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Neil Zhenqiang Gong

Computer Science

Duke University

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About Neil Zhenqiang Gong at Duke University (Duke)

Neil Zhenqiang Gong is a Duke University professor specializing in machine learning security, adversarial robustness, and privacy-preserving technologies. Their research directions are illustrated by key works including "FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical Information", and "PromptRobust: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts".

Research Areas

Adversarial RobustnessPrivacy-Preserving TechnologiesSpam DetectionPhishing DetectionPrompt Injection AttacksMachine Learning SecurityLLM SecurityData Poisoning
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Academic Impact Matrix

Research output metrics for Neil Zhenqiang Gong aggregated from public academic databases. Student lab experience data is pending.

Academic data verified · April 2026 · Next sync: May 2026

Research Output

Total Citations7,944

Emerging researcher

Publications259

Highly prolific researcher

h-index48

Established scholar

i10-index100

Broad impact

Lab Environment

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Top Publications

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