Carter Yagemann


Carter Yagemann

Ph.D. Student

Georgia Institute of Technology

Email: yagemann@gatech.edu

I am a Ph.D. student in the Institute for Information Security and Privacy at the Georgia Institute of Technology, where I am advised by Prof. Wenke Lee and Prof. Brendan Saltaformaggio. My research interests include computer systems security with focuses on binary analysis, vulnerability discovery and prevention, machine learning, and mobile operating systems security.

About Awards Grants Media Patents Projects Publications Service Talks Teaching


Publications

  1. Carter Yagemann, Matthew Pruett, Simon Chung, Kennon Bittick, Brendan Saltaformaggio, Wenke Lee. ARCUS: Symbolic Root Cause Analysis of Exploits in Production Systems. To appear in the 30th USENIX Security Symposium (USENIX’21). Vancouver, Canada. August 11-13, 2021.
  2. Erkam Uzun, Carter Yagemann, Simon Pak Ho Chung, Vladimir Kolesnikov and Wenke Lee. Cryptographic Key Derivation from Biometric Inferences for Remote Authentication. To appear in the 16th ACM ASIA Conference on Computer and Communications Security (ASIACCS’21). Hong Kong, China. June 7-11, 2021.
  3. Carter Yagemann, Simon Chung, Erkam Uzun, Sai Ragam, Brendan Saltaformaggio, Wenke Lee. On the Feasibility of Automating Stock Market Manipulation. Appeared in the Annual Computer Security Applications Conference (ACSAC’20). Austin, Texas. December 7-11, 2020.
  4. Carter Yagemann, Salmin Sultana, Li Chen, Wenke Lee. Barnum: Detecting Document Malware via Control Flow Anomalies in Hardware Traces. Appeared in 22nd Information Security Conference (ISC’19). New York, New York. September 16-18, 2019.
  5. Li Chen, Carter Yagemann, Evan Downing. To believe or not to believe: Validating explanation fidelity for dynamic malware analysis. Appeared in CVPR Workshops (CVPR’19). Long Beach, California. June 16-20, 2019.
  6. Nilaksh Das, Siwei Li, Chanil Jeon, Jinho Jung, Shang-Tse Chen, Carter Yagemann, Evan Downing, Haekyu Park, Evan Yang, Li Chen, Michael Kounavis, Ravi Sahita, David Durham, Scott Buck, Polo Chau, Taesoo Kim, Wenke Lee. MLsploit: A Cloud-Based Framework for Adversarial Machine Learning Research. Appeared in Black Hat Asia 2019. Marina Bay Sands, Singapore. March 26-29, 2019.
  7. Nilaksh Das, Siwei Li, Chanil Jeon, Jinho Jung, Shang-Tse Chen, Carter Yagemann, Evan Downing, Haekyu Park, Evan Yang, Li Chen, Michael Kounavis, Ravi Sahita, David Durham, Scott Buck, Polo Chau, Taesoo Kim, Wenke Lee. MLsploit: A Framework for Interactive Experimentation with Adversarial Machine Learning Research. Appeared in 25th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD’19) Project Showcase Workshop. Anchorage, Alaska. August 4-8, 2019.
  8. Hong Hu, Chenxiong Qian, Carter Yagemann, Simon Pak Ho Chung, Bill Harris, Taesoo Kim, Wenke Lee. Enforcing Unique Code Target Property for Control-Flow Integrity. Appeared in the 25th ACM Conference on Computer and Communications Security (CCS'18). Toronto, Canada. October 15-19, 2018.
  9. Carter Yagemann, Wenliang Du. Intentio Ex Machina: Android Intent Access Control via an Extensible Application Hook. Appeared in Proceedings of the 21st European Symposium on Research in Computer Security (ESORICS'16). Heraklion, Crete, Greece. September 26-30, 2016.
  10. Carter Yagemann. Intentio Ex Machina: Android Intent Access Control via an Extensible Application Hook. Master's thesis. May 15, 2016.