奥本大学 - CS -2025春/秋季博士招生 -人工智能安全/软件安全/硬件安全
6150
导师介绍：Sanchuan Chen 目前担任奥本大学 (Auburn University) 助理教授。他于2021年在俄亥俄州立大学 (The Ohio State University) 取得计算机博士学位。他的主要研究方向是人工智能安全（Artificial Intelligence Security），软件安全（Software Security）, 硬件安全（Hardware Security）等。他在安全与移动计算领域的顶级会议（CCS, USENIX Security, Oakland等）发表多篇论文。
个人主页：schuan.github.io
学校简介：奥本大学是位于阿拉巴马州的公立旗舰研究型大学，卡耐基分类为"R1: Doctoral Universities – Very High Research Activity"。在公立大学中排名40位。阿拉巴马州地处美国南部，气候宜人，生活成本低，位于美国“太阳带”，临近加勒比海和佛罗里达州。奥本城位于亚特兰大都会区附近，周边餐饮购物方便，多年被评为美国宜居地区前10名。
招生要求：计算机、统计、数学或相关学科背景的学生。
提供全额奖学金, 博士生的招收时间为2025春季和秋季。
申请方式：欢迎感兴趣的学生联系邮箱（1point3acres.com），并在邮件内附上简历和成绩单。
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Dr. Sanchuan Chen is an Assistant Professor at Auburn University, where he leads the Secure and Confidential Computing (SCC) lab. His research spans both software and hardware security, with a recent emphasis on integrating machine learning and statistical techniques into computer security.
In software security, Dr. Chen's current focus areas include:
1.Leveraging machine learning in open-source software (OSS) research.
In hardware security, Dr. Chen’s recent work centers on securely verifying program execution states within Trusted Execution Environments (TEEs).
Our Secure and Confidential Computing (SCC) lab at Auburn University is actively recruiting Ph.D. students with full financial support (1-2 positions available). Ideal candidates should have a strong background in mathematics and computer science.
Interested students should send their CV and transcripts to 1point3acres.com. Internship opportunities are also available.
个人主页：schuan.github.io
学校简介：奥本大学是位于阿拉巴马州的公立旗舰研究型大学，卡耐基分类为"R1: Doctoral Universities – Very High Research Activity"。在公立大学中排名40位。阿拉巴马州地处美国南部，气候宜人，生活成本低，位于美国“太阳带”，临近加勒比海和佛罗里达州。奥本城位于亚特兰大都会区附近，周边餐饮购物方便，多年被评为美国宜居地区前10名。
招生要求：计算机、统计、数学或相关学科背景的学生。
提供全额奖学金, 博士生的招收时间为2025春季和秋季。
申请方式：欢迎感兴趣的学生联系邮箱（1point3acres.com），并在邮件内附上简历和成绩单。
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Dr. Sanchuan Chen is an Assistant Professor at Auburn University, where he leads the Secure and Confidential Computing (SCC) lab. His research spans both software and hardware security, with a recent emphasis on integrating machine learning and statistical techniques into computer security.
In software security, Dr. Chen's current focus areas include:
1.Leveraging machine learning in open-source software (OSS) research.
- Applying machine learning to program analysis and testing.
- Identifying vulnerabilities in deep learning compilers and libraries using machine learning.
- Developing novel attacks and defenses for deep learning compilers and libraries.
- White-box program analysis and protection of deep learning models.
- Employing deep learning in binary analysis and developing hardening techniques.
In hardware security, Dr. Chen’s recent work centers on securely verifying program execution states within Trusted Execution Environments (TEEs).
Our Secure and Confidential Computing (SCC) lab at Auburn University is actively recruiting Ph.D. students with full financial support (1-2 positions available). Ideal candidates should have a strong background in mathematics and computer science.
Interested students should send their CV and transcripts to 1point3acres.com. Internship opportunities are also available.
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