基本信息
浏览量:19
职业迁徙
个人简介
Rui’s research interests mainly fall into the intersection of Cybersecurity and Machine Learning. Machine learning has become an increasingly important tool in various areas during the last decade. As a result, it also has been leveraged in security-critical applications such as face recognition, malware detection, and autonomous vehicle. Therefore, it raises his research interests which consist of two main parts: 1. How to use it as a tool to discover possible vulnerabilities and develop countermeasures. 2. The machine learning model itself, as a sophisticated system, also surfers from adversarial example, backdoor attacks. Rui’s research aims at achieving secure and privacy-preserving AI by exploring its vulnerabilities and building defense mechanisms. Rui’s research contributes to the future development of cybersecurity in two different ways: First, it complements traditional cybersecurity by leveraging machine learning as a tool to discover possible vulnerabilities and developing corresponding countermeasures. He developed a systematical methodology of adapting the most cutting-edge machine learning techniques to analyze and predict the data collected from mobile and IoT devices. Second, his research tackles the emerging vulnerabilities and cyberattacks raised by the wide adoption of AI models. Due to the heavily data-driven nature of AI (especially deep learning), a wide-range of AI algorithms is vulnerable to polluted data, adversarial inputs, mimicry attacks, evasion attacks, and poisoning attacks. One of his recent work has discovered a new clean label attack, which stealthily and aggressively plants a backdoor in neural networks. Two countermeasures have been investigated to defeat the attack by supervised and unsupervised poison sample detection. Due to AI models’ sophistication and fragility, Rui foresees a long journey toward secure AI, with many interesting and fundamental research problems to be solved.
研究兴趣
论文共 20 篇作者统计合作学者相似作者
按年份排序按引用量排序主题筛选期刊级别筛选合作者筛选合作机构筛选
时间
引用量
主题
期刊级别
合作者
合作机构
AAAI 2024no. 7 (2024): 7766-7774
Global Communications Conferencepp.892-897, (2023)
2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)pp.782-793, (2023)
引用0浏览0EIWOS引用
0
0
2023 IEEE 20th International Conference on Mobile Ad Hoc and Smart Systems (MASS)pp.261-269, (2023)
引用0浏览0EIWOS引用
0
0
2022 6th International Conference on Cryptography, Security and Privacy (CSP)pp.56-60, (2022)
加载更多
作者统计
合作学者
合作机构
D-Core
- 合作者
- 学生
- 导师
数据免责声明
页面数据均来自互联网公开来源、合作出版商和通过AI技术自动分析结果,我们不对页面数据的有效性、准确性、正确性、可靠性、完整性和及时性做出任何承诺和保证。若有疑问,可以通过电子邮件方式联系我们:report@aminer.cn