Minhui Xue

According to our database, Minhui Xue authored at least 112 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

NTD: Non-Transferability Enabled Deep Learning Backdoor Detection.

Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek Abbott

IEEE Trans. Inf. Forensics Secur., 2024

LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model.

Yuxin Cao, Jinghao Li, Xi Xiao, Derui Wang, Minhui Xue, Hao Ge, Wei Liu, Guangwu Hu

CoRR, 2024

The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns.

Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue

CoRR, 2024

MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.

Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Efficient Constrained K-center Clustering with Background Knowledge.

Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer.

Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography.

Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue

IEEE Trans. Comput. Soc. Syst., December, 2023

An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal

Dataset, August, 2023

An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal

Dataset, August, 2023

Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification.

Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan

CoRR, 2023

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.

Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan

CoRR, 2023

Unleashing Cheapfakes through Trojan Plugins of Large Language Models.

Tian Dong, Guoxing Chen, Shaofeng Li, Minhui Xue, Rayne Holland, Yan Meng, Zhen Liu, Haojin Zhu

CoRR, 2023

Bounded and Unbiased Composite Differential Privacy.

Kai Zhang, Yanjun Zhang, Ruoxi Sun, Pei-Wei Tsai, Muneeb Ul Hassan, Xin Yuan, Minhui Xue, Jinjun Chen

CoRR, 2023

VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints.

Aoting Hu, Zhigang Lu, Renjie Xie, Minhui Xue

CoRR, 2023

DeepTheft: Stealing DNN Model Architectures through Power Side Channel.

Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal

CoRR, 2023

A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services.

Hongsheng Hu, Shuo Wang, Jiamin Chang, Haonan Zhong, Ruoxi Sun, Shuang Hao, Haojin Zhu, Minhui Xue

CoRR, 2023

SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection.

Kunpeng Zhang, Xiaogang Zhu, Xiao Xi, Minhui Xue, Chao Zhang, Sheng Wen

CoRR, 2023

The "code" of Ethics: A Holistic Audit of AI Code Generators.

Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang

CoRR, 2023

Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution.

Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue

Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023

AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning.

Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu

Proceedings of the ACM Web Conference 2023, 2023

Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal

Proceedings of the ACM Web Conference 2023, 2023

Detecting Union Type Confusion in Component Object Model.

Yuxing Zhang, Xiaogang Zhu, Daojing He, Minhui Xue, Shouling Ji, Mohammad Sayad Haghighi, Sheng Wen, Zhiniang Peng

Proceedings of the 32nd USENIX Security Symposium, 2023

RAI4IoE: Responsible AI for Enabling the Internet of Energy.

Minhui Xue, Surya Nepal, Ling Liu, Subbu Sethuvenkatraman, Xingliang Yuan, Carsten Rudolph, Ruoxi Sun, Greg Eisenhauer

Proceedings of the 5th IEEE International Conference on Trust, 2023

PublicCheck: Public Integrity Verification for Services of Run-time Deep Models.

Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Ruoxi Sun, Minhui Xue, Surya Nepal, Seyit Camtepe, Salil S. Kanhere

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

StyleFool: Fooling Video Classification Systems via Style Transfer.

Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.

Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection.

Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

PPA: Preference Profiling Attack Against Federated Learning.

Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning.

Shuo Wang, Mahathir Almashor, Alsharif Abuadbba, Ruoxi Sun, Minhui Xue, Calvin Wang, Raj Gaire, Surya Nepal, Seyit Camtepe

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices.

Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

RAI2: Responsible Identity Audit Governing the Artificial Intelligence.

Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu, Zhen Liu

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.

He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan

Proceedings of the International Conference on Machine Learning, 2023

FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.

Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models.

Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen

Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security, 2023

Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact.

Yanli Li, Chongbin Ye, Huaming Chen, Shiping Chen, Minhui Xue, Jun Shen

Proceedings of the IEEE International Conference on Software Services Engineering, 2023

2022

Deep Learning Backdoors.

Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao

Security and Artificial Intelligence, 2022

Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples.

Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu

IEEE Trans. Neural Networks Learn. Syst., 2022

TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems.

Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe

IEEE Trans. Inf. Forensics Secur., 2022

Backdoors Against Natural Language Processing: A Review.

