AUTHSCAN: Automatic Extraction of Web Authentication Protocols from Implementations. - Guangdong Bai; Jike Lei; Guozhu Meng; Sai Sathyanarayan Venkatraman; Prateek Saxena; Jun Sun 001; Yang Liu 003; Jin Song Dong (NDSS, 2013)

Collaborative Security: A Survey and Taxonomy. - Guozhu Meng; Yang Liu 003; Jie Zhang 002; Alexander Pokluda; Raouf Boutaba (ACM Comput. Surv., 2015)

Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. - Guozhu Meng; Yinxing Xue; Mahinthan Chandramohan; Annamalai Narayanan; Yang Liu 003; Jie Zhang 002; Tieming Chen (AsiaCCS, 2016)

Contextual Weisfeiler-Lehman graph kernel for malware detection. - Annamalai Narayanan; Guozhu Meng; Yang Liu 003; Jinliang Liu; Lihui Chen 001 (IJCNN, 2016)

Semantic modelling of Android malware for effective malware comprehension, detection, and classification. - Guozhu Meng; Yinxing Xue; Zhengzi Xu; Yang Liu 003; Jie Zhang 002; Annamalai Narayanan (ISSTA, 2016)

Battery state-of-health estimation for mobile devices. - Liang He 002; Eugene Kim; Kang G. Shin; Guozhu Meng; Tian He 001 (ICCPS, 2017)

Mining implicit design templates for actionable code reuse. - Yun Lin 001; Guozhu Meng; Yinxing Xue; Zhenchang Xing; Jun Sun 001; Xin Peng 001; Yang Liu 003; Wenyun Zhao; Jin Song Dong 001 (ASE, 2017)

Guided, stochastic model-based GUI testing of Android apps. - Ting Su 001; Guozhu Meng; Yuting Chen 001; Ke Wu; Weiming Yang; Yao Yao; Geguang Pu; Yang Liu 003; Zhendong Su 001 (ESEC/SIGSOFT FSE, 2017)

AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis. - Guozhu Meng; Yinxing Xue; Jing Kai Siow; Ting Su 001; Annamalai Narayanan; Yang Liu 003 (CoRR, 2017)

Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique. - Yinxing Xue; Guozhu Meng; Yang Liu 003; Tian Huat Tan; Hongxu Chen 001; Jun Sun 001; Jie Zhang 002 (IEEE Trans. Inf. Forensics Secur., 2017)

Battery-Aware Mobile Data Service. - Liang He 002; Guozhu Meng; Yu Gu 001; Cong Liu 005; Jun Sun 001; Ting Zhu 001; Yang Liu 003; Kang G. Shin (IEEE Trans. Mob. Comput., 2017)

A semantic-based analysis of Android malware for detection, generation, and trend analysis - Guozhu Meng (2017)

SoProtector: Securing Native C/C++ Libraries for Mobile Applications. - Ning Zhang; Guangquan Xu; Guozhu Meng; Xi Zheng 001 (ICA3PP (3), 2018)

From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation. - Chunyang Chen 001; Ting Su 001; Guozhu Meng; Zhenchang Xing; Yang Liu 003 (ICSE, 2018)

Large-scale analysis of framework-specific exceptions in Android apps. - Lingling Fan 003; Ting Su 001; Sen Chen 001; Guozhu Meng; Yang Liu 003; Lihua Xu; Geguang Pu; Zhendong Su 001 (ICSE, 2018)

Efficiently manifesting asynchronous programming errors in Android apps. - Lingling Fan 003; Ting Su 001; Sen Chen 001; Guozhu Meng; Yang Liu 003; Lihua Xu; Geguang Pu (ASE, 2018)

Are mobile banking apps secure? what can be improved? - Sen Chen 001; Ting Su 001; Lingling Fan 003; Guozhu Meng; Minhui Xue 001; Yang Liu 003; Lihua Xu (ESEC/SIGSOFT FSE, 2018)

AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps. - Sen Chen 001; Guozhu Meng; Ting Su 001; Lingling Fan 003; Yinxing Xue; Yang Liu 003; Lihua Xu; Minhui Xue 001; Bo Li 026; Shuang Hao 001 (CoRR, 2018)

DroidEcho: an in-depth dissection of malicious behaviors in Android applications. - Guozhu Meng; Ruitao Feng; Guangdong Bai; Kai Chen 012; Yang Liu 003 (Cybersecur., 2018)

RoLMA: A Practical Adversarial Attack Against Deep Learning-Based LPR Systems. - Mingming Zha 001; Guozhu Meng; Chaoyang Lin; Zhe Zhou 001; Kai Chen 012 (Inscrypt, 2019)

MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform. - Ruitao Feng; Sen Chen 001; Xiaofei Xie; Lei Ma 003; Guozhu Meng; Yang Liu 003; Shang-Wei Lin 001 (ICECCS, 2019)

Learning Performance Optimization from Code Changes for Android Apps. - Ruitao Feng; Guozhu Meng; Xiaofei Xie; Ting Su 001; Yang Liu 003; Shang-Wei Lin 001 (ICST Workshops, 2019)

Characterizing Android App Signing Issues. - Haoyu Wang 001; Hongxuan Liu; Xusheng Xiao; Guozhu Meng; Yao Guo 001 (ASE, 2019)

Securing android applications via edge assistant third-party library detection. - Zhushou Tang; Minhui Xue 001; Guozhu Meng; Chengguo Ying; Yugeng Liu; Jianan He; Haojin Zhu; Yang Liu 003 (Comput. Secur., 2019)

Towards Privacy and Security of Deep Learning Systems: A Survey. - Yingzhe He; Guozhu Meng; Kai Chen 012; Xingbo Hu; Jinwen He (CoRR, 2019)

Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets. - Guozhu Meng; Matthew Patrick; Yinxing Xue; Yang Liu 003; Jie Zhang 002 (IEEE Trans. Inf. Forensics Secur., 2019)

An empirical assessment of security risks of global Android banking apps. - Sen Chen 001; Lingling Fan 003; Guozhu Meng; Ting Su 001; Minhui Xue 001; Yinxing Xue; Yang Liu 003; Lihua Xu (ICSE, 2020)

A large-scale empirical study on vulnerability distribution within projects and the lessons learned. - Bingchang Liu; Guozhu Meng; Wei Zou; Qi Gong; Feng Li 045; Min Lin; Dandan Sun; Wei Huo; Chao Zhang 008 (ICSE, 2020)

A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps. - Wei Wang 277; Guozhu Meng; Haoyu Wang 001; Kai Chen 012; Weimin Ge; Xiaohong Li 001 (ICSME, 2020)

A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps. - Wei Wang 277; Guozhu Meng; Haoyu Wang 001; Kai Chen 012; Weimin Ge; Xiaohong Li 001 (CoRR, 2020)

Large-Scale Empirical Studies on Effort-Aware Security Vulnerability Prediction Methods. - Xiang Chen 005; Yingquan Zhao; Zhanqi Cui; Guozhu Meng; Yang Liu 003; Zan Wang (IEEE Trans. Reliab., 2020)

Why is Your Trojan NOT Responding? A Quantitative Analysis of Failures in Backdoor Attacks of Neural Networks. - Xingbo Hu; Yibing Lan; Ruimin Gao; Guozhu Meng; Kai Chen 012 (ICA3PP (3), 2021)

Vall-nut: Principled Anti-Grey box - Fuzzing. - Yuekang Li; Guozhu Meng; Jun Xu 024; Cen Zhang; Hongxu Chen 001; Xiaofei Xie; Haijun Wang 002; Yang Liu 003 (ISSRE, 2021)

DRMI: A Dataset Reduction Technology based on Mutual Information for Black-box Attacks. - Yingzhe He; Guozhu Meng; Kai Chen 012; Xingbo Hu; Jinwen He (USENIX Security Symposium, 2021)

Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13. - Shuang Liu 007; Baiyang Zhao; Renjie Guo; Guozhu Meng; Fan Zhang; Meishan Zhang (WWW, 2021)

SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization. - Dongsong Yu; Guangliang Yang 001; Guozhu Meng; Xiaorui Gong; Xiu Zhang; Xiaobo Xiang; Xiaoyu Wang; Yue Jiang; Kai Chen 012; Wei Zou; Wenke Lee; Wenchang Shi (WWW, 2021)

DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks. - Yingzhe He; Guozhu Meng; Kai Chen 012; Jinwen He; Xingbo Hu (CoRR, 2021)

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices. - Ruitao Feng; Sen Chen 001; Xiaofei Xie; Guozhu Meng; Shang-Wei Lin 001; Yang Liu 003 (IEEE Trans. Inf. Forensics Secur., 2021)

Understanding Real-world Threats to Deep Learning Models in Android Apps. - Zizhuang Deng; Kai Chen 012; Guozhu Meng; Xiaodong Zhang 014; Ke Xu; Yao Cheng (CCS, 2022)

Detecting API Missing-Check Bugs Through Complete Cross Checking of Erroneous Returns. - Qintao Shen; Hongyu Sun; Guozhu Meng; Kai Chen 012; Yuqing Zhang 001 (Inscrypt, 2022)

LibHunter: An Unsupervised Approach for Third-party Library Detection without Prior Knowledge. - Huajun Cui; Guozhu Meng; Yueqi Li; Yuejun Li; Yan Zhang 014; Jiyan Sun; Dali Zhu; Weiping Wang 005 (ISCC, 2022)

Automated Privacy Network Traffic Detection via Self-labeling and Learning. - Yuejun Li; Huajun Cui; Jiyan Sun; Yan Zhang 014; Yueqi Li; Guozhu Meng; Weiping Wang 005 (ISCC, 2022)

Message from the RAIS 2022 Chairs. - Yan-Fu Li; Yinxing Xue; Lei Ma 003; Shengjian Guo; Guozhu Meng (ISSRE Workshops, 2022)

TransRepair: Context-aware Program Repair for Compilation Errors. - Xueyang Li; Shangqing Liu; Ruitao Feng; Guozhu Meng; Xiaofei Xie; Kai Chen 012; Yang Liu 003 (ASE, 2022)

TraceDroid: A Robust Network Traffic Analysis Framework for Privacy Leakage in Android Apps. - Huajun Cui; Guozhu Meng; Yan Zhang 014; Weiping Wang 005; Dali Zhu; Ting Su 001; Xiaodong Zhang 014; Yuejun Li (SciSec, 2022)

Learning Program Semantics with Code Representations: An Empirical Study. - Jing Kai Siow; Shangqing Liu; Xiaofei Xie; Guozhu Meng; Yang Liu 003 (SANER, 2022)

The inconsistency of documentation: a study of online C standard library documents. - Ruishi Li; Yunfei Yang 001; Jinghua Liu; Peiwei Hu; Guozhu Meng (Cybersecur., 2022)

MalRadar: Demystifying Android Malware in the New Era. - Liu Wang 002; Haoyu Wang 001; Ren He; Ran Tao; Guozhu Meng; Xiapu Luo; Xuanzhe Liu (Proc. ACM Meas. Anal. Comput. Syst., 2022)

Towards Security Threats of Deep Learning Systems: A Survey. - Yingzhe He; Guozhu Meng; Kai Chen 012; Xingbo Hu; Jinwen He (IEEE Trans. Software Eng., 2022)

Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing. - Jinwen He; Kai Chen 012; Guozhu Meng; Jiangshan Zhang; Congyi Li (CCS, 2023)

FMDiv: Functional Module Division on Binary Malware for Accurate Malicious Code Localization. - Weihao Huang; Chaoyang Lin; Qiucun Yan; Lu Xiang; Zhiyu Zhang; Guozhu Meng; Kai Chen 012 (CSCWD, 2023)

ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. - Shangqing Liu; Bozhi Wu; Xiaofei Xie; Guozhu Meng; Yang Liu 003 (ICSE, 2023)

Fairness via Group Contribution Matching. - Tianlin Li; Zhiming Li; Anran Li 001; Mengnan Du; Aishan Liu; Qing Guo 005; Guozhu Meng; Yang Liu 003 (IJCAI, 2023)

Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities. - Zizhuang Deng; Guozhu Meng; Kai Chen 012; Tong Liu; Lu Xiang; Chunyang Chen 001 (USENIX Security Symposium, 2023)

Aliasing Backdoor Attacks on Pre-trained Models. - Cheng'an Wei; Yeonjoon Lee; Kai Chen 012; Guozhu Meng; Peizhuo Lv (USENIX Security Symposium, 2023)

ConFL: Constraint-guided Fuzzing for Machine Learning Framework. - Zhao Liu; Quanchen Zou; Tian Yu; Xuan Wang; Guozhu Meng; Kai Chen 012; Deyue Zhang (CoRR, 2023)

GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. - Shangqing Liu; Xiaofei Xie; Jing Kai Siow; Lei Ma 003; Guozhu Meng; Yang Liu 003 (IEEE Trans. Software Eng., 2023)

SkillSim: voice apps similarity detection. - Zhixiu Guo; Ruigang Liang; Guozhu Meng; Kai Chen 012 (Cybersecur., 2023)

Are our clone detectors good enough? An empirical study of code effects by obfuscation. - Weihao Huang; Guozhu Meng; Chaoyang Lin; Qiucun Yan; Kai Chen 012; Zhuo Ma 001 (Cybersecur., 2023)

DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models. - Jiachen Zhou 001; Peizhuo Lv; Yibing Lan; Guozhu Meng; Kai Chen 012; Hualong Ma (AAAI, 2024)

Demystifying RCE Vulnerabilities in LLM-Integrated Apps. - Tong Liu; Zizhuang Deng; Guozhu Meng; Yuekang Li; Kai Chen 012 (CCS, 2024)

