Ting Wang
Stony Brook University CS · Associate Professor (SUNY Empire Innovation Scholar)
Research focus: trustworthy machine learning · ML security & privacy · adversarial / safe AI · decision-making transparency
手动审核申请准备：构建基于 trustworthy machine learning 的适配模型，结合 Ting Wang、rag、ML 的安全/隐私、对抗性 AI 及安全透明的决策系统；请提及一个近期论文或项目，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.
- Strong fit for applicants with ML security, trustworthy AI, and adversarial learning evidence; use the lab alumni table directly but ask about current project ownership and advising cadence.
- 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。
- 对于具备 ML 级安全背景、值得信赖的 AI 背景以及对抗学习证据的申请人，建议直接查阅实验室校友表，同时询问当前项目所有权及指导节奏。
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.