Minhui Xue

227 papers A* 67A 9B 4C 1Misc 4Journal 117Unranked 24
YearRankTypeTitle / Venue / Authors
2026 J jnl
AI Model Modulation with Logits Redistribution.
CoRR
Zihan Wang, Zhongkui Ma, Xinguo Feng, Zhiyang Mei, Ethan Ma, Derui Wang, Minhui Xue, Guangdong Bai
2026 J jnl
AgentRAE: Remote Action Execution through Notification-based Visual Backdoors against Screenshots-based Mobile GUI Agents.
CoRR
Yutao Luo, Haotian Zhu, Shuchao Pang, Zhigang Lu, Tian Dong, Yongbin Zhou, Minhui Xue
2026 J jnl
Bones of Contention: Exploring Query-Efficient Attacks Against Skeleton Recognition Systems.
IEEE Trans. Inf. Forensics Secur.
Yuxin Cao, Kai Ye, Derui Wang, Minhui Xue, Hao Ge, Chenxiong Qian, Jin Song Dong
2026 A* conf
CoLOR-DP: Conjugate Low-Rank Differential Privacy for Structure-Aware LoRA Fine-Tuning.
WWW
Kai Zhang, Yuxuan Xu, Wenxiang Lin, Chaoqun Hong, Pei-Wei Tsai, Xin Yuan, Minhui Xue
2026 J jnl
Data Flipping Attack and Defense in Web Edge Caching Systems.
IEEE Trans. Inf. Forensics Secur.
Mengsha Kou, Xiaoyu Xia, Ibrahim Khalil, Ziqi Wang, Xiuzhen Zhang, Lin Yao, Minhui Xue
2026 J jnl
Fairness-Aware Differential Privacy: A Fairly Proportional Noise Mechanism.
IEEE Trans. Dependable Secur. Comput.
Kai Zhang, Xin Yuan, Pei-Wei Tsai, Chaoqun Hong, Minhui Xue
2026 J jnl
From Storage to Steering: Memory Control Flow Attacks on LLM Agents.
CoRR
Zhenlin Xu, Xiaogang Zhu, Yu Yao, Minhui Xue, Yiliao Song
2026 J jnl
KGEES: An Energy Saving System With Location Privacy Preservation in Multi-Access Edge Computing.
IEEE Trans. Dependable Secur. Comput.
Ziqi Wang, Xiaoyu Xia, Ibrahim Khalil, Minghui Liwang, Xiaolong Xu, Xun Yi, Yan Li, Minhui Xue
2026 J jnl
MoSEEC: Sustainable and Trajectory Privacy-Preserving Edge Resource Management.
IEEE Trans. Mob. Comput.
Ziqi Wang, Xiaoyu Xia, Ibrahim Khalil, Minghui Liwang, Minhui Xue
2026 A* conf
Octopus: Vehicle-to-Road Collaborative Perception for Autonomous Driving with Closed-Loop Fusion.
WWW
Ruikun Luo, Jiadong Zhao, Peize Su, Jieming Yang, Jing Yang, Yuan Gao, Minhui Xue, Xiaoyu Xia
2026 J jnl
Optimal Online Control Strategy for Differentially Private Federated Learning.
IEEE Trans. Dependable Secur. Comput.
Xin Yuan, Andrey V. Savkin, Wei Ni, Minhui Xue, Ren Ping Liu
2026 J jnl
Unfairness Attack and Unified Provable Defense on AI-Powered Internet of Energy.
IEEE Trans. Inf. Forensics Secur.
Hua Ma, Ruoxi Sun, Xin Yuan, Minhui Xue, Yansong Gao, Surya Nepal, Xingliang Yuan, Carsten Rudolph, Ling Liu
2026 A* conf
WinFLoRA: Incentivizing Client-Adaptive Aggregation in Federated LoRA under Privacy Heterogeneity.
WWW
Mengsha Kou, Xiaoyu Xia, Ziqi Wang, Ibrahim Khalil, Ruikun Luo, Jingwen Zhou, Minhui Xue
2026 J jnl
WinFLoRA: Incentivizing Client-Adaptive Aggregation in Federated LoRA under Privacy Heterogeneity.
CoRR
Mengsha Kou, Xiaoyu Xia, Ziqi Wang, Ibrahim Khalil, Runkun Luo, Jingwen Zhou, Minhui Xue
2025 A* conf
50 Shades of Deceptive Patterns: A Unified Taxonomy, Multimodal Detection, and Security Implications.
WWW
Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue, Yansong Gao, Feng Liu, Xingliang Yuan
2025 A* conf
AI Model Modulation with Logits Redistribution.
WWW
Zihan Wang, Zhongkui Ma, Xinguo Feng, Zhiyang Mei, Ethan Ma, Derui Wang, Minhui Xue, Guangdong Bai
2025 J jnl
ALMGuard: Safety Shortcuts and Where to Find Them as Guardrails for Audio-Language Models.
CoRR
Weifei Jin, Yuxin Cao, Junjie Su, Minhui Xue, Jie Hao, Ke Xu, Jin Song Dong, Derui Wang
2025 J jnl
BazzAFL: Moving Fuzzing Campaigns Towards Bugs via Grouping Bug-Oriented Seeds.
IEEE Trans. Dependable Secur. Comput.
Kai Ye, Xiaogang Zhu, Xi Xiao, Sheng Wen, Minhui Xue, Yang Xiang
2025 J jnl
Bones of Contention: Exploring Query-Efficient Attacks Against Skeleton Recognition Systems.
CoRR
Yuxin Cao, Kai Ye, Derui Wang, Minhui Xue, Hao Ge, Chenxiong Qian, Jin Song Dong
2025 A* conf
CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization.
USENIX Security Symposium
Derui Wang, Kristen Moore, Diksha Goel, Minjune Kim, Gang Li, Yang Li, Robin Doss, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2025 J jnl
CAMP in the Odyssey: Provably Robust Reinforcement Learning with Certified Radius Maximization.
CoRR
Derui Wang, Kristen Moore, Diksha Goel, Minjune Kim, Gang Li, Yang Li, Robin Doss, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2025 J jnl
Catch-Only-One: Non-Transferable Examples for Model-Specific Authorization.
CoRR
Zihan Wang, Zhiyong Ma, Zhongkui Ma, Shuofeng Liu, Akide Liu, Derui Wang, Minhui Xue, Guangdong Bai
2025 A* conf
Codebreaker: Dynamic Extraction Attacks on Code Language Models.
SP
Changzhou Han, Zehang Deng, Wanlun Ma, Xiaogang Zhu, Minhui Xue, Tianqing Zhu, Sheng Wen, Yang Xiang
2025 J jnl
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors.
CoRR
Haodong Lu, Xinyu Zhang, Kristen Moore, Minhui Xue, Lina Yao, Anton van den Hengel, Dong Gong
2025 J jnl
Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors.
Trans. Mach. Learn. Res.
Haodong Lu, Xinyu Zhang, Kristen Moore, Minhui Xue, Lina Yao, Anton van den Hengel, Dong Gong
2025 A* conf
Cross-Modal Prompt Inversion: Unifying Threats to Text and Image Generative AI Models.
USENIX Security Symposium
Dayong Ye, Tianqing Zhu, Feng He, Bo Liu, Minhui Xue, Wanlei Zhou
2025 J jnl
Decaf: Data Distribution Decompose Attack Against Federated Learning.
IEEE Trans. Inf. Forensics Secur.
Zhiyang Dai, Yansong Gao, Chunyi Zhou, Anmin Fu, Zhi Zhang, Minhui Xue, Yifeng Zheng, Yuqing Zhang
2025 J jnl
E2E-VGuard: Adversarial Prevention for Production LLM-based End-To-End Speech Synthesis.
CoRR
Zhisheng Zhang, Derui Wang, Yifan Mi, Zhiyong Wu, Jie Gao, Yuxin Cao, Kai Ye, Minhui Xue, Jie Hao
2025 A* conf
Edge Unlearning is Not "on Edge"! an Adaptive Exact Unlearning System on Resource-Constrained Devices.
SP
Xiaoyu Xia, Ziqi Wang, Ruoxi Sun, Bowen Liu, Ibrahim Khalil, Minhui Xue
2025 J jnl
From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints.