Shaofeng Li, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Suguo Du, Haojin Zhu

IEEE Secur. Priv., 2022

M^4I: Multi-modal Models Membership Inference.

Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue

CoRR, 2022

Cross-language Android permission specification.

Chaoran Li, Xiao Chen, Ruoxi Sun, Minhui Xue, Sheng Wen, Muhammad Ejaz Ahmed, Seyit Camtepe, Yang Xiang

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2022

M$^4$I: Multi-modal Models Membership Inference.

Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States.

Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen

Proceedings of the 44th IEEE/ACM 44th International Conference on Software Engineering, 2022

Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations.

Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Dissecting Malware in the Wild.

Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

Statically Detecting Adversarial Malware through Randomised Chaining.

Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue

Proceedings of the ACSW 2022: Australasian Computer Science Week 2022, Brisbane, Australia, February 14, 2022

2021

With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models.

Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Alina Oprea, Haifeng Qian

IEEE Trans. Inf. Forensics Secur., 2021

Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization.

Shaofeng Li, Minhui Xue, Benjamin Zi Hao Zhao, Haojin Zhu, Xinpeng Zhang

IEEE Trans. Dependable Secur. Comput., 2021

GUI-Squatting Attack: Automated Generation of Android Phishing Apps.

Sen Chen, Lingling Fan, Chunyang Chen, Minhui Xue, Yang Liu, Lihua Xu

IEEE Trans. Dependable Secur. Comput., 2021

The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services.

Yuantian Miao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Benjamin Zi Hao Zhao, Dali Kaafar, Yang Xiang

Proc. Priv. Enhancing Technol., 2021

Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks.

Wei Wang, Ruoxi Sun, Tian Dong, Shaofeng Li, Minhui Xue, Gareth Tyson, Haojin Zhu

CoRR, 2021

Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography.

Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu

CoRR, 2021

Delayed Rewards Calibration via Reward Empirical Sufficiency.

Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue

CoRR, 2021

Explainability-based Backdoor Attacks Against Graph Neural Networks.

Jing Xu, Minhui Xue, Stjepan Picek

Proceedings of the WiseML@WiSec 2021: Proceedings of the 3rd ACM Workshop on Wireless Security and Machine Learning, 2021

An Empirical Assessment of Global COVID-19 Contact Tracing Applications.

Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith C. Ranasinghe

Proceedings of the 43rd IEEE/ACM International Conference on Software Engineering: Companion Proceedings, 2021

Dissecting Click Fraud Autonomy in the Wild.

Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Understanding and Detecting Mobile Ad Fraud Through the Lens of Invalid Traffic.

Suibin Sun, Le Yu, Xiaokuan Zhang, Minhui Xue, Ren Zhou, Haojin Zhu, Shuang Hao, Xiaodong Lin

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Hidden Backdoors in Human-Centric Language Models.

Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing.

Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference.

Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang

Proceedings of the CCS '21: 2021 ACM SIGSAC Conference on Computer and Communications Security, Virtual Event, Republic of Korea, November 15, 2021

Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models.

Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian

Proceedings of the Information Security and Privacy - 26th Australasian Conference, 2021

2020

Deep Learning Backdoors.

Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao

CoRR, 2020

With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Online Regression Models.

Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian

CoRR, 2020

Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications.

Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith Ranasinghe

CoRR, 2020

iOS, Your OS, Everybody's OS: Vetting and Analyzing Network Services of iOS Applications.

Zhushou Tang, Ke Tang, Minhui Xue, Yuan Tian, Sen Chen, Muhammad Ikram, Tielei Wang, Haojin Zhu

Proceedings of the 29th USENIX Security Symposium, 2020

VenueTrace: a privacy-by-design COVID-19 digital contact tracing solution: poster abstract.

Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Damith C. Ranasinghe

Proceedings of the SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems, 2020

Exploring the Eastern Frontier: A First Look at Mobile App Tracking in China.

Zhaohua Wang, Zhenyu Li, Minhui Xue, Gareth Tyson

Proceedings of the Passive and Active Measurement - 21st International Conference, 2020

An Automated Assessment of Android Clipboards.

Wei Wang, Ruoxi Sun, Minhui Xue, Damith C. Ranasinghe

Proceedings of the 35th IEEE/ACM International Conference on Automated Software Engineering, 2020

An empirical assessment of security risks of global Android banking apps.

