Lannan Luo

I am an Assistant Professor in the Department of Computer Science and Engineering at University of South Carolina. I received my PhD in the College of Information Sciences and Technology from Penn State University in August, 2017, working under the supervision of Dr. Peng Liu. The easiest way to contact me is through email at lluo (at) cse.sc.edu.

My research mainly focuses on software and systems security. My reserach interests include software analysis and verification, vulnerability analysis, malware analysis, programming languages, software engineering, and deep learning. My research approaches are mainly empirical in tandem with formal methods, combining symbolic execution, theorem proving, taint analysis, control flow analysis, and data flow analysis.

 

To prospective students:
Our lab is recruiting PhD students, master students, undergraduate students, and visiting scholars. For more details, please visit here.

 

Our HBCU-USC Collaborative Lab looks for students from underrepresented groups to join us.

 

 

NEWS:

12/11/20 I've received the 2020 Young Investigator Research Award in College of Engineering and Computing at University of South Carolina.

08/04/20 I've received an NSF SaTC grant "Semantics-Oriented Binary Code Analysis Learning from Recent Advances in Deep Learning." Thanks NSF!

07/28/20 Our work about secure and usable IoT pairing is accepted at CCS'20.

11/29/19 One paper "Heap Memory Snapshot Assisted Program Analysis for Android Permission Specification" is accepted at SANER'20.

07/11/19 A novel IoT authentication work is accepted at MobiCom'19.

05/29/19 Our work that detects adversarial examples and also rectifies the classfication results is accepted at RAID'19.

04/25/19 My CRII proposal is funded by NSF. Thank you NSF!

03/04/19 Our work that patches ALL heap vulnerabilities without changing the binary code is accepted at DSN'19.

03/04/19 Our work that detects audio adversarial examples at accuracies over 99% is accepted at DSN'19.

01/25/19 Our paper "A Cross-Architecture Instruction Embedding Model for Natural Language Processing-Inspired Binary Code Analysis" is accepted at the NDSS Workshop on Binary Analysis Research.

11/28/18 Our paper "A Multiversion Programming Inspired Approach to Detecting Audio Adversarial Examples" is accepted at the AAAI Workshop on Artificial Intelligence for Cyber Security.

More news...

 

Contact Information

Rm 2245
Storey Innovation Center
Computer Science and Engineering
University of South Carolina
Email: lluo (at) cse (dot) sc (dot) edu