Eugene Bagdasaryan
UMass Amherst — Manning College of Information & Computer Sciences (CICS) · Assistant Professor
Research focus: ML security/privacy · adversarial ML · trustworthy/safe AI · federated learning attacks
手动审核申请准备：构建与Eugene Bagdasaryan、adversarial ML、rag、ML、AI、AI 系统安全相关的适配性图表，围绕federated learning attacks 的隐私与安全性进行设计；请提及一个近期发表的论文或项目，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
- Treat as a research-fit target first; verify current recruiting and recent student outcomes directly before relying on placement history.
- 首先将目标定位为研究契合度，在直接核查当前招聘状况及近期学生成果的基础上，再基于过往录取记录做出判断。
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
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