zhiboliu@nju:~$ whoami --verbose
Zhibo Liu profile photo 
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Zhibo Liu (刘智博)
ROLE Associate Professor @ School of Computer Science, Nanjing University
LOCATION Nanjing, China
FOCUS Software Security, AI Security, Binary Analysis, Reverse Engineering
STATS 29 publications · 2 distinguished paper awards · 1 postdoctoral fellowship
UPDATED March 2026

Zhibo Liu has been an Associate Professor in the School of Computer Science at Nanjing University since 2026.

Previously, he was a Postdoctoral Researcher at the Hong Kong University of Science and Technology (HKUST) from 2023 to 2025, supported by the HK RGC Postdoctoral Fellowship Scheme.

He obtained his Ph.D. in 2023 from the Department of Computer Science and Engineering at HKUST, under the supervision of Prof. Shuai Wang. Before joining HKUST, he received his B.Eng. degree from Nankai University in 2019.

His current research focuses on software reverse engineering and binary analysis, with broader interests in computer security and software engineering.

📣I am looking for motivated students and collaborators in software security and software engineering. Feel free to email me if you are interested in working together!
zhiboliu@nju:~$ cat ~/contact.json | jq . 
{
  "message": "Feel free to reach out!",
  "email": "zhiboliu [at] nju [dot] edu [dot] cn",
  "location": "Nanjing, China",
  "address": "163 Xianlin Avenue, Qixia District, Nanjing, Jiangsu, China",
  "office": "Xianlin Campus, Computer Science and Technology Building 706",
  "github": "github.com/monkbai",
  "scholar": "scholar.google.com/citations?hl=en&user=kIsmHd4AAAAJ",
  "orcid": "orcid.org/0000-0002-7872-1129",
  "cv": "files/CV-Zhibo_Liu.pdf",
  "website": "monkbai.github.io"
}
zhiboliu@nju:~$ tail -f ~/news.log
2026.02 NEW Joined Nanjing University.
2025.05 AWARD CipherSteal (IEEE S&P 2025) received a Distinguished Paper Award.
2024.12 TALK Black Hat Europe talk on side-channel and bit-flip attack surfaces in DNN executables.
2024.03 AWARD Received HKUST CSE Best PhD Dissertation Award (2022-23) - Honorable Mention.
2023.12 AWARD Supported by HK RGC Postdoctoral Fellowship Scheme (PDFS).
2023.09 AWARD ACM SIGSOFT Distinguished Paper Award at ASE 2023.
2023.08 TALK Presented 'BTD: Unleashing the Power of Decompilation for x86 Deep Neural Network Executables' at Black Hat USA 2023.
zhiboliu@nju:~$ cat ~/experience.yml 
experience:
  - role: Associate Professor
    institution: School of Computer Science, Nanjing University
    period: Jan 2026 – Present
  - role: Postdoctoral Researcher
    institution: Hong Kong University of Science and Technology
    period: Oct 2023 – Dec 2025
education:
  - degree: Ph.D. in Computer Science
    institution: Hong Kong University of Science and Technology
    period: Sept 2019 – Sept 2023
  - degree: B.E. in Information Security
    institution: Nankai University
    period: Sept 2015 – June 2019
zhiboliu@nju:~$ cat ~/services.md
Program Committee Member
  • 2026: CCS
Reviewer
  • 2026: TDSC
  • 2025: TDSC, TIFS, TOSEM, TPDS
  • 2024: TDSC
  • 2023: TIFS, TDSC
Artifact Evaluation Committee
  • 2023: USENIX Security, ISSTA
  • 2022: ISSTA, OSDI, USENIX ATC, WiSec
External Reviewer
  • 2025: IEEE S&P
  • 2024: IEEE S&P, USENIX Security
  • 2023: IEEE S&P, USENIX Security, ISSTA, NeurIPS, SANER ERA Track
  • 2022: ASE, NDSS BAR, CCS, AsiaCCS