Android Malware Family Labeling: Perspectives from the Industry. - Liu Wang 002; Haoyu Wang 001; Tao Zhang 001; Haitao Xu 002; Guozhu Meng; Peiming Gao; Chen Wei; Yi Wang 013 (ASE, 2024)

Attribution-guided Adversarial Code Prompt Generation for Code Completion Models. - Xueyang Li; Guozhu Meng; Shangqing Liu; Lu Xiang; Kun Sun; Kai Chen 012; Xiapu Luo; Yang Liu 003 (ASE, 2024)

SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-Supervised Learning. - Peizhuo Lv; Pan Li; Shenchen Zhu; Shengzhi Zhang; Kai Chen 012; Ruigang Liang; Chang Yue; Fan Xiang; Yuling Cai; Hualong Ma; Yingjun Zhang; Guozhu Meng (NDSS, 2024)

FAF-BM: An Approach for False Alerts Filtering Using BERT Model with Semi-supervised Active Learning. - Dan Du; Yunpeng Li 006; Yiyang Cao; Yuling Liu; Guozhu Meng; Ning Li; Dongxu Han; Huamin Feng (SciSec, 2024)

RTS: A Training-time Backdoor Defense Strategy Based on Weight Residual Tendency. - Fan Xiang; Xueyang Li; Guozhu Meng (TrustCom, 2024)

Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction. - Tong Liu; Yingjie Zhang; Zhe Zhao; Yinpeng Dong; Guozhu Meng; Kai Chen 012 (USENIX Security Symposium, 2024)

Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. - Mingfei Cheng; Yuan Zhou 005; Xiaofei Xie; Junjie Wang 007; Guozhu Meng; Kairui Yang (CoRR, 2024)

AuthNet: Neural Network with Integrated Authentication Logic. - Yuling Cai; Fan Xiang; Guozhu Meng; Yinzhi Cao; Kai Chen 012 (CoRR, 2024)

Dormant: Defending against Pose-driven Human Image Animation. - Jiachen Zhou 001; Mingsi Wang; Tianlin Li; Guozhu Meng; Kai Chen 012 (CoRR, 2024)

A Survey on Physical Adversarial Attacks against Face Recognition Systems. - Mingsi Wang; Jiachen Zhou 001; Tianlin Li; Guozhu Meng; Kai Chen 012 (CoRR, 2024)

Automated Commit Intelligence by Pre-training. - Shangqing Liu; Yanzhou Li; Xiaofei Xie; Wei Ma; Guozhu Meng; Yang Liu 003 (ACM Trans. Softw. Eng. Methodol., 2024)

Revealing the exploitability of heap overflow through PoC analysis. - Qintao Shen; Guozhu Meng; Kai Chen 012 (Cybersecur., 2024)

Decictor: Towards Evaluating the Robustness of Decision-Making in Autonomous Driving Systems. - Mingfei Cheng; Xiaofei Xie; Yuan Zhou 005; Junjie Wang 007; Guozhu Meng; Kairui Yang (ICSE, 2025)

SAP-DIFF: Semantic Adversarial Patch Generation for Black-Box Face Recognition Models via Diffusion Models. - Mingsi Wang; Shuaiyin Yao; Chang Yue; Lijie Zhang; Guozhu Meng (ICMR, 2025)

Deep learning-based software engineering: progress, challenges, and opportunities. - Xiangping Chen; Xing Hu 008; Yuan Huang 002; He Jiang 001; Weixing Ji; Yanjie Jiang; Yanyan Jiang 001; Bo Liu 094; Hui Liu 003; Xiaochen Li; Xiaoli Lian; Guozhu Meng; et al. (Sci. China Inf. Sci., 2025)

Recasting Type Hints from WebAssembly Contracts. - Kunsong Zhao; Zihao Li 001; Weimin Chen; Xiapu Luo; Ting Chen 002; Guozhu Meng; Yajin Zhou (Proc. ACM Softw. Eng., 2025)

MalFocus: Locating Malicious Modules in Malware Based on Hybrid Deep Learning. - Weihao Huang; Chaoyang Lin; Lu Xiang; Zhiyu Zhang; Guozhu Meng; Lei Xue 001; Kai Chen 012; Lei Meng; Zongming Zhang (IEEE Trans. Dependable Secur. Comput., 2025)

Align in Depth: Defending Jailbreak Attacks via Progressive Answer Detoxification. - Yingjie Zhang; Tong Liu; Zhe Zhao; Guozhu Meng; Kai Chen 012 (CoRR, 2025)

Measuring and Explaining the Effects of Android App Transformations in Online Malware Detection. - Guozhu Meng; Zhixiu Guo; Xiaodong Zhang 014; Haoyu Wang 001; Kai Chen 012; Yang Liu 003 (CoRR, 2025)