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2020 – today
- 2023
[c60]Yanli Li, Chongbin Ye, Huaming Chen, Shiping Chen, Minhui Xue, Jun Shen:
Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact. SSE 2023: 1-10- [c59]Zhibo Jin
, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen:
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. AsiaCCS 2023: 1031-1033 - [c58]He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan:
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. ICML 2023: 41737-41752 - [c57]Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu, Zhen Liu:
RAI2: Responsible Identity Audit Governing the Artificial Intelligence. NDSS 2023 - [c56]Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang:
The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices. NDSS 2023 - [c55]Shuo Wang, Mahathir Almashor, Alsharif Abuadbba, Ruoxi Sun, Minhui Xue, Calvin Wang, Raj Gaire, Surya Nepal, Seyit Camtepe:
DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning. NDSS 2023 - [c54]Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang:
PPA: Preference Profiling Attack Against Federated Learning. NDSS 2023 - [c53]Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen:
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning. ECML/PKDD (1) 2023: 147-163 - [c52]Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Ruoxi Sun, Minhui Xue, Surya Nepal, Seyit Camtepe, Salil S. Kanhere:
PublicCheck: Public Integrity Verification for Services of Run-time Deep Models. SP 2023: 1348-1365 - [c51]Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen:
StyleFool: Fooling Video Classification Systems via Style Transfer. SP 2023: 1631-1648 - [c50]Yuxing Zhang, Xiaogang Zhu, Daojing He, Minhui Xue, Shouling Ji, Mohammad Sayad Haghighi, Sheng Wen, Zhiniang Peng:
Detecting Union Type Confusion in Component Object Model. USENIX Security Symposium 2023 - [c49]Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue:
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. WWW (Companion Volume) 2023: 94-98 - [c48]Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal:
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. WWW 2023: 2166-2177 - [c47]Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu:
AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning. WWW 2023: 2371-2382 - [d2]Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal:
An Explainability-Guided Testing Framework for Robustness of Malware Detectors. Version 1. Zenodo, 2023 [all versions]
- [d1]Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal:
An Explainability-Guided Testing Framework for Robustness of Malware Detectors. Version 2. Zenodo, 2023 [all versions] - [i41]Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal:
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. CoRR abs/2303.09008 (2023) - [i40]Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue:
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. CoRR abs/2303.09272 (2023) - [i39]Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang:
The "code" of Ethics: A Holistic Audit of AI Code Generators. CoRR abs/2305.12747 (2023) - [i38]Kunpeng Zhang, Xiaogang Zhu, Xiao Xi, Minhui Xue, Chao Zhang, Sheng Wen:
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection. CoRR abs/2308.09239 (2023) - [i37]Hongsheng Hu, Shuo Wang, Jiamin Chang, Haonan Zhong, Ruoxi Sun, Shuang Hao, Haojin Zhu, Minhui Xue:
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services. CoRR abs/2309.08230 (2023) - [i36]Minhui Xue, Surya Nepal, Ling Liu, Subbu Sethuvenkatraman, Xingliang Yuan, Carsten Rudolph, Ruoxi Sun, Greg Eisenhauer:
RAI4IoE: Responsible AI for Enabling the Internet of Energy. CoRR abs/2309.11691 (2023) - [i35]Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal:
DeepTheft: Stealing DNN Model Architectures through Power Side Channel. CoRR abs/2309.11894 (2023) - 2022
- [j13]Shaofeng Li, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Suguo Du, Haojin Zhu:
Backdoors Against Natural Language Processing: A Review. IEEE Secur. Priv. 20(5): 50-59 (2022) - [j12]Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe:
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. IEEE Trans. Inf. Forensics Secur. 17: 3816-3830 (2022) - [j11]Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu:
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples. IEEE Trans. Neural Networks Learn. Syst. 33(11): 6976-6982 (2022) - [c46]Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue:
Dissecting Malware in the Wild. ACSW 2022: 56-64 - [c45]Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue:
Statically Detecting Adversarial Malware through Randomised Chaining. ACSW 2022: 91-95 - [c44]Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue:
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. CVPR 2022: 13420-13429 - [c43]Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen:
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. ICSE 2022: 1658-1668 - [c42]Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue:
M$^4$I: Multi-modal Models Membership Inference. NeurIPS 2022 - [c41]Chaoran Li, Xiao Chen, Ruoxi Sun, Minhui Xue, Sheng Wen, Muhammad Ejaz Ahmed, Seyit Camtepe, Yang Xiang:
Cross-language Android permission specification. ESEC/SIGSOFT FSE 2022: 772-783 - [p1]Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao:
Deep Learning Backdoors. Security and Artificial Intelligence 2022: 313-334 - [i34]Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen:
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. CoRR abs/2201.04441 (2022) - [i33]Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang:
PPA: Preference Profiling Attack Against Federated Learning. CoRR abs/2202.04856 (2022) - [i32]Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue:
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. CoRR abs/2202.08602 (2022) - [i31]Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen:
StyleFool: Fooling Video Classification Systems via Style Transfer. CoRR abs/2203.16000 (2022) - [i30]Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue:
M^4I: Multi-modal Models Membership Inference. CoRR abs/2209.06997 (2022) - [i29]Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang:
The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices. CoRR abs/2209.11715 (2022) - 2021
- [j10]Yuantian Miao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Benjamin Zi Hao Zhao, Dali Kaafar, Yang Xiang:
The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services. Proc. Priv. Enhancing Technol. 2021(1): 209-228 (2021) - [j9]Shaofeng Li, Minhui Xue, Benjamin Zi Hao Zhao, Haojin Zhu, Xinpeng Zhang:
Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization. IEEE Trans. Dependable Secur. Comput. 18(5): 2088-2105 (2021) - [j8]Sen Chen, Lingling Fan, Chunyang Chen, Minhui Xue, Yang Liu, Lihua Xu:
GUI-Squatting Attack: Automated Generation of Android Phishing Apps. IEEE Trans. Dependable Secur. Comput. 18(6): 2551-2568 (2021) - [j7]Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Alina Oprea, Haifeng Qian:
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models. IEEE Trans. Inf. Forensics Secur. 16: 3709-3723 (2021) - [c40]Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian:
Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models. ACISP 2021: 550-568 - [c39]Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu:
Dissecting Click Fraud Autonomy in the Wild. CCS 2021: 271-286 - [c38]Suibin Sun, Le Yu, Xiaokuan Zhang, Minhui Xue, Ren Zhou, Haojin Zhu, Shuang Hao, Xiaodong Lin:
Understanding and Detecting Mobile Ad Fraud Through the Lens of Invalid Traffic. CCS 2021: 287-303 - [c37]Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang:
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference. CCS 2021: 337-350 - [c36]Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue:
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. CCS 2021: 2096-2112 - [c35]Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu:
Hidden Backdoors in Human-Centric Language Models. CCS 2021: 3123-3140 - [c34]Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith C. Ranasinghe:
An Empirical Assessment of Global COVID-19 Contact Tracing Applications. ICSE (Companion Volume) 2021: 173-174 - [c33]Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith C. Ranasinghe:
An Empirical Assessment of Global COVID-19 Contact Tracing Applications. ICSE 2021: 1085-1097 - [c32]Jing Xu, Minhui Xue, Stjepan Picek:
Explainability-based Backdoor Attacks Against Graph Neural Networks. WiseML@WiSec 2021: 31-36 - [i28]Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue:
Delayed Rewards Calibration via Reward Empirical Sufficiency. CoRR abs/2102.10527 (2021) - [i27]Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian:
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models. CoRR abs/2102.11502 (2021) - [i26]Jing Xu, Minhui Xue, Stjepan Picek:
Explainability-based Backdoor Attacks Against Graph Neural Networks. CoRR abs/2104.03674 (2021) - [i25]Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu:
Hidden Backdoors in Human-Centric Language Models. CoRR abs/2105.00164 (2021) - [i24]Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang:
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference. CoRR abs/2105.05445 (2021) - [i23]Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu:
Dissecting Click Fraud Autonomy in the Wild. CoRR abs/2105.11103 (2021) - [i22]Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu:
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography. CoRR abs/2107.09287 (2021) - [i21]Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue:
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. CoRR abs/2107.13190 (2021) - [i20]Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe:
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. CoRR abs/2111.09999 (2021) - [i19]Wei Wang, Ruoxi Sun, Tian Dong, Shaofeng Li, Minhui Xue, Gareth Tyson, Haojin Zhu:
Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks. CoRR abs/2111.10085 (2021) - [i18]Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue:
Dissecting Malware in the Wild. CoRR abs/2111.14035 (2021) - [i17]Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue:
Statically Detecting Adversarial Malware through Randomised Chaining. CoRR abs/2111.14037 (2021) - 2020
- [c31]Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian:
PALOR: Poisoning Attacks Against Logistic Regression. ACISP 2020: 447-460 - [c30]Ruoxi Sun, Minhui Xue:
Quality Assessment of Online Automated Privacy Policy Generators: An Empirical Study. EASE 2020: 270-275 - [c29]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 - [c28]Wei Wang, Ruoxi Sun, Minhui Xue, Damith C. Ranasinghe:
An Automated Assessment of Android Clipboards. ASE 2020: 1249-1251 - [c27]Zhaohua Wang, Zhenyu Li, Minhui Xue, Gareth Tyson:
Exploring the Eastern Frontier: A First Look at Mobile App Tracking in China. PAM 2020: 314-328 - [c26]Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Damith C. Ranasinghe:
VenueTrace: a privacy-by-design COVID-19 digital contact tracing solution: poster abstract. SenSys 2020: 790-791 - [c25]Zhushou Tang, Ke Tang, Minhui Xue, Yuan Tian, Sen Chen, Muhammad Ikram, Tielei Wang, Haojin Zhu:
iOS, Your OS, Everybody's OS: Vetting and Analyzing Network Services of iOS Applications. USENIX Security Symposium 2020: 2415-2432 - [i16]Ruoxi Sun, Minhui Xue:
Quality Assessment of Online Automated Privacy Policy Generators: An Empirical Study. CoRR abs/2002.05341 (2020) - [i15]Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith Ranasinghe:
Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications. CoRR abs/2006.10933 (2020) - [i14]Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian:
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Online Regression Models. CoRR abs/2006.11928 (2020) - [i13]Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao:
Deep Learning Backdoors. CoRR abs/2007.08273 (2020)
2010 – 2019
- 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) - [c24]Minhui Xue, Xin Yuan, Heather Lee, Keith W. Ross:
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights Into Global Migration Flows. ICDM Workshops 2019: 603-608 - [c23]Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See:
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks. ISSTA 2019: 146-157 - [c22]Chong Xiang, Xinyu Wang, Qingrong Chen, Minhui Xue, Zhaoyu Gao, Haojin Zhu, Cailian Chen, Qiuhua Fan:
No-jump-into-latency in China's internet!: toward last-mile hop count based IP geo-localization. IWQoS 2019: 42:1-42:10 - [c21]Matthew Joslin, Neng Li, Shuang Hao, Minhui Xue, Haojin Zhu:
Measuring and Analyzing Search Engine Poisoning of Linguistic Collisions. IEEE Symposium on Security and Privacy 2019: 1311-1325 - [c20]Lei Ma, Felix Juefei-Xu, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao:
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems. SANER 2019: 614-618 - [i12]Yuantian Miao, Benjamin Zi Hao Zhao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Dali Kaafar, Yang Xiang:
The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT. CoRR abs/1905.07082 (2019) - [i11]Shaofeng Li, Benjamin Zi Hao Zhao, Jiahao Yu, Minhui Xue, Dali Kaafar, Haojin Zhu:
Invisible Backdoor Attacks Against Deep Neural Networks. CoRR abs/1909.02742 (2019) - 2018
- [j5]Suguo Du, Xiaolong Li, Jinli Zhong, Lu Zhou, Minhui Xue, Haojin Zhu, Limin Sun:
Modeling Privacy Leakage Risks in Large-Scale Social Networks. IEEE Access 6: 17653-17665 (2018) - [j4]Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu, Bo Li:
Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach. Comput. Secur. 73: 326-344 (2018) - [c19]Chong Xiang, Qingrong Chen, Minhui Xue, Haojin Zhu:
APPCLASSIFIER: Automated App Inference on Encrypted Traffic via Meta Data Analysis. GLOBECOM 2018: 1-7 - [c18]Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepMutation: Mutation Testing of Deep Learning Systems. ISSRE 2018: 100-111 - [c17]Lei Ma, Felix Juefei-Xu, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Chunyang Chen, Ting Su, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepGauge: multi-granularity testing criteria for deep learning systems. ASE 2018: 120-131 - [c16]Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross:
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks. NDSS 2018 - [c15]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 - [c14]Qingshun Wang, Lintao Gu, Minhui Xue, Lihua Xu, Wenyu Niu, Liang Dou, Liang He, Tao Xie:
FACTS: automated black-box testing of FinTech systems. ESEC/SIGSOFT FSE 2018: 839-844 - [i10]Lei Ma, Felix Juefei-Xu, Jiyuan Sun, Chunyang Chen, Ting Su, Fuyuan Zhang, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems. CoRR abs/1803.07519 (2018) - [i9]Minhui Xue, Alexandru Grigoras, Heather Lee, Keith W. Ross:
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights into Global Migration Flows. CoRR abs/1803.08256 (2018) - [i8]Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang:
DeepMutation: Mutation Testing of Deep Learning Systems. CoRR abs/1805.05206 (2018) - [i7]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) - [i6]Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang:
Combinatorial Testing for Deep Learning Systems. CoRR abs/1806.07723 (2018) - [i5]Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Coverage-Guided Fuzzing for Deep Neural Networks. CoRR abs/1809.01266 (2018) - [i4]Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See:
Secure Deep Learning Engineering: A Software Quality Assurance Perspective. CoRR abs/1810.04538 (2018) - [i3]Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu:
Differentially Private Data Generative Models. CoRR abs/1812.02274 (2018) - 2017
- [j3]Minhui Xue, Limin Yang, Keith W. Ross, Haifeng Qian:
Characterizing user behaviors in location-based find-and-flirt services: Anonymity and demographics - A WeChat Case Study. Peer-to-Peer Netw. Appl. 10(2): 357-367 (2017) - [c13]Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, Haojin Zhu:
Fake reviews tell no tales? Dissecting click farming in content-generated social networks. ICCC 2017: 1-6 - [c12]Jieqiong Hou, Minhui Xue, Haifeng Qian:
Unleash the Power for Tensor: A Hybrid Malware Detection System Using Ensemble Classifiers. ISPA/IUCC 2017: 1130-1137 - [c11]Wenqi Bu, Minhui Xue, Lihua Xu, Yajin Zhou, Zhushou Tang, Tao Xie:
When program analysis meets mobile security: an industrial study of misusing Android internet sockets. ESEC/SIGSOFT FSE 2017: 842-847 - [c10]Jialin Wang, Hanni Cheng, Minhui Xue, Xiaojun Hei:
Revisiting Localization Attacks in Mobile App People-Nearby Services. SpaCCS 2017: 17-30 - [i2]Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu:
Hardening Malware Detection Systems Against Cyber Maneuvers: An Adversarial Machine Learning Approach. CoRR abs/1706.04146 (2017) - [i1]Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross:
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks. CoRR abs/1709.06916 (2017) - 2016
- [j2]Minhui Xue, Gabriel Magno, Evandro Cunha, Virgílio A. F. Almeida, Keith W. Ross:
The Right to be Forgotten in the Media: A Data-Driven Study. Proc. Priv. Enhancing Technol. 2016(4): 389-402 (2016) - [j1]Minhui Xue, Yong Liu, Keith W. Ross, Haifeng Qian:
Thwarting location privacy protection in location-based social discovery services. Secur. Commun. Networks 9(11): 1496-1508 (2016) - [c9]Sen Chen, Minhui Xue, Zhushou Tang, Lihua Xu, Haojin Zhu:
StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware. AsiaCCS 2016: 377-388 - [c8]Lingling Fan, Minhui Xue, Sen Chen, Lihua Xu, Haojin Zhu:
POSTER: Accuracy vs. Time Cost: Detecting Android Malware through Pareto Ensemble Pruning. CCS 2016: 1748-1750 - [c7]Minhui Xue, Cameron L. Ballard, Kelvin Liu, Carson L. Nemelka, Yanqiu Wu, Keith W. Ross, Haifeng Qian:
You Can Yak but You Can't Hide: Localizing Anonymous Social Network Users. Internet Measurement Conference 2016: 25-31 - [c6]