  • 2020: TIFS, ICICS, ICSE SEIP
zhiboliu@nju:~$ cat ~/teaching.log
2023 TA Teaching Assistant for COMP 3632: Principles of Cybersecurity (HKUST, Spring 2023)
2020 TA Teaching Assistant for COMP 3632: Principles of Cybersecurity (HKUST, Fall 2020)
2020 TA Teaching Assistant for COMP 3632: Principles of Cybersecurity (HKUST, Spring 2020)
zhiboliu@nju:~/papers$ ls --sort=year --desc
(* denotes corresponding author)
year paper
2026 No More Translation at Runtime: LLM-Empowered Static Binary Translation Zhibo Liu, Huaijin Wang, Wai Kin Wong, Daoyuan Wu, and Shuai Wang. EuroSys 2026 [paper]
2025 The Phantom Menace in PET-Hardened Deep Learning Models: Invisible Configuration-Induced Attacks Yiteng Peng, Dongwei Xiao, Zhibo Liu, Zhenlan Ji, Daoyuan Wu, Shuai Wang, and Juergen Rahmel. CCS 2025 [paper]
2025 An Empirical Study Measuring In-The-Wild Cryptographic Microarchitectural Side-Channel Patches Sen Deng, Zhibo Liu*, Shuai Wang, and Yinqian Zhang*. CCS 2025 [paper]
2025 Divergence-aware Testing of Graphics Shader Compiler Back-ends Dongwei Xiao, Shuai Wang, Zhibo Liu, Yiteng Peng, Daoyuan Wu, and Zhendong Su. PLDI 2025 Selected by MIT Programming Languages Review for an Invited Talk [paper]
2025 DecLLM: LLM-Augmented Recompilable Decompilation for Enabling Programmatic Use of Decompiled Code Wai Kin Wong, Daoyuan Wu*, Huaijin Wang, Zongjie Li, Zhibo Liu*, Shuai Wang*, Qiyi Tang, Sen Nie, and Shi Wu. ISSTA 2025 PACMSE 2025 featured article [paper]
2025 Preserving Privacy in Software Composition Analysis: A Study of Technical Solutions and Enhancements Huaijin Wang, Zhibo Liu*, Yanbo Dai, Shuai Wang, Qiyi Tang, Sen Nie, and Shi Wu. ICSE 2025 [paper]
2025 Testing and Understanding Deviation Behaviors in FHE-hardened Machine Learning Models Yiteng Peng, Daoyuan Wu, Zhibo Liu, Dongwei Xiao, Zhenlan Ji, Juergen Rahmel, and Shuai Wang. ICSE 2025 [paper]
2025 CipherSteal: Stealing Input Data from TEE-Shielded Neural Networks with Ciphertext Side Channels Yuanyuan Yuan, Zhibo Liu, Sen Deng, Ynazuo Chen, Shuai Wang, Yinqian Zhang, and Zhendong Su. IEEE S&P 2025 🏆 Distinguished Paper Award [paper]
2025 MTZK: Testing and Exploring Bugs in Zero-Knowledge (ZK) Compilers Dongwei Xiao, Zhibo Liu*, Yiteng Peng, and Shuai Wang* NDSS 2025 [paper]
2025 BitShield: Defending Against Bit-Flip Attacks on DNN Executables Yanzuo Chen, Yuanyuan Yuan, Zhibo Liu, Sihang Hu, Tianxiang Li, and Shuai Wang NDSS 2025 [paper]
2025 Compiled Models, Built-In Exploits: Uncovering Pervasive Bit-Flip Attack Surfaces in DNN Executables Yanzuo Chen, Zhibo Liu, Yuanyuan Yuan, Sihang Hu, Tianxiang Li, and Shuai Wang NDSS 2025 [paper]
2024 The Devil is in the (Micro-) Architectures: Uncovering New Side-Channel and Bit-Flip Attack Surfaces in DNN Executables Yanzuo Chen, Zhibo Liu (co-speaker), Yuanyuan Yuan, Tianxiang Li, Sihang Hu, Zhihui Lin, and Shuai Wang Black Hat Europe 2024 [talk]
2024 DeepCache: Revisiting Cache Side-Channel Attacks in Deep Neural Networks Executables Zhibo Liu, Yuanyuan Yuan, Yanzuo Chen, Sihang Hu, Tianxiang Li, and Shuai Wang CCS 2024 [paper][fixed_paper]
2024 HyperTheft: Thieving Model Weights from TEE-Shielded Neural Networks via Ciphertext Side Channels Yuanyuan Yuan, Zhibo Liu, Sen Deng, Yanzuo Chen, Shuai Wang, Yinqian Zhang, and Zhendong Su CCS 2024 [paper]
2024 Are We There Yet? Filling the Gap Between ML-Based Binary Similarity Analysis and Binary Software Composition Analysis Huaijin Wang, Zhibo Liu*, Shuai Wang*, Ying Wang, Qiyi Tang, Sen Nie, Shi Wu Euro S&P 2024 [paper]
