Arvind Narayanan
Princeton CS · Professor of Computer Science
Research focus: AI policy and society · security and privacy · web transparency · machine learning fairness
保护编号 0 的申请人应展示技术扎实且负责任地处理隐私的工作：测量、审计、ML/社会影响、web transparency、去标识化或政策相关实证CS。
Who this advisor fits / 什么情况下适合你
- Applicants should show technically grounded responsible-AI or privacy work: measurement, auditing, ML/social impact, web transparency, de-identification, or policy-relevant empirical CS.
- 申请人应展示技术扎实且负责任的技术工作成果，包括但不限于测量、审计、ML/社会影响评估、web transparency、去标识化或政策相关实证CS。
What to watch for / 什么情况下要慎重
- You need strong placement evidence, but public signals for this PI are still thin.
- 你需要强证据的毕业去向分布，而这位 PI 目前公开信号仍较薄。
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
The thing applicants say only 师兄师姐 can tell you — current & former students of this lab, verified by their school .edu. Open the full dossier to read or add a verified note.