Center for Research and Education in Cyber Security and Privacy

About Us

Vision

We seek to be a premier center for cybersecurity, designing novel approaches to building secure systems and enabling them to detect and tolerate attacks. We also seek to prepare talented engineers and researchers with the technical and problem solving skills in this area of national need.

Mission

Our mission is to secure everything. We work on building systems that are secure by design, and that resist and tolerate attacks. As computing is becoming pervasive, its essential to build future devices with security and privacy as a first class design consideration.

Research Areas

Our research areas span the full range of computer security and privacy.

Faculty

Publications

2024

[CCS'24] Kaiming Huang, Mathias Payer, Zhiyun Qian, Jack Sampson, Gang Tan, Trent Jaeger. Top of the Heap: Efficient Memory Error Protection of Safe Heap Objects. In Proceedings of the 2024 ACM Conference on Computer and Communications Security (ACM CCS), October 2024.
[CCS'24] Mingming Chen, Thomas La Porta, Teryl Taylor, Fred Araujo, Trent Jaeger. Manipulating OpenFlow Link Discovery Packet Forwarding for Topology Poisoning. In Proceedings of the 2024 ACM Conference on Computer and Communications Security (ACM CCS), October 2024.
[USENIX Security'24] Rahul George, Mingming Chen, Kaiming Huang, Zhiyun Qian, Thomas La Porta, Trent Jaeger. OptiSan: Using Multiple Spatial Error Defenses to Optimize Stack Memory Protection within a Budget. In Proceedings of the 33rd USENIX Security Symposium, August 2024.
[USENIX Security'24] Yizhuo Zhai, Zhiyun Qian, Chengyu Song, Manu Sridharan, Trent Jaeger, Paul Yu, Srikanth Krishnamurthy. Don’t Waste My Efforts: Pruning Redundant Sanitizer Checks of Developer-Implemented Type Checks. In Proceedings of the 33rd USENIX Security Symposium, August 2024.
[USENIX Security'24] Meenatchi Sundaram Muthu Selva Annamalai, Georgi Ganev, Emiliano De Cristofaro. "What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation. In Proceedings of the 33rd USENIX Security Symposium, August 2024.
[USENIX Security'24] Zhenxiao Qi, Jie Hu, Zhaoqi Xiao, Heng Yin:
SymFit…