Jiang Ming

About Me

I am an Associate Professor in the Department of Computer Science at Tulane University. My research lies at the intersection of Computer Security, Programming Languages, Software Engineering, and Systems, where I tackle pressing security challenges posed by today’s rapidly evolving technologies. I’m passionate about transforming complex security problems into actionable, real-world solutions that safeguard systems and users against emerging threats.

I am always looking for self-motivated Ph.D. students who would like to carry on top-notch research on Software and Systems Security. Candidates are expected to have a solid background in compilers, operating systems, reverse engineering, and strong programming skills.

Please contact me if you are interested. 😃

🎀 Google Research Scholar Award, 2024
🏅 IEEE Top Picks in Hardware and Embedded Security Shortlist, 2023
🎀 Carol Lavin Bernick Faculty Grant, 2023
🥈 2nd Place in ACM SRC Grand Finals (Faculty Advisor), 2022
🎀 Cisco Research Gift, 2021
🏆 ACM SIGPLAN Distinguished Paper Award, PLDI 2021
🏅 CSAW Best Applied Security Paper Award TOP-10 Finalists, 2017

📧: jming[at]tulane[dot]edu
🏫: 303C Stanley Thomas Hall, New Orleans, LA 70118
📅: Email for appointment

Associate Professor of Computer Science

About Me

[S&P '25] Inspecting Virtual Machine Diversification Inside Virtualization Obfuscation

[NDSS '25] Retrofitting XoM for Stripped Binaries without Embedded Data Relocation

[NSDI '24] Towards Intelligent Automobile Cockpit via A New Container Architecture

[CCS '23] PackGenome: Automatically Generating Robust YARA Rules for Accurate Malware Packer Detection

[USENIX Security '23] On the Feasibility of Malware Unpacking via Hardware-assisted Loop Profiling

[USENIX Security '22] PolyCruise: A Cross-Language Dynamic Information Flow Analysis

[ASPLOS '22] One Size Does Not Fit All: Security Hardening of MIPS Embedded Systems via Static Binary Debloating for Shared Libraries

[NDSS '22] Chosen-Instruction Attack Against Commercial Code Virtualization Obfuscators

[CCS '21] Towards Transparent and Stealthy Android OS Sandboxing via Customizable Container-Based Virtualization

[USENIX Security '21] MBA-Blast: Unveiling and Simplifying Mixed Boolean-Arithmetic Obfuscation

[USENIX Security '21] Obfuscation-Resilient Executable Payload Extraction From Packed Malware

[PLDI '21] Unleashing the Hidden Power of Compiler Optimization on Binary Code Difference: An Empirical Study

[PLDI '21] Boosting SMT Solver Performance on Mixed-Bitwise-Arithmetic Expressions

[ICSE '21] App's Auto-Login Function Security Testing via Android OS-Level Virtualization

[CCS '20] PatchScope: Memory Object Centric Patch Diffing

[CCS '20] VAHunt: Warding Off New Repackaged Android Malware in App-Virtualization's Clothing

[MobiSys '19] "Jekyll and Hyde" is Risky: Shared-Everything Threat Mitigation in Dual-Instance Apps

[CCS '18] VMHunt: A Verifiable Approach to Partial-Virtualized Binary Code Simplification

[CCS '18] Towards Paving the Way for Large-Scale Windows Malware Analysis: Generic Binary Unpacking with Orders-of-Magnitude Performance Boost

[USENIX Security '18] Towards Predicting Efficient and Anonymous Tor Circuits

[USENIX Security '17] BinSim: Trace-based Semantic Binary Diffing via System Call Sliced Segment Equivalence Checking

[S&P '17] Cryptographic Function Detection in Obfuscated Binaries via Bit-precise Symbolic Loop Mapping

[ASE '16] StraightTaint: Decoupled Offline Symbolic Taint Analysis

[CCS '15] LOOP: Logic-Oriented Opaque Predicate Detection in Obfuscated Binary Code

[USENIX Security '15] TaintPipe: Pipelined Symbolic Taint Analysis

[FSE '14] Semantics-Based Obfuscation-Resilient Binary Code Similarity Comparison with Applications to Software Plagiarism Detection

Research Team Members

Photography