Neil Zhenqiang Gong
Duke University — Computer Science
Research focus: AI security · trustworthy machine learning · privacy · adversarial ML
针对 Neil Zhenqiang Gong 的预审审核：构建以 AI security 为基座、具有 privacy 的可靠度、rag 的拟合图、ML 的对抗鲁棒性、AI 的图/社会网络安全以及 {{PROTECT_6}} 的系统的综合评估；请提交一篇近期论文、一个项目或一个实验室的主题，并说明您计划在第一个学期启动的一个具体扩展。
Who this advisor fits / 什么情况下适合你
- You care about faculty-track outcomes; public alumni rows include verifiable faculty placements.
- Industry research or startup/translation paths appeal to you (meaningful share in public outcomes).
- Use the research-fit and CSRankings signal, then verify recent placements, advising cadence, funding model, and recruiting capacity directly.
- 你在意学术教职/教职轨去向，公开校友里有可核对的教职案例。
- 工业研究或创业/转化路径对你有吸引力（公开去向里占比不低）。
- 请依据研究契合度与CS排名信号，并核实近期入选情况、建议的任职节奏、资助模式及招聘能力，直接予以指导。
What to watch for / 什么情况下要慎重
- Faculty-only is your sole goal and you want zero industry/translation exposure.
- 你把「教职为唯一目标」且完全不想碰工业/转化网络。
Public evidence as of 2026-06-10
These are decision-support signals compiled from public evidence (faculty pages, publications, lab sites) to help you ask better questions — not a ranking, rating, or allegation about this advisor. / 以上为基于公开信息整理的择校参考，帮助你提出更好的问题，并非排名、评分或对该导师的指控。
Ask a verified 学长学姐 / 同校 .edu 认证点评
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