Guozhu Meng

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 77

Top Topics

Mobile Platform

Malware Detection

Diffusion Models

Top Venues

Publications

Qintao Shen, Guozhu Meng, Kai Chen
Revealing the exploitability of heap overflow through PoC analysis. Cybersecur. 7 (1) (2024)
Jiachen Zhou, Peizhuo Lv, Yibing Lan, Guozhu Meng, Kai Chen, Hualong Ma
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models. AAAI (2024)
Tong Liu, Yingjie Zhang, Zhe Zhao, Yinpeng Dong, Guozhu Meng, Kai Chen
Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction. USENIX Security Symposium (2024)
Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR (2024)
Tong Liu, Yingjie Zhang, Zhe Zhao, Yinpeng Dong, Guozhu Meng, Kai Chen
Making Them Ask and Answer: Jailbreaking Large Language Models in Few Queries via Disguise and Reconstruction. CoRR (2024)
Yuling Cai, Fan Xiang, Guozhu Meng, Yinzhi Cao, Kai Chen
AuthNet: Neural Network with Integrated Authentication Logic. CoRR (2024)
Zhixiu Guo, Ruigang Liang, Guozhu Meng, Kai Chen
SkillSim: voice apps similarity detection. Cybersecur. 6 (1) (2023)
Shangqing Liu, Xiaofei Xie, Jing Kai Siow, Lei Ma, Guozhu Meng, Yang Liu
GraphSearchNet: Enhancing GNNs via Capturing Global Dependencies for Semantic Code Search. IEEE Trans. Software Eng. 49 (4) (2023)
Weihao Huang, Guozhu Meng, Chaoyang Lin, Qiucun Yan, Kai Chen, Zhuo Ma
Are our clone detectors good enough? An empirical study of code effects by obfuscation. Cybersecur. 6 (1) (2023)
Cheng'an Wei, Yeonjoon Lee, Kai Chen, Guozhu Meng, Peizhuo Lv
Aliasing Backdoor Attacks on Pre-trained Models. USENIX Security Symposium (2023)
Zizhuang Deng, Guozhu Meng, Kai Chen, Tong Liu, Lu Xiang, Chunyang Chen
Differential Testing of Cross Deep Learning Framework APIs: Revealing Inconsistencies and Vulnerabilities. USENIX Security Symposium (2023)
Jiachen Zhou, Peizhuo Lv, Yibing Lan, Guozhu Meng, Kai Chen, Hualong Ma
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models. CoRR (2023)
Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu
Fairness via Group Contribution Matching. IJCAI (2023)
Weihao Huang, Chaoyang Lin, Qiucun Yan, Lu Xiang, Zhiyu Zhang, Guozhu Meng, Kai Chen
FMDiv: Functional Module Division on Binary Malware for Accurate Malicious Code Localization. CSCWD (2023)
Jinwen He, Kai Chen, Guozhu Meng, Jiangshan Zhang, Congyi Li
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing. CCS (2023)
Tong Liu, Zizhuang Deng, Guozhu Meng, Yuekang Li, Kai Chen
Demystifying RCE Vulnerabilities in LLM-Integrated Apps. CoRR (2023)
Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR (2023)
Jinwen He, Kai Chen, Guozhu Meng, Jiangshan Zhang, Congyi Li
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing. CoRR (2023)
Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang
ConFL: Constraint-guided Fuzzing for Machine Learning Framework. CoRR (2023)
Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE (2023)
Huajun Cui, Guozhu Meng, Yan Zhang, Weiping Wang, Dali Zhu, Ting Su, Xiaodong Zhang, Yuejun Li
TraceDroid: A Robust Network Traffic Analysis Framework for Privacy Leakage in Android Apps. SciSec (2022)
Yuejun Li, Huajun Cui, Jiyan Sun, Yan Zhang, Yueqi Li, Guozhu Meng, Weiping Wang
Automated Privacy Network Traffic Detection via Self-labeling and Learning. ISCC (2022)
Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu
TransRepair: Context-aware Program Repair for Compilation Errors. ASE (2022)
Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He
Towards Security Threats of Deep Learning Systems: A Survey. IEEE Trans. Software Eng. 48 (5) (2022)
Yan-Fu Li, Yinxing Xue, Lei Ma, Shengjian Guo, Guozhu Meng
Message from the RAIS 2022 Chairs. ISSRE Workshops (2022)
Peizhuo Lv, Pan Li, Shenchen Zhu, Shengzhi Zhang, Kai Chen, Ruigang Liang, Chang Yue, Fan Xiang, Yuling Cai, Hualong Ma, Yingjun Zhang, Guozhu Meng
SSL-WM: A Black-Box Watermarking Approach for Encoders Pre-trained by Self-supervised Learning. CoRR (2022)
Liu Wang, Haoyu Wang, Ren He, Ran Tao, Guozhu Meng, Xiapu Luo, Xuanzhe Liu
MalRadar: Demystifying Android Malware in the New Era. Proc. ACM Meas. Anal. Comput. Syst. 6 (2) (2022)
Liu Wang, Haoyu Wang, Ren He, Ran Tao, Guozhu Meng, Xiapu Luo, Xuanzhe Liu
MalRadar: Demystifying Android Malware in the New Era. SIGMETRICS (Abstracts) (2022)
Zizhuang Deng, Kai Chen, Guozhu Meng, Xiaodong Zhang, Ke Xu, Yao Cheng
Understanding Real-world Threats to Deep Learning Models in Android Apps. CoRR (2022)
Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu
Learning Program Semantics with Code Representations: An Empirical Study. CoRR (2022)
Zizhuang Deng, Kai Chen, Guozhu Meng, Xiaodong Zhang, Ke Xu, Yao Cheng
Understanding Real-world Threats to Deep Learning Models in Android Apps. CCS (2022)
Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu
Learning Program Semantics with Code Representations: An Empirical Study. SANER (2022)
Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu
TransRepair: Context-aware Program Repair for Compilation Errors. CoRR (2022)
Qintao Shen, Hongyu Sun, Guozhu Meng, Kai Chen, Yuqing Zhang
Detecting API Missing-Check Bugs Through Complete Cross Checking of Erroneous Returns. Inscrypt (2022)
Ruishi Li, Yunfei Yang, Jinghua Liu, Peiwei Hu, Guozhu Meng
The inconsistency of documentation: a study of online C standard library documents. Cybersecur. 5 (1) (2022)
Huajun Cui, Guozhu Meng, Yueqi Li, Yuejun Li, Yan Zhang, Jiyan Sun, Dali Zhu, Weiping Wang
LibHunter: An Unsupervised Approach for Third-party Library Detection without Prior Knowledge. ISCC (2022)
Ruitao Feng, Sen Chen, Xiaofei Xie, Guozhu Meng, Shang-Wei Lin, Yang Liu
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Yuekang Li, Guozhu Meng, Jun Xu, Cen Zhang, Hongxu Chen, Xiaofei Xie, Haijun Wang, Yang Liu
Vall-nut: Principled Anti-Grey box - Fuzzing. ISSRE (2021)
Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He
DRMI: A Dataset Reduction Technology based on Mutual Information for Black-box Attacks. USENIX Security Symposium (2021)
Xingbo Hu, Yibing Lan, Ruimin Gao, Guozhu Meng, Kai Chen
Why is Your Trojan NOT Responding? A Quantitative Analysis of Failures in Backdoor Attacks of Neural Networks. ICA3PP (3) (2021)
Shuang Liu, Baiyang Zhao, Renjie Guo, Guozhu Meng, Fan Zhang, Meishan Zhang
Have You been Properly Notified? Automatic Compliance Analysis of Privacy Policy Text with GDPR Article 13. WWW (2021)
Dongsong Yu, Guangliang Yang, Guozhu Meng, Xiaorui Gong, Xiu Zhang, Xiaobo Xiang, Xiaoyu Wang, Yue Jiang, Kai Chen, Wei Zou, Wenke Lee, Wenchang Shi
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization. WWW (2021)
Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks. CoRR (2021)
Dongsong Yu, Guangliang Yang, Guozhu Meng, Xiaorui Gong, Xiu Zhang, Xiaobo Xiang, Xiaoyu Wang, Yue Jiang, Kai Chen, Wei Zou, Wenke Lee, Wenchang Shi
SEPAL: Towards a Large-scale Analysis of SEAndroid Policy Customization. CoRR (2021)
Sen Chen, Lingling Fan, Guozhu Meng, Ting Su, Minhui Xue, Yinxing Xue, Yang Liu, Lihua Xu
An empirical assessment of security risks of global Android banking apps. ICSE (2020)
Bingchang Liu, Guozhu Meng, Wei Zou, Qi Gong, Feng Li, Min Lin, Dandan Sun, Wei Huo, Chao Zhang
A large-scale empirical study on vulnerability distribution within projects and the lessons learned. ICSE (2020)
Xiang Chen, Yingquan Zhao, Zhanqi Cui, Guozhu Meng, Yang Liu, Zan Wang
Large-Scale Empirical Studies on Effort-Aware Security Vulnerability Prediction Methods. IEEE Trans. Reliab. 69 (1) (2020)
Wei Wang, Guozhu Meng, Haoyu Wang, Kai Chen, Weimin Ge, Xiaohong Li
A3Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps. CoRR (2020)
Ruitao Feng, Sen Chen, Xiaofei Xie, Guozhu Meng, Shang-Wei Lin, Yang Liu
A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices. CoRR (2020)
Wei Wang, Guozhu Meng, Haoyu Wang, Kai Chen, Weimin Ge, Xiaohong Li
Ident: A Two-phased Approach to Identify the Leading Authors of Android Apps. ICSME (2020)
Ruitao Feng, Sen Chen, Xiaofei Xie, Lei Ma, Guozhu Meng, Yang Liu, Shang-Wei Lin
MobiDroid: A Performance-Sensitive Malware Detection System on Mobile Platform. ICECCS (2019)
Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He
Towards Privacy and Security of Deep Learning Systems: A Survey. CoRR (2019)
Guozhu Meng, Matthew Patrick, Yinxing Xue, Yang Liu, Jie Zhang
Securing Android App Markets via Modeling and Predicting Malware Spread Between Markets. IEEE Trans. Inf. Forensics Secur. 14 (7) (2019)
Ruitao Feng, Guozhu Meng, Xiaofei Xie, Ting Su, Yang Liu, Shang-Wei Lin
Learning Performance Optimization from Code Changes for Android Apps. ICST Workshops (2019)
Zhushou Tang, Minhui Xue, Guozhu Meng, Chengguo Ying, Yugeng Liu, Jianan He, Haojin Zhu, Yang Liu
Securing android applications via edge assistant third-party library detection. Comput. Secur. 80 (2019)
Mingming Zha, Guozhu Meng, Chaoyang Lin, Zhe Zhou, Kai Chen
RoLMA: A Practical Adversarial Attack Against Deep Learning-Based LPR Systems. Inscrypt (2019)
Haoyu Wang, Hongxuan Liu, Xusheng Xiao, Guozhu Meng, Yao Guo
Characterizing Android App Signing Issues. ASE (2019)
Sen Chen, Ting Su, Lingling Fan, Guozhu Meng, Minhui Xue, Yang Liu, Lihua Xu
Are mobile banking apps secure? what can be improved? ESEC/SIGSOFT FSE (2018)
Guozhu Meng, Ruitao Feng, Guangdong Bai, Kai Chen, Yang Liu
DroidEcho: an in-depth dissection of malicious behaviors in Android applications. Cybersecur. 1 (1) (2018)
Chunyang Chen, Ting Su, Guozhu Meng, Zhenchang Xing, Yang Liu
From UI design image to GUI skeleton: a neural machine translator to bootstrap mobile GUI implementation. ICSE (2018)
Sen Chen, Guozhu Meng, Ting Su, Lingling Fan, Yinxing Xue, Yang Liu, Lihua Xu, Minhui Xue, Bo Li, Shuang Hao
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps. CoRR (2018)
Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu, Zhendong Su
Large-scale analysis of framework-specific exceptions in Android apps. ICSE (2018)
Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu, Zhendong Su
Large-Scale Analysis of Framework-Specific Exceptions in Android Apps. CoRR (2018)
Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu
Efficiently Manifesting Asynchronous Programming Errors in Android Apps. CoRR (2018)
Ning Zhang, Guangquan Xu, Guozhu Meng, Xi Zheng
SoProtector: Securing Native C/C++ Libraries for Mobile Applications. ICA3PP (3) (2018)
Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu
Efficiently manifesting asynchronous programming errors in Android apps. ASE (2018)
Yinxing Xue, Guozhu Meng, Yang Liu, Tian Huat Tan, Hongxu Chen, Jun Sun, Jie Zhang
Auditing Anti-Malware Tools by Evolving Android Malware and Dynamic Loading Technique. IEEE Trans. Inf. Forensics Secur. 12 (7) (2017)
Liang He, Guozhu Meng, Yu Gu, Cong Liu, Jun Sun, Ting Zhu, Yang Liu, Kang G. Shin
Battery-Aware Mobile Data Service. IEEE Trans. Mob. Comput. 16 (6) (2017)
Ting Su, Guozhu Meng, Yuting Chen, Ke Wu, Weiming Yang, Yao Yao, Geguang Pu, Yang Liu, Zhendong Su
Guided, stochastic model-based GUI testing of Android apps. ESEC/SIGSOFT FSE (2017)
Liang He, Eugene Kim, Kang G. Shin, Guozhu Meng, Tian He
Battery state-of-health estimation for mobile devices. ICCPS (2017)
Yun Lin, Guozhu Meng, Yinxing Xue, Zhenchang Xing, Jun Sun, Xin Peng, Yang Liu, Wenyun Zhao, Jin Song Dong
Mining implicit design templates for actionable code reuse. ASE (2017)
Guozhu Meng, Yinxing Xue, Jing Kai Siow, Ting Su, Annamalai Narayanan, Yang Liu
AndroVault: Constructing Knowledge Graph from Millions of Android Apps for Automated Analysis. CoRR (2017)
Annamalai Narayanan, Guozhu Meng, Yang Liu, Jinliang Liu, Lihui Chen
Contextual Weisfeiler-Lehman Graph Kernel For Malware Detection. CoRR (2016)
Guozhu Meng, Yinxing Xue, Zhengzi Xu, Yang Liu, Jie Zhang, Annamalai Narayanan
Semantic modelling of Android malware for effective malware comprehension, detection, and classification. ISSTA (2016)
Annamalai Narayanan, Guozhu Meng, Yang Liu, Jinliang Liu, Lihui Chen
Contextual Weisfeiler-Lehman graph kernel for malware detection. IJCNN (2016)
Guozhu Meng, Yinxing Xue, Mahinthan Chandramohan, Annamalai Narayanan, Yang Liu, Jie Zhang, Tieming Chen
Mystique: Evolving Android Malware for Auditing Anti-Malware Tools. AsiaCCS (2016)
Guozhu Meng, Yang Liu, Jie Zhang, Alexander Pokluda, Raouf Boutaba
Collaborative Security: A Survey and Taxonomy. ACM Comput. Surv. 48 (1) (2015)
Guangdong Bai, Jike Lei, Guozhu Meng, Sai Sathyanarayan Venkatraman, Prateek Saxena, Jun Sun, Yang Liu, Jin Song Dong
AUTHSCAN: Automatic Extraction of Web Authentication Protocols from Implementations. NDSS (2013)