Sen Chen, Lingling Fan, Guozhu Meng, Ting Su, Minhui Xue, Yinxing Xue, Yang Liu, Lihua Xu

Proceedings of the ICSE '20: 42nd International Conference on Software Engineering, Seoul, South Korea, 27 June, 2020

Quality Assessment of Online Automated Privacy Policy Generators: An Empirical Study.

Ruoxi Sun, Minhui Xue

Proceedings of the EASE '20: Evaluation and Assessment in Software Engineering, 2020

PALOR: Poisoning Attacks Against Logistic Regression.

Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian

Proceedings of the Information Security and Privacy - 25th Australasian Conference, 2020

2019

Invisible Backdoor Attacks Against Deep Neural Networks.

Shaofeng Li, Benjamin Zi Hao Zhao, Jiahao Yu, Minhui Xue, Dali Kaafar, Haojin Zhu

CoRR, 2019

The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT.

Yuantian Miao, Benjamin Zi Hao Zhao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Dali Kaafar, Yang Xiang

CoRR, 2019

Securing android applications via edge assistant third-party library detection.

Zhushou Tang, Minhui Xue, Guozhu Meng, Chengguo Ying, Yugeng Liu, Jianan He, Haojin Zhu, Yang Liu

Comput. Secur., 2019

DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems.

Lei Ma, Felix Juefei-Xu, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao

Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

Measuring and Analyzing Search Engine Poisoning of Linguistic Collisions.

Matthew Joslin, Neng Li, Shuang Hao, Minhui Xue, Haojin Zhu

Proceedings of the 2019 IEEE Symposium on Security and Privacy, 2019

No-jump-into-latency in China's internet!: toward last-mile hop count based IP geo-localization.

Chong Xiang, Xinyu Wang, Qingrong Chen, Minhui Xue, Zhaoyu Gao, Haojin Zhu, Cailian Chen, Qiuhua Fan

Proceedings of the International Symposium on Quality of Service, 2019

DeepHunter: a coverage-guided fuzz testing framework for deep neural networks.

Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See

Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, 2019

Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights Into Global Migration Flows.

Minhui Xue, Xin Yuan, Heather Lee, Keith W. Ross

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2018

Differentially Private Data Generative Models.

Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu

CoRR, 2018

Secure Deep Learning Engineering: A Software Quality Assurance Perspective.

Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See

CoRR, 2018

Coverage-Guided Fuzzing for Deep Neural Networks.

Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See

CoRR, 2018

Combinatorial Testing for Deep Learning Systems.

Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang

CoRR, 2018

AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps.

Sen Chen, Guozhu Meng, Ting Su, Lingling Fan, Yinxing Xue, Yang Liu, Lihua Xu, Minhui Xue, Bo Li, Shuang Hao

CoRR, 2018

Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights into Global Migration Flows.

Minhui Xue, Alexandru Grigoras, Heather Lee, Keith W. Ross

CoRR, 2018

DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems.

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

CoRR, 2018

Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach.

Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu, Bo Li

Comput. Secur., 2018

Modeling Privacy Leakage Risks in Large-Scale Social Networks.

Suguo Du, Xiaolong Li, Jinli Zhong, Lu Zhou, Minhui Xue, Haojin Zhu, Limin Sun

IEEE Access, 2018

FACTS: automated black-box testing of FinTech systems.

Qingshun Wang, Lintao Gu, Minhui Xue, Lihua Xu, Wenyu Niu, Liang Dou, Liang He, Tao Xie

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Are mobile banking apps secure? what can be improved?

Sen Chen, Ting Su, Lingling Fan, Guozhu Meng, Minhui Xue, Yang Liu, Lihua Xu

Proceedings of the 2018 ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2018

Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks.

Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross

Proceedings of the 25th Annual Network and Distributed System Security Symposium, 2018

DeepGauge: multi-granularity testing criteria for deep learning systems.

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

Proceedings of the 33rd ACM/IEEE International Conference on Automated Software Engineering, 2018

DeepMutation: Mutation Testing of Deep Learning Systems.

Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang

Proceedings of the 29th IEEE International Symposium on Software Reliability Engineering, 2018

APPCLASSIFIER: Automated App Inference on Encrypted Traffic via Meta Data Analysis.

Chong Xiang, Qingrong Chen, Minhui Xue, Haojin Zhu

Proceedings of the IEEE Global Communications Conference, 2018

2017

Characterizing user behaviors in location-based find-and-flirt services: Anonymity and demographics - A WeChat Case Study.

Minhui Xue, Limin Yang, Keith W. Ross, Haifeng Qian

Peer-to-Peer Netw. Appl., 2017

Hardening Malware Detection Systems Against Cyber Maneuvers: An Adversarial Machine Learning Approach.

Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu

CoRR, 2017

Revisiting Localization Attacks in Mobile App People-Nearby Services.

Jialin Wang, Hanni Cheng, Minhui Xue, Xiaojun Hei

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2017

When program analysis meets mobile security: an industrial study of misusing Android internet sockets.

Wenqi Bu, Minhui Xue, Lihua Xu, Yajin Zhou, Zhushou Tang, Tao Xie

Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering, 2017

Unleash the Power for Tensor: A Hybrid Malware Detection System Using Ensemble Classifiers.

Jieqiong Hou, Minhui Xue, Haifeng Qian

Proceedings of the 2017 IEEE International Symposium on Parallel and Distributed Processing with Applications and 2017 IEEE International Conference on Ubiquitous Computing and Communications (ISPA/IUCC), 2017

Fake reviews tell no tales? Dissecting click farming in content-generated social networks.

Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, Haojin Zhu

Proceedings of the 2017 IEEE/CIC International Conference on Communications in China, 2017

2016

Thwarting location privacy protection in location-based social discovery services.

Minhui Xue, Yong Liu, Keith W. Ross, Haifeng Qian

Secur. Commun. Networks, 2016

The Right to be Forgotten in the Media: A Data-Driven Study.

Minhui Xue, Gabriel Magno, Evandro Cunha, Virgílio A. F. Almeida, Keith W. Ross

Proc. Priv. Enhancing Technol., 2016

On the Impact of Location Errors on Localization Attacks in Location-Based Social Network Services.

Hanni Cheng, Shiling Mao, Minhui Xue, Xiaojun Hei

Proceedings of the Security, Privacy, and Anonymity in Computation, Communication, and Storage, 2016

Towards adversarial detection of mobile malware: poster.

Sen Chen, Minhui Xue, Lihua Xu

Proceedings of the 22nd Annual International Conference on Mobile Computing and Networking, 2016

You Can Yak but You Can't Hide: Localizing Anonymous Social Network Users.

Minhui Xue, Cameron L. Ballard, Kelvin Liu, Carson L. Nemelka, Yanqiu Wu, Keith W. Ross, Haifeng Qian

Proceedings of the 2016 ACM on Internet Measurement Conference, 2016

POSTER: Accuracy vs. Time Cost: Detecting Android Malware through Pareto Ensemble Pruning.

Lingling Fan, Minhui Xue, Sen Chen, Lihua Xu, Haojin Zhu

Proceedings of the 2016 ACM SIGSAC Conference on Computer and Communications Security, 2016

StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware.

Sen Chen, Minhui Xue, Zhushou Tang, Lihua Xu, Haojin Zhu

Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security, 2016

2015

Data-Driven Privacy Analytics: A WeChat Case Study in Location-Based Social Networks.

Rongrong Wang, Minhui Xue, Kelvin Liu, Haifeng Qian

Proceedings of the Wireless Algorithms, Systems, and Applications, 2015

Attacks and Defenses in Location-Based Social Networks: A Heuristic Number Theory Approach.

Jiawen Peng, Yan Meng, Minhui Xue, Xiaojun Hei, Keith W. Ross

Proceedings of the International Symposium on Security and Privacy in Social Networks and Big Data, 2015

I know where you are: Thwarting privacy protection in location-based social discovery services.

Minhui Xue, Yong Liu, Keith W. Ross, Haifeng Qian

Proceedings of the 2015 IEEE Conference on Computer Communications Workshops, 2015

You Can Yak But You Can't Hide.

Carson L. Nemelka, Cameron L. Ballard, Kelvin Liu, Minhui Xue, Keith W. Ross

Proceedings of the 2015 ACM on Conference on Online Social Networks, 2015