Kaidi Xu
Drexel University — College of Computing & Informatics
Research focus: trustworthy machine learning · adversarial robustness · AI security · large language models
保护项目保护 4：构建基于 trustworthy machine learning, adversarial robustness, AI security, LLMs 和稳健的 computer vision 的拟合图，并命名一个近期论文、项目或实验室主题，以及一个可在第一学期开始的实质性扩展。
Who this advisor fits / 什么情况下适合你
- Use the research-fit signal, then verify recent placements, advising cadence, funding model, and recruiting capacity directly.
- 请依据研究契合度信号，并核实近期项目安排、资助模式及招募能力等关键指标，以指导申请节奏。
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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