CoRR
Yansong Gao, Huaibing Peng, Hua Ma, Zhiyang Dai, Shuo Wang, Hongsheng Hu, Anmin Fu, Minhui Xue
2025 A* conf
GAP-Diff: Protecting JPEG-Compressed Images from Diffusion-based Facial Customization.
NDSS
Haotian Zhu, Shuchao Pang, Zhigang Lu, Yongbin Zhou, Minhui Xue
2025 J jnl
Iterative Window Mean Filter: Thwarting Diffusion-Based Adversarial Purification.
IEEE Trans. Dependable Secur. Comput.
Hanrui Wang, Ruoxi Sun, Cunjian Chen, Minhui Xue, Lay-Ki Soon, Shuo Wang, Zhe Jin
2025 J jnl
Keep the Lights On, Keep the Lengths in Check: Plug-In Adversarial Detection for Time-Series LLMs in Energy Forecasting.
CoRR
Hua Ma, Ruoxi Sun, Minhui Xue, Xingliang Yuan, Carsten Rudolph, Surya Nepal, Ling Liu
2025 A* conf
LAMPS '25: ACM CCS Workshop on Large AI Systems and Models with Privacy and Security Analysis.
CCS
Kwok-Yan Lam, Xiaoning Liu, Derui Wang, Bo Li, Wenyuan Xu, Jieshan Chen, Minhui Xue, Xingliang Yuan, Guangdong Bai, Shuo Wang
2025 J jnl
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-Enabled Critical Infrastructure.
IEEE Trans. Dependable Secur. Comput.
Zehang Deng, Ruoxi Sun, Minhui Xue, Sheng Wen, Seyit Camtepe, Surya Nepal, Yang Xiang
2025 J jnl
Little By Little: Continual Learning via Self-Activated Sparse Mixture-of-Rank Adaptive Learning.
CoRR
Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong
2025 A* conf
Modifier Unlocked: Jailbreaking Text-to-Image Models Through Prompts.
SP
Shuofeng Liu, Mengyao Ma, Minhui Xue, Guangdong Bai
2025 J jnl
Near-Optimal Algorithms for Instance-Level Constrained k-Center Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue
2025 J jnl
On Security Weaknesses and Vulnerabilities in Deep Learning Systems.
IEEE Trans. Dependable Secur. Comput.
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
2025 J jnl
Online Streaming Sampling Publication Method Over Sliding Windows With Differential Privacy.
IEEE Trans. Dependable Secur. Comput.
Xiujun Wang, Lei Mo, Longkun Guo, Zhigang Lu, Zhi Liu, Minhui Xue
2025 B conf
Optimizing Energy Efficiency with QoE-Awareness in Multi-Access Edge Computing.
IWQoS
Zongchao Xie, Xiaoyu Xia, Boyun Hu, Ibrahim Khalil, Ziqi Wang, Guangming Cui, Gang Xie, Minhui Xue
2025 J jnl
PriDM: Effective and Universal Private Data Recovery via Diffusion Models.
IEEE Trans. Dependable Secur. Comput.
Shuchao Pang, Yihang Rao, Zhigang Lu, Haichen Wang, Yongbin Zhou, Minhui Xue
2025 J jnl
Private Synthetic Data Generation in Bounded Memory.
Proc. ACM Manag. Data
Rayne Holland, Seyit Camtepe, Chandra Thapa, Minhui Xue
2025 A* conf
Provably Unlearnable Data Examples.
NDSS
Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2025 J jnl
QUEEN: Query Unlearning Against Model Extraction.
IEEE Trans. Inf. Forensics Secur.
Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue
2025 J jnl
Re-Key-Free, Risky-Free: Adaptable Model Usage Control.
CoRR
Zihan Wang, Zhongkui Ma, Xinguo Feng, Chuan Yan, Dongge Liu, Ruoxi Sun, Derui Wang, Minhui Xue, Guangdong Bai
2025 A conf
Reconstruction of Differentially Private Text Sanitization via Large Language Models.
RAID
Shuchao Pang, Zhigang Lu, Haichen Wang, Peng Fu, Yongbin Zhou, Minhui Xue
2025 A* conf
Reinforcement Unlearning.
