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ORCIDMinhui Xue 0001
Jason Xue 0002 – Minhui (Jason) Xue
Person information
- affiliation: CSIRO Marsfield, NSW, Australia
- affiliation: University of Adelaide, SA, Australia
- affiliation (former): Macquarie University, Australia
Other persons with the same name
- Chun Jason Xue
![[0000-0002-6431-9868]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-6431-9868")
(aka: Jason Xue 0001, Chun Xue 0001) — Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), Abu Dhabi, United Arab Emirates (and 2 more) - Jason Xue 0003 — Intuit Inc.
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2020 – today
- 2025
[j19]Zhiyang Dai, Yansong Gao, Chunyi Zhou, Anmin Fu, Zhi Zhang, Minhui Xue, Yifeng Zheng, Yuqing Zhang:
Decaf: Data Distribution Decompose Attack Against Federated Learning. IEEE Trans. Inf. Forensics Secur. 20: 405-420 (2025)- 2024
- [j18]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): 1155-1172 (2024) - [j17]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): 2568-2584 (2024) - [j16]Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang:
The "Code" of Ethics: A Holistic Audit of AI Code Generators. IEEE Trans. Dependable Secur. Comput. 21(5): 4997-5013 (2024) - [j15]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: 104-119 (2024) - [c95]Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu:
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer. AAAI 2024: 945-953 - [c94]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: 17228-17236 - [c93]Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue:
Efficient Constrained K-center Clustering with Background Knowledge. AAAI 2024: 20709-20717 - [c92]Hua Ma, Shang Wang, Yansong Gao, Zhi Zhang, Huming Qiu, Minhui Xue, Alsharif Abuadbba, Anmin Fu, Surya Nepal, Derek Abbott:
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense. CCS 2024: 4465-4479 - [c91]Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Minhui Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan:
LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis. CCS 2024: 4888-4889 - [c90]Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore:
Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR 2024 - [c89]Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Jason Xue, Flora D. Salim:
AttEXplore: Attribution for Explanation with model parameters eXploration. ICLR 2024 - [c88]Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li:
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. ICML 2024 - [c87]Zhiyu Zhu, Huaming Chen, Xinyi Wang, Jiayu Zhang, Zhibo Jin, Jason Xue, Jun Shen:
Iterative Search Attribution for Deep Neural Networks. ICML 2024 - [c86]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. NDSS 2024 - [c85]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. NDSS 2024 - [c84]Kunpeng Zhang, Xiaogang Zhu, Xi Xiao, Minhui Xue, Chao Zhang, Sheng Wen:
ShapFuzz: Efficient Fuzzing via Shapley-Guided Byte Selection. NDSS 2024 - [c83]Quan Hong Nguyen, Tingmin Wu, Van Nguyen, Xingliang Yuan, Jason Xue, Carsten Rudolph:
Utilizing Large Language Models with Human Feedback Integration for Generating Dedicated Warning for Phishing Emails. SecTL@AsiaCCS 2024: 35-46 - [c82]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: 48-56 - [c81]Kai Zhang, Yanjun Zhang, Ruoxi Sun, Pei-Wei Tsai, Muneeb Ul Hassan, Xin Yuan, Minhui Xue, Jinjun Chen:
Bounded and Unbiased Composite Differential Privacy. SP 2024: 972-990 - [c80]Zihan Wang, Zhongkui Ma, Xinguo Feng, Ruoxi Sun, Hu Wang, Minhui Xue, Guangdong Bai:
CORELOCKER: Neuron-level Usage Control. SP 2024: 2497-2514 - [c79]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. SP 2024: 2534-2552 - [c78]Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Minhui Xue:
LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs. SP 2024: 2977-2995 - [c77]Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue:
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. SP 2024: 3257-3275 - [c76]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. SP 2024: 3311-3326 - [c75]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 - [c74]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 - [c73]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 - [c72]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 - [c71]Ruoxi Sun, Hanwen Wang, Minhui Xue, Hsiang-Ting Chen:
PPVR: A Privacy-Preserving Approach for User Behaviors in VR. VR Workshops 2024: 1055-1056 - [c70]Yinhao Jiang, Michael Bewong, Arash Mahboubi, Sajal Halder, Md. Rafiqul Islam, Md Zahidul Islam, Ryan H. L. Ip, Praveen Gauravaram, Jason Xue:
A Graph-Based Approach for Software Functionality Classification on the Web. WISE (5) 2024: 58-73 - [c69]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: 521-524 - [c68]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: 2735-2746 - [c67]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: 2986-2997 - [c66]Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue:
Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. WWW 2024: 3076-3084 - [i70]Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue:
Efficient Constrained k-Center Clustering with Background Knowledge. CoRR abs/2401.12533 (2024) - [i69]Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore:
Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR abs/2402.02653 (2024) - [i68]Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue:
The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns. CoRR abs/2402.03569 (2024) - [i67]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 abs/2403.11656 (2024) - [i66]Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue:
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. CoRR abs/2404.03233 (2024) - [i65]Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu:
Provably Unlearnable Examples. CoRR abs/2405.03316 (2024) - [i64]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 abs/2405.15258 (2024) - [i63]Youwei Shu, Xi Xiao, Derui Wang, Yuxin Cao, Siji Chen, Jason Xue, Linyi Li, Bo Li:
Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing. CoRR abs/2406.02309 (2024) - [i62]Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan:
On Security Weaknesses and Vulnerabilities in Deep Learning Systems. CoRR abs/2406.08688 (2024) - [i61]Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue:
QUEEN: Query Unlearning against Model Extraction. CoRR abs/2407.01251 (2024) - [i60]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 abs/2407.08514 (2024) - [i59]Hanrui Wang, Ruoxi Sun, Cunjian Chen, Minhui Xue, Lay-Ki Soon, Shuo Wang, Zhe Jin:
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification. CoRR abs/2408.10673 (2024) - [i58]Xiaoyu Xia, Ziqi Wang, Ruoxi Sun, Bowen Liu, Ibrahim Khalil, Minhui Xue:
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices. CoRR abs/2410.10128 (2024) - [i57]Shuchao Pang, Zhigang Lu, Haichen Wang, Peng Fu, Yongbin Zhou, Minhui Xue, Bo Li:
Reconstruction of Differentially Private Text Sanitization via Large Language Models. CoRR abs/2410.12443 (2024) - [i56]Zhiyu Zhu, Zhibo Jin, Hongsheng Hu, Minhui Xue, Ruoxi Sun, Seyit Camtepe, Praveen Gauravaram, Huaming Chen:
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems. CoRR abs/2411.06146 (2024) - [i55]Ruoxi Sun, Jiamin Chang, Hammond Pearce, Chaowei Xiao, Bo Li, Qi Wu, Surya Nepal, Minhui Xue:
SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach. CoRR abs/2411.11195 (2024) - [i54]Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong:
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA. CoRR abs/2412.01004 (2024) - [i53]Rayne Holland, Seyit Camtepe, Chandra Thapa, Minhui (Jason) Xue:
Private Synthetic Data Generation in Small Memory. CoRR abs/2412.09756 (2024) - 2023
- [j14]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): 2985-2999 (2023) - [c65]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 - [c64]Mahathir Almashor, M. Ejaz Ahmed, Benjamin Pick, Jason Xue, Sharif Abuadbba, Raj Gaire, Shuo Wang, Seyit Camtepe, Surya Nepal:
Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. AINTEC 2023: 78-86 - [c63]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 - [c62]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: 3657-3666 - [c61]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 - [c60]Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu, Zhen Liu:
RAI2: Responsible Identity Audit Governing the Artificial Intelligence. NDSS 2023 - [c59]Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang:
The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices. NDSS 2023 - [c58]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 - [c57]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 - [c56]Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue:
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection. NeurIPS 2023 - [c55]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 - [c54]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: 1573-1585 - [c53]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 - [c52]Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen:
StyleFool: Fooling Video Classification Systems via Style Transfer. SP 2023: 1631-1648 - [c51]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: 13-22 - [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: 4265-4281 - [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 - [e1]Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan:
Proceedings of the 1st ACM Workshop on Large AI Systems and Models with Privacy and Safety Analysis, LAMPS 2024, Salt Lake City, UT, USA, October 14-18, 2024. ACM 2023, ISBN 979-8-4007-1209-8 [contents] - [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] - [i52]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) - [i51]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) - [i50]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) - [i49]Kunpeng Zhang, Xiaogang Zhu, Xi Xiao, Minhui Xue, Chao Zhang, Sheng Wen:
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection. CoRR abs/2308.09239 (2023) - [i48]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) - [i47]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) - [i46]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) - [i45]Aoting Hu, Zhigang Lu, Renjie Xie, Minhui Xue:
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints. CoRR abs/2310.10656 (2023) - [i44]Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue:
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection. CoRR abs/2310.16569 (2023) - [i43]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 abs/2311.02324 (2023) - [i42]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 abs/2312.00374 (2023) - [i41]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 abs/2312.07861 (2023) - [i40]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 abs/2312.07870 (2023) - [i39]Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu:
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer. CoRR abs/2312.09935 (2023) - [i38]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 abs/2312.13630 (2023) - [i37]Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Jason Xue, Sheng Shen, Wanlei Zhou:
Reinforcement Unlearning. CoRR abs/2312.15910 (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 - [i36]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) - [i35]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) - [i34]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) - [i33]Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue,