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Books and Theses
- 2017
[b1]Guozhu Meng:
A semantic-based analysis of Android malware for detection, generation, and trend analysis. Nanyang Technological University, Singapore, 2017
Journal Articles
- 2024
- [j15]Qintao Shen
, Guozhu Meng, Kai Chen:
Revealing the exploitability of heap overflow through PoC analysis. Cybersecur. 7(1): 47 (2024) - 2023
- [j14]Zhixiu Guo, Ruigang Liang, Guozhu Meng, Kai Chen:
SkillSim: voice apps similarity detection. Cybersecur. 6(1): 13 (2023) - [j13]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): 14 (2023) - [j12]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): 2839-2855 (2023) - 2022
- [j11]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): 14 (2022) - [j10]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): 40:1-40:27 (2022) - [j9]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): 1743-1770 (2022) - 2021
- [j8]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: 1563-1578 (2021) - 2020
- [j7]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): 70-87 (2020) - 2019
- [j6]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: 257-272 (2019) - [j5]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): 1944-1959 (2019) - 2018
- [j4]Guozhu Meng, Ruitao Feng, Guangdong Bai, Kai Chen, Yang Liu:
DroidEcho: an in-depth dissection of malicious behaviors in Android applications. Cybersecur. 1(1): 4 (2018) - 2017
- [j3]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): 1529-1544 (2017) - [j2]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): 1544-1558 (2017) - 2015
- [j1]Guozhu Meng, Yang Liu, Jie Zhang, Alexander Pokluda, Raouf Boutaba:
Collaborative Security: A Survey and Taxonomy. ACM Comput. Surv. 48(1): 1:1-1:42 (2015)
Conference and Workshop Papers
- 2024
- [c42]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: 21850-21858 - [c41]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. NDSS 2024 - [c40]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 - 2023
- [c39]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: 431-445 - [c38]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: 947-952 - [c37]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. ICSE 2023: 2476-2487 - [c36]Tianlin Li, Zhiming Li, Anran Li, Mengnan Du, Aishan Liu, Qing Guo, Guozhu Meng, Yang Liu:
Fairness via Group Contribution Matching. IJCAI 2023: 436-445 - [c35]Cheng'an Wei, Yeonjoon Lee, Kai Chen, Guozhu Meng, Peizhuo Lv:
Aliasing Backdoor Attacks on Pre-trained Models. USENIX Security Symposium 2023: 2707-2724 - [c34]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: 7393-7410 - 2022
- [c33]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: 785-799 - [c32]Qintao Shen, Hongyu Sun, Guozhu Meng, Kai Chen, Yuqing Zhang:
Detecting API Missing-Check Bugs Through Complete Cross Checking of Erroneous Returns. Inscrypt 2022: 391-407 - [c31]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: 1-7 - [c30]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: 1-8 - [c29]Yan-Fu Li, Yinxing Xue, Lei Ma, Shengjian Guo, Guozhu Meng:
Message from the RAIS 2022 Chairs. ISSRE Workshops 2022: xxxviii - [c28]Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu:
TransRepair: Context-aware Program Repair for Compilation Errors. ASE 2022: 108:1-108:13 - [c27]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: 541-556 - [c26]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: 21-22 - [c25]Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu:
Learning Program Semantics with Code Representations: An Empirical Study. SANER 2022: 554-565 - 2021
- [c24]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: 754-771 - [c23]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: 288-299 - [c22]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: 1901-1918 - [c21]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: 2154-2164 - [c20]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: 2733-2744 - 2020
- [c19]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: 1310-1322 - [c18]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: 1547-1559 - [c17]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. ICSME 2020: 617-628 - 2019
- [c16]Mingming Zha, Guozhu Meng, Chaoyang Lin, Zhe Zhou, Kai Chen:
RoLMA: A Practical Adversarial Attack Against Deep Learning-Based LPR Systems. Inscrypt 2019: 101-117 - [c15]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: 61-70 - [c14]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: 285-290 - [c13]Haoyu Wang, Hongxuan Liu, Xusheng Xiao, Guozhu Meng, Yao Guo:
Characterizing Android App Signing Issues. ASE 2019: 280-292 - 2018
- [c12]Ning Zhang, Guangquan Xu, Guozhu Meng, Xi Zheng:
SoProtector: Securing Native C/C++ Libraries for Mobile Applications. ICA3PP (3) 2018: 417-431 - [c11]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: 408-419 - [c10]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: 665-676 - [c9]Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu:
Efficiently manifesting asynchronous programming errors in Android apps. ASE 2018: 486-497 - [c8]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: 797-802 - 2017
- [c7]Liang He, Eugene Kim, Kang G. Shin, Guozhu Meng, Tian He:
Battery state-of-health estimation for mobile devices. ICCPS 2017: 51-60 - [c6]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: 394-404 - [c5]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: 245-256 - 2016
- [c4]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: 365-376 - [c3]Annamalai Narayanan, Guozhu Meng, Yang Liu, Jinliang Liu, Lihui Chen:
Contextual Weisfeiler-Lehman graph kernel for malware detection. IJCNN 2016: 4701-4708 - [c2]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: 306-317 - 2013
- [c1]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
Editorship
- 2018
- [e1]Li Li, Guozhu Meng, Jacques Klein, Sam Malek:
Proceedings of the 1st International Workshop on Advances in Mobile App Analysis, A-Mobile@ASE 2018, Montpellier, France, September 4, 2018. ACM 2018 [contents]
Informal and Other Publications
- 2024
- [i23]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 abs/2402.18104 (2024) - [i22]Mingfei Cheng, Yuan Zhou, Xiaofei Xie, Junjie Wang, Guozhu Meng, Kairui Yang:
Evaluating Decision Optimality of Autonomous Driving via Metamorphic Testing. CoRR abs/2402.18393 (2024) - [i21]Yuling Cai, Fan Xiang, Guozhu Meng, Yinzhi Cao, Kai Chen:
AuthNet: Neural Network with Integrated Authentication Logic. CoRR abs/2405.15426 (2024) - [i20]Jiachen Zhou, Mingsi Wang, Tianlin Li, Guozhu Meng, Kai Chen:
Dormant: Defending against Pose-driven Human Image Animation. CoRR abs/2409.14424 (2024) - 2023
- [i19]Shangqing Liu, Bozhi Wu, Xiaofei Xie, Guozhu Meng, Yang Liu:
ContraBERT: Enhancing Code Pre-trained Models via Contrastive Learning. CoRR abs/2301.09072 (2023) - [i18]Zhao Liu, Quanchen Zou, Tian Yu, Xuan Wang, Guozhu Meng, Kai Chen, Deyue Zhang:
ConFL: Constraint-guided Fuzzing for Machine Learning Framework. CoRR abs/2307.05642 (2023) - [i17]Tong Liu, Zizhuang Deng, Guozhu Meng, Yuekang Li, Kai Chen:
Demystifying RCE Vulnerabilities in LLM-Integrated Apps. CoRR abs/2309.02926 (2023) - [i16]Jinwen He, Kai Chen, Guozhu Meng, Jiangshan Zhang, Congyi Li:
Good-looking but Lacking Faithfulness: Understanding Local Explanation Methods through Trend-based Testing. CoRR abs/2309.05679 (2023) - [i15]Jiachen Zhou, Peizhuo Lv, Yibing Lan, Guozhu Meng, Kai Chen, Hualong Ma:
DataElixir: Purifying Poisoned Dataset to Mitigate Backdoor Attacks via Diffusion Models. CoRR abs/2312.11057 (2023) - 2022
- [i14]Jing Kai Siow, Shangqing Liu, Xiaofei Xie, Guozhu Meng, Yang Liu:
Learning Program Semantics with Code Representations: An Empirical Study. CoRR abs/2203.11790 (2022) - [i13]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 abs/2209.03563 (2022) - [i12]Zizhuang Deng, Kai Chen, Guozhu Meng, Xiaodong Zhang, Ke Xu, Yao Cheng:
Understanding Real-world Threats to Deep Learning Models in Android Apps. CoRR abs/2209.09577 (2022) - [i11]Xueyang Li, Shangqing Liu, Ruitao Feng, Guozhu Meng, Xiaofei Xie, Kai Chen, Yang Liu:
TransRepair: Context-aware Program Repair for Compilation Errors. CoRR abs/2210.03986 (2022) - 2021
- [i10]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 abs/2102.09764 (2021) - [i9]Yingzhe He, Guozhu Meng, Kai Chen, Jinwen He, Xingbo Hu:
DeepObliviate: A Powerful Charm for Erasing Data Residual Memory in Deep Neural Networks. CoRR abs/2105.06209 (2021) - 2020
- [i8]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 abs/2005.04970 (2020) - [i7]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 abs/2008.13768 (2020) - 2019
- [i6]Yingzhe He, Guozhu Meng, Kai Chen, Xingbo Hu, Jinwen He:
Towards Privacy and Security of Deep Learning Systems: A Survey. CoRR abs/1911.12562 (2019) - 2018
- [i5]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 abs/1801.07009 (2018) - [i4]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 abs/1805.05236 (2018) - [i3]Lingling Fan, Ting Su, Sen Chen, Guozhu Meng, Yang Liu, Lihua Xu, Geguang Pu:
Efficiently Manifesting Asynchronous Programming Errors in Android Apps. CoRR abs/1808.03178 (2018) - 2017
- [i2]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 abs/1711.07451 (2017) - 2016
- [i1]Annamalai Narayanan, Guozhu Meng, Yang Liu, Jinliang Liu, Lihui Chen:
Contextual Weisfeiler-Lehman Graph Kernel For Malware Detection. CoRR abs/1606.06369 (2016)
Coauthor Index
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