REU Site: Undergraduate Research Experiences in Big Data Security and Privacy

该项目是加州波莫纳理工学院大数据安全和隐私本科生研究经验（REU）网站的更新。这个REU网站将接待一群不同的本科生，他们将在夏季花10周的时间研究大数据和安全/隐私交叉领域的研究问题。本REU网站探讨网络安全和大数据智能的相互作用，重点研究两个方面：(a)大数据、模型和平台的安全与隐私；(b)面向安全的大数据智能。学生将掌握基本的大数据安全和隐私概念，并学习使用测试平台和工具。一个由教师顾问组成的跨学科小组将指导学生的研究项目，例如，保护隐私的深度学习，针对深度网络分类模型的3D对抗性攻击，以及使用自然语言处理根据人格偏见对网络钓鱼电子邮件内容进行分类。除了研究活动外，学校还为学生们精心策划了各种职业发展活动，包括在多个专题讨论会和研讨会上展示他们的研究成果，在受邀演讲系列中与资深研究人员和同行互动，以及到研究实验室进行实地考察。该网站计划从全国各地吸引有才华的本科生，尤其注重招募西班牙裔和女性学生，这两个群体传统上在计算机领域的代表性不足。该项目是加州理工波莫纳分校（CPP）大数据安全和隐私REU网站的更新，并将在2021年至2024年期间与CPP教师导师一起提供为期10周的年度沉浸式本科研究体验。该网站每年夏天将接待10名REU学生，其中5名来自加州波莫纳理工学院，5名来自其他机构。学生将在短期课程/实验练习中获得基本的数据安全和隐私概念，并学习使用测试平台和工具。指导教师将指导学生在大数据与安全/隐私交叉领域的研究项目，重点关注两个方面：(a)大数据、模型和平台的安全与隐私；(b)面向安全的大数据智能。学生的研究课题包括基于完全同态加密（FHE）的隐私保护深度学习、基于深度网络分类模型的3D对抗性攻击、异构计算环境下大规模网络异常检测的并行算法、基于人格偏见的网络钓鱼电子邮件内容分类等。除了研究活动，学生还将参加各种专业的职业发展活动，包括在多个专题讨论会和研讨会上展示他们的研究成果，在受邀演讲系列中与资深研究人员和同行互动，以及到研究实验室进行实地考察。除了夏季，REU网站还为学生提供持续的支持，以实现他们在大数据和网络安全方面的职业目标，例如扩展他们的研究，完成论文提交，并准备研究生院申请。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

This project is a renewal of the Research Experiences for Undergraduates (REU) Site in Big Data Security and Privacy at Cal Poly Pomona. This REU Site will host a diverse group of undergraduate students who will spend 10 weeks in summer working on the research problems in the intersection of big data and security/privacy. This REU site explores the interplay of cybersecurity and big data intelligence and focuses on two research aspects: (a) Security and Privacy of Big Data, Model and Platform and (b) Big Data Intelligence for Security. The students will acquire fundamental big data security and privacy concepts and learn to use testbeds and tools. An interdisciplinary group of faculty advisors will direct students’ research projects, for example, in privacy preserving deep learning, 3D adversarial attacks against deep network classification models, and the classification of phishing e-mail contents according to personality bias using natural language processing. In addition to research activities, various professional career development activities are well planned for students including, presenting their research at multiple symposia and seminars and interacting with senior researchers and peers in an Invited Speaker Series and on a field trip to research labs. The site plans to attract talented undergraduate students from across the nation, particularly focusing on recruiting Hispanic and women students, groups traditionally under-represented in the computing fields.This project is a renewal of the REU Site in Big Data Security and Privacy at Cal Poly Pomona (CPP) and will offer an annual and immersive 10-week undergraduate research experience with CPP faculty mentors from 2021 to 2024. The site will host 10 REU students each summer, 5 from Cal Poly Pomona and 5 from other institutions. The students will acquire fundamental data security and privacy concepts and learn to use testbed and tools in the short course/lab exercises. Faculty advisors will direct students’ research projects in the intersection of big data and security/privacy with an emphasis on two aspects: (a) Security and Privacy of Big Data, Model and Platform and (b) Big Data Intelligence for Security. Student research topics include Fully Homomorphic Encryption (FHE) based privacy preserving deep learning, 3D adversarial attacks against deep network classification models, parallel algorithms for Large Scale Cyber Anomaly Detection on Heterogenous Computing Environments, and the classification of phishing e-mail contents according to personality bias using natural language processing, etc. In addition to research activities, students will participate in a variety of professional career development activities including, presenting their research at multiple symposia and seminars and interacting with senior researchers and peers in an Invited Speaker Series and on a field trip to research labs. Beyond summer, this REU site also provides students with continuous support towards their career goals in big data and cybersecurity, e.g., extending their research, completing paper submission, and preparing for graduate school applications.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.