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)

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:
I am looking for self-motivated Ph.D. students, master students, undergraduate students, and visiting scholars. For more details, please visit here.


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




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!

03/07/19 I will serve on the program committee of ACSAC'19.

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.

02/13/19 I will serve on the program committee of MASS'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.

11/06/18 Our paper "Neural Machine Translation Inspired Binary Code Similarity Comparison beyond Function Pairs" is accepted at NDSS'19, see you in San Diego!

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