Project Info
Security and Privacy Protection using Advanced AI Techniques
Chuan Yue
chuanyue@mines.edu
Project Goals and Description:
In this project, we explore novel ways to enhance the protection of end users' online security and privacy
using advanced AI or machine learning techniques.
More Information:
Grand Challenge: Secure cyberspace.
Some relevant papers can be found on the homepage of Dr. Yue (https://inside.mines.edu/~chuanyue/).
More resources will be provided for the selected MURF fellow.
Primary Contacts:
Dr. Chuan Yue (chuanyue@mines.edu) and his PhD students (TBD).
Student Preparation
Qualifications
Students who major in Computer Science, already took some 200-level CS courses,
are familiar with mobile and web app programming techniques,
and are familiar with basic machine learning techniques.
TIME COMMITMENT (HRS/WK)
4~5 hours per week.
SKILLS/TECHNIQUES GAINED
Research methodology; system design principles and skills; research paper reading, presentation, and writing; communication.
MENTORING PLAN
1. Weekly project meeting.
2. Highly level guidance on research direction and methodology.
3. Teamwork with PhD and master students.
Preferred Student Status
Freshman
Sophomore
Junior
Senior