NDSS
Dayong Ye, Tianqing Zhu, Congcong Zhu, Derui Wang, Kun Gao, Zewei Shi, Sheng Shen, Wanlei Zhou, Minhui Xue
2025 — conf
Safety Assessment of 3D Generation Models in AR/VR Applications.
LAMPS@CCS
Xi Tang, Wanlun Ma, Yinwei Bao, Minhui Xue, Sheng Wen, Yang Xiang
2025 A* conf
The Philosopher's Stone: Trojaning Plugins of Large Language Models.
NDSS
Tian Dong, Minhui Xue, Guoxing Chen, Rayne Holland, Yan Meng, Shaofeng Li, Zhen Liu, Haojin Zhu
2025 J jnl
Traceable and Collision-Resilient Differential Privacy.
IEEE Trans. Inf. Forensics Secur.
Kai Zhang, Xin Yuan, Ruoxi Sun, Chaoqun Hong, Minhui Xue
2025 J jnl
TrapNet: Model Inversion Defense via Trapdoor.
IEEE Trans. Inf. Forensics Secur.
Wanlun Ma, Derui Wang, Yiliao Song, Minhui Xue, Sheng Wen, Zhengdao Li, Yang Xiang
2025 J jnl
TruVRF: Toward Triple-Granularity Verification on Machine Unlearning.
IEEE Trans. Inf. Forensics Secur.
Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhi Zhang, Minhui Xue, Zhiyang Dai, Shouling Ji, Yuqing Zhang
2025 A* conf
Try to Poison My Deep Learning Data? Nowhere to Hide Your Trajectory Spectrum!
NDSS
Yansong Gao, Huaibing Peng, Hua Ma, Zhi Zhang, Shuo Wang, Rayne Holland, Anmin Fu, Minhui Xue, Derek Abbott
2025 A* conf
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift.
CCS
Jiamin Chang, Haoyang Li, Hammond Pearce, Ruoxi Sun, Bo Li, Minhui Xue
2025 J jnl
What's Pulling the Strings? Evaluating Integrity and Attribution in AI Training and Inference through Concept Shift.
CoRR
Jiamin Chang, Haoyang Li, Hammond Pearce, Ruoxi Sun, Bo Li, Minhui Xue
2025 A* conf
Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems.
USENIX Security Symposium
Weifei Jin, Yuxin Cao, Junjie Su, Derui Wang, Yedi Zhang, Minhui Xue, Jie Hao, Jin Song Dong, Yixian Yang
2024 J jnl
${\sf VeriDIP}$VeriDIP: Verifying Ownership of Deep Neural Networks Through Privacy Leakage Fingerprints.
IEEE Trans. Dependable Secur. Comput.
Aoting Hu, Zhigang Lu, Renjie Xie, Minhui Xue
2024 A* conf
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services.
NDSS
Hongsheng Hu, Shuo Wang, Jiamin Chang, Haonan Zhong, Ruoxi Sun, Shuang Hao, Haojin Zhu, Minhui Xue
2024 J jnl
AI-Compass: A Comprehensive and Effective Multi-module Testing Tool for AI Systems.
CoRR
Zhiyu Zhu, Zhibo Jin, Hongsheng Hu, Minhui Xue, Ruoxi Sun, Seyit Camtepe, Praveen Gauravaram, Huaming Chen
2024 J jnl
Adaptive Rank, Reduced Forgetting: Knowledge Retention in Continual Learning Vision-Language Models with Dynamic Rank-Selective LoRA.
CoRR
Haodong Lu, Chongyang Zhao, Minhui Xue, Lina Yao, Kristen Moore, Dong Gong
2024 A* conf
Being Transparent is Merely the Beginning: Enforcing Purpose Limitation with Polynomial Approximation.
USENIX Security Symposium
Shuofeng Liu, Zihan Wang, Minhui Xue, Long Wang, Yuanchao Zhang, Guangdong Bai
2024 A* conf
Bounded and Unbiased Composite Differential Privacy.
