Dan Lin joined Computer Science Department at Vanderbilt University as a full professor in Fall 2022. Before that, she was the Robert H. Buescher Faculty Fellow and associate professor with joint appointments in the Department of Electrical Engineering and Computer Science and the Department of Management at the University of Missouri and associate chair for Graduate Study and director of the Cybersecurity Lab at the Department of Computer Science at Missouri S&T. She did her postdoc at Purdue University with Professor Elisa Bertino. She also visited Aalborg University (Denmark) and worked with Professor Christian Jensen for three months. Her main research interests cover many areas in the fields of database systems and information security. Her current research includes AI attacks and defense, security and privacy in cloud computing, privacy preservation in social networking, location privacy in mobile applications, routing and security issues in Vehicular Ad-hoc Networks (VANETs). Her research has been funded by the NSF, NSA and the Department of Energy. She has served as program committee members in many premium conferences such as SIGMOD, VLDB, ICDE, ICDCS and SSTD. She is currently an associate editor of IEEE Transactions on Dependable and Secure Computing (TDSC), IEEE Transactions on Emerging Topics in Computing (TETC), and ACM Transactions on Privacy and Security (TOPS).
- Collaborative Research: SaTC: CORE: Medium: Self-Learning and Self-Evolving Detection of Altered, Deceptive Images and Videos
- Collaborative Research: SaTC: CORE: Medium: Broad Spectrum Facial Image Protection with Provable Privacy Guarantees
- FUTURES: Federal and University Training Union for Research and Education on Security
Prof. Lin's research interests include data analysis and privacy protection in different domains such as cloud computing, mobile applications, social media platforms, and Internet of vehicles. Her most recent research projects are about studying machine learning attacks and designing defensive mechanisms for artificial intelligence. She has received 3 best paper awards from ACM conferences. Her research has been supported by federal funding from NSF, NSA, and DOE.