2024 DTD: Comprehensive and Scalable Testing for Debuggers Hongyi Lu, Zhibo Liu*, Shuai Wang, and Fengwei Zhang* FSE 2024 [paper]
2024 Metamorphic Testing of Secure Multi-Party Computation (MPC) Compilers Yichen Li, Dongwei Xiao, Zhibo Liu, Qi Pang, and Shuai Wang FSE 2024 [paper]
2024 Evaluating C/C++ Vulnerability Detectability of Query-Based Static Application Security Testing Tools Zongjie Li, Zhibo Liu, Wai Kin Wong, Pingchuan Ma, and Shuai Wang TDSC 2024 [paper]
2023 PHYFU: Fuzzing Modern Physics Simulation Engines Dongwei Xiao, Zhibo Liu, Shuai Wang. ASE 2023 🏆 ACM SIGSOT Distinguished Paper Award [paper]
2023 BTD: Unleashing the Power of Decompilation for x86 Deep Neural Network Executables Zhibo Liu, Yuanyuan Yuan, Xiaofei Xie, Tianxiang Li, Wenqiang Li, and Shuai Wang. Black Hat USA 2023 [talk]
2023 Exploring Missed Optimizations in WebAssembly Optimizers Zhibo Liu, Dongwei Xiao, Zongjie Li, Shuai Wang, Wei Meng. ISSTA 2023 [paper][preprint]
2023 Metamorphic Shader Fusion for Testing Graphics Shader Compilers Dongwei Xiao, Zhibo Liu, Shuai Wang. ICSE 2023 [paper]
2023 CCTEST: Testing and Repairing Code Completion Systems Zongjie Li, Chaozheng Wang, Zhibo Liu, Haoxuan Wang, Dong Chen, Shuai Wang, Cuiyun Gao. ICSE 2023 [paper]
2023 CacheQL: Quantifying and Localizing Cache Side-Channel Vulnerabilities in Production Software Yuanyuan Yuan, Zhibo Liu, Shuai Wang. USENIX Security 2023 [paper][code]
2023 Decompiling x86 Deep Neural Network Executables Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Xiaofei Xie, Lei Ma. USENIX Security 2023 🎉 Artifact badges: Available, Functional, Reproduced [paper][extended][code][repo]
2022 Enhancing DNN-Based Binary Code Function Search With Low-Cost Equivalence Checking Huaijin Wang, Pingchuan Ma, Yuanyuan Yuan, Zhibo Liu, Shuai Wang, Qiyi Tang, Sen Nie, Shi Wu. TSE 2022 [paper][code]
2022 NeuralD: Detecting Indistinguishability Violations of Oblivious RAM with Neural Distinguishers Pingchuan Ma, Zhibo Liu, Yuanyuan Yuan, and Shuai Wang. IEEE T-IFS 2022 [paper][code]
2022 Metamorphic Testing of Deep Learning Compilers Dongwei Xiao, Zhibo Liu, Yuanyuan Yuan, Qi Pang, and Shuai Wang. SIGMETRICS 2022 [paper][code]
2022 SoK: Demystifying Binary Lifters Through the Lens of Downstream Applications Zhibo Liu, Yuanyuan Yuan, Shuai Wang, Yuyan Bao. IEEE S&P 2022 [paper][artifact]
2022 Cache Refinement Type for Side-channel Detection of Cryptographic Software Ke Jiang, Yuyan Bao, Shuai Wang, Zhibo Liu, Tianwei Zhang. CCS 2022 [paper]
2020 How far we have come: testing decompilation correctness of C decompilers Zhibo Liu, Shuai Wang. ISSTA 2020 🎉 Artifact badge: Functional [paper][code]
zhiboliu@nju:~$ cat ~/honors.log
2025 AWARD IEEE S&P Distinguished Paper Award
2024 AWARD Black Hat Europe Briefing Speaker (London, UK)
2023 AWARD HK RGC Postdoctoral Fellowship Scheme
2023 AWARD HKUST CSE Best PhD Dissertation Award (2022-23) - Honorable Mention
2023 AWARD ACM SIGSOFT Distinguished Paper Award at ASE 2023
2023 AWARD Black Hat USA Briefing Speaker (Las Vegas, USA)
2019-2023 AWARD HKUST Postgraduate Studentship
2022 AWARD HKUST Research Travel Grant
2022 AWARD HKUST RedBird Academic Excellence Award
zhiboliu@nju:~$ cat ~/misc.txt
The Good, the Bad, and the Bye Bye by Yanick 'reyammer' Fratantonio
zhiboliu@nju:~$ █