Minhui Xue

ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 148

Top Venues

CoRR

USENIX Security Symposium

CCS

NDSS

Publications

Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Qi Alfred Chen, Minhui Xue
DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts. USENIX Security Symposium (2024)
Yuxin Cao, Jinghao Li, Xi Xiao, Derui Wang, Minhui Xue, Hao Ge, Wei Liu, Guangwu Hu
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model. SP (Workshops) (2024)
Shuofeng Liu, Zihan Wang, Minhui Xue, Long Wang, Yuanchao Zhang, Guangdong Bai
Being Transparent is Merely the Beginning: Enforcing Purpose Limitation with Polynomial Approximation. USENIX Security Symposium (2024)
Haichen Wang, Shuchao Pang, Zhigang Lu, Yihang Rao, Yongbin Zhou, Minhui Xue
dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis. USENIX Security Symposium (2024)
Zehang Deng, Ruoxi Sun, Minhui Xue, Sheng Wen, Seyit Camtepe, Surya Nepal, Yang Xiang
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure. CoRR (2024)
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks. AAAI (2024)
Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue
QUEEN: Query Unlearning against Model Extraction. CoRR (2024)
Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
Provably Unlearnable Examples. CoRR (2024)
Yuxin Cao, Yumeng Zhu, Derui Wang, Sheng Wen, Minhui Xue, Jin Lu, Hao Ge
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems. CoRR (2024)
Yuxin Cao, Jinghao Li, Xi Xiao, Derui Wang, Minhui Xue, Hao Ge, Wei Liu, Guangwu Hu
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model. CoRR (2024)
Shaofeng Li, Xinyu Wang, Minhui Xue, Haojin Zhu, Zhi Zhang, Yansong Gao, Wen Wu, Xuemin (Sherman) Shen
Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection. USENIX Security Symposium (2024)
Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue
Efficient Constrained K-center Clustering with Background Knowledge. AAAI (2024)
Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue
Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. WWW (2024)
Hua Ma, Huming Qiu, Yansong Gao, Zhi Zhang, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Jiliang Zhang, Said F. Al-Sarawi, Derek Abbott
Quantization Backdoors to Deep Learning Commercial Frameworks. IEEE Trans. Dependable Secur. Comput. 21 (3) (2024)
Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer. AAAI (2024)
Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue
The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns. CoRR (2024)
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
On Security Weaknesses and Vulnerabilities in Deep Learning Systems. CoRR (2024)
Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue
The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns. WWW (Companion Volume) (2024)
Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue
Efficient Constrained k-Center Clustering with Background Knowledge. CoRR (2024)
Aoting Hu, Zhigang Lu, Renjie Xie, Minhui Xue
${\sf VeriDIP}$VeriDIP: Verifying Ownership of Deep Neural Networks Through Privacy Leakage Fingerprints. IEEE Trans. Dependable Secur. Comput. 21 (4) (2024)
Ruoxi Sun, Hanwen Wang, Minhui Xue, Hsiang-Ting Chen
PPVR: A Privacy-Preserving Approach for User Behaviors in VR. VR Workshops (2024)
Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience. WWW (2024)
Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. CoRR (2024)
Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek Abbott
NTD: Non-Transferability Enabled Deep Learning Backdoor Detection. IEEE Trans. Inf. Forensics Secur. 19 (2024)
Ziqi Wang, Xiaoyu Xia, Minhui Xue, Ibrahim Khalil, Minghui Liwang, Xun Yi
GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing. WWW (2024)
Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Pathum Chamikara Mahawaga Arachchige, Chehara Pathmabandu, Minhui Xue
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. CoRR (2023)
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. TPS-ISA (2023)
Tian Dong, Guoxing Chen, Shaofeng Li, Minhui Xue, Rayne Holland, Yan Meng, Zhen Liu, Haojin Zhu
Unleashing Cheapfakes through Trojan Plugins of Large Language Models. CoRR (2023)
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)
Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning. CIKM (2023)
Aoting Hu, Zhigang Lu, Renjie Xie, Minhui Xue
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints. CoRR (2023)
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 (2023)
Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Pathum Chamikara Mahawaga Arachchige, Chehara Pathmabandu, Minhui Xue
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution. WWW (Companion Volume) (2023)
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks. CoRR (2023)
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)
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 (2023)
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)
Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection. CoRR (2023)
Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection. NeurIPS (2023)
Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer. CoRR (2023)
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)
Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors. ESEC/SIGSOFT FSE (2023)
Kai Zhang, Yanjun Zhang, Ruoxi Sun, Pei-Wei Tsai, Muneeb Ul Hassan, Xin Yuan, Minhui Xue, Jinjun Chen
Bounded and Unbiased Composite Differential Privacy. CoRR (2023)
Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models. AsiaCCS (2023)
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)
Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang
The "code" of Ethics: A Holistic Audit of AI Code Generators. CoRR (2023)
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 (2023)
Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu, Zhen Liu
RAI2: Responsible Identity Audit Governing the Artificial Intelligence. NDSS (2023)
Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen
StyleFool: Fooling Video Classification Systems via Style Transfer. SP (2023)
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)
Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang
The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices. NDSS (2023)
Kunpeng Zhang, Xiaogang Zhu, Xiao Xi, Minhui Xue, Chao Zhang, Sheng Wen
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection. CoRR (2023)
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)
Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. CoRR (2023)
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)
Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography. IEEE Trans. Comput. Soc. Syst. 10 (6) (2023)
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)
Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. CoRR (2023)
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 (2023)
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) (2022)
Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. CVPR (2022)
Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen
StyleFool: Fooling Video Classification Systems via Style Transfer. CoRR (2022)
Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue
Statically Detecting Adversarial Malware through Randomised Chaining. ACSW (2022)
Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue
M^4I: Multi-modal Models Membership Inference. CoRR (2022)
Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. CoRR (2022)
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 (2022)
Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States. CoRR (2022)
Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue
M$^4$I: Multi-modal Models Membership Inference. NeurIPS (2022)
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) (2022)
Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang
The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices. CoRR (2022)
Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue
Dissecting Malware in the Wild. ACSW (2022)
Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang
PPA: Preference Profiling Attack Against Federated Learning. CoRR (2022)
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)
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)
Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue
Dissecting Malware in the Wild. CoRR (2021)
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)
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) (2021)
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) (2021)
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 (2021)
Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu
Dissecting Click Fraud Autonomy in the Wild. CCS (2021)
Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. CCS (2021)
Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu
Dissecting Click Fraud Autonomy in the Wild. CoRR (2021)
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)
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) (2021)
Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu
Hidden Backdoors in Human-Centric Language Models. CoRR (2021)
Jing Xu, Minhui Xue, Stjepan Picek
Explainability-based Backdoor Attacks Against Graph Neural Networks. WiseML@WiSec (2021)
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)
Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue
Delayed Rewards Calibration via Reward Empirical Sufficiency. CoRR (2021)
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 (2021)
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)
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 (2021)
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems. CoRR (2021)
Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models. CoRR (2021)
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)
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 (2021)
Jing Xu, Minhui Xue, Stjepan Picek
Explainability-based Backdoor Attacks Against Graph Neural Networks. CoRR (2021)
Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing. CoRR (2021)
Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue
Statically Detecting Adversarial Malware through Randomised Chaining. CoRR (2021)
Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models. ACISP (2021)
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 (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Minhui Xue