSR@VT

Skills

Publications

PriRoster: Privacy-preserving Radio Context Attestation in Cognitive Radio Networks

MANDA: On Adversarial Example Detection for Network Intrusion Detection System

FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning

FLARE: Defending Federated Learning against Model Poisoning Attacks via Latent Space Representations

Transferability of Adversarial Examples in Machine Learning-based Malware Detection

Squeezing More Utility via Adaptive Clipping on Deferentially Private Gradients in Federated Meta-Learning

MANDA: On Adversarial Example Detection for Network Intrusion Detection System

MINDFL: Mitigating the Impact of Imbalanced and Noisy-labeled Data in Federated Learning with Quality and Fairness-Aware Client Selection

Talks

FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning

May 05, 2022

Conference proceedings talk at IEEE INFOCOM 2022, Recorded Talk for Virtual Conference

Flare: Defensing Federated Learning against Model Poisoning Attacks via Latent Space Representations

June 02, 2022

Talk at AsiaCCS 2022, Recorded, the talk is shared at the conference in Nagasaki, Japan

Teaching

CIS 4219 Human Aspects of Cybersecurity

CIS 6930 Security and Privacy of Machine Learning