SP
Kai Zhang, Yanjun Zhang, Ruoxi Sun, Pei-Wei Tsai, Muneeb Ul Hassan, Xin Yuan, Minhui Xue, Jinjun Chen
2024 A* conf
CORELOCKER: Neuron-level Usage Control.
SP
Zihan Wang, Zhongkui Ma, Xinguo Feng, Ruoxi Sun, Hu Wang, Minhui Xue, Guangdong Bai
2024 A* conf
Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach.
WWW
Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue
2024 A* conf
DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts.
USENIX Security Symposium
Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Qi Alfred Chen, Minhui Xue
2024 A* conf
DeepTheft: Stealing DNN Model Architectures through Power Side Channel.
SP
Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal
2024 J jnl
Edge Unlearning is Not "on Edge"! An Adaptive Exact Unlearning System on Resource-Constrained Devices.
CoRR
Xiaoyu Xia, Ziqi Wang, Ruoxi Sun, Bowen Liu, Ibrahim Khalil, Minhui Xue
2024 A* conf
Efficient Constrained K-center Clustering with Background Knowledge.
AAAI
Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue
2024 J jnl
Efficient Constrained k-Center Clustering with Background Knowledge.
CoRR
Longkun Guo, Chaoqi Jia, Kewen Liao, Zhigang Lu, Minhui Xue
2024 A* conf
GEES: Enabling Location Privacy-Preserving Energy Saving in Multi-Access Edge Computing.
WWW
Ziqi Wang, Xiaoyu Xia, Minhui Xue, Ibrahim Khalil, Minghui Liwang, Xun Yi
2024 A* conf
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.
NDSS
Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
2024 J jnl
Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification.
CoRR
Hanrui Wang, Ruoxi Sun, Cunjian Chen, Minhui Xue, Lay-Ki Soon, Shuo Wang, Zhe Jin
2024 A* conf
LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs.
SP
Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Minhui Xue
2024 A* conf
LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis.
CCS
Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Minhui Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2024 J jnl
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure.
CoRR
Zehang Deng, Ruoxi Sun, Minhui Xue, Sheng Wen, Seyit Camtepe, Surya Nepal, Yang Xiang
2024 A* conf
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning.
SP
Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue
2024 J jnl
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning.
CoRR
Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue
2024 — conf
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model.
SP (Workshops)
Yuxin Cao, Jinghao Li, Xi Xiao, Derui Wang, Minhui Xue, Hao Ge, Wei Liu, Guangwu Hu
2024 J jnl
LocalStyleFool: Regional Video Style Transfer Attack Using Segment Anything Model.
CoRR
Yuxin Cao, Jinghao Li, Xi Xiao, Derui Wang, Minhui Xue, Hao Ge, Wei Liu, Guangwu Hu
2024 A* conf
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer.
AAAI
Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu
2024 A* conf
MFABA: A More Faithful and Accelerated Boundary-Based Attribution Method for Deep Neural Networks.
AAAI
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
2024 J jnl
NTD: Non-Transferability Enabled Deep Learning Backdoor Detection.
IEEE Trans. Inf. Forensics Secur.
Yinshan Li, Hua Ma, Zhi Zhang, Yansong Gao, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Yifeng Zheng, Said F. Al-Sarawi, Derek Abbott
2024 J jnl
On Security Weaknesses and Vulnerabilities in Deep Learning Systems.
CoRR
Zhongzheng Lai, Huaming Chen, Ruoxi Sun, Yu Zhang, Minhui Xue, Dong Yuan
2024 — conf
PPVR: A Privacy-Preserving Approach for User Behaviors in VR.
VR Workshops
Ruoxi Sun, Hanwen Wang, Minhui Xue, Hsiang-Ting Chen
2024 Misc conf
Privacy in Motion: Implementing Differential Privacy for User Motion in VR.
OZCHI
Ruoxi Sun, Hanwen Wang, Hsiang-Ting Chen, Minhui Xue
2024 A* conf
Privacy-Preserving and Fairness-Aware Federated Learning for Critical Infrastructure Protection and Resilience.
WWW
Yanjun Zhang, Ruoxi Sun, Liyue Shen, Guangdong Bai, Minhui Xue, Mark Huasong Meng, Xue Li, Ryan K. