Curriculum
Computer Science and Innovation for Societal Challenges, XXXVI series
Grant sponsor
CSC (China Scholarship Council)
Supervisor
Mauro Conti
Co-supervisor
s
Anna Spagnolli
Contact
ying.yuan@studenti.unipd.it
Project description
With the widespread use of web applications, web security has received more and more attention. Its vulnerabilities will threaten the privacy of users and bring huge economic losses to users. Manually mining vulnerabilities takes a long time and high labor costs. How to use machine learning algorithms to efficiently and automatically detect web vulnerabilities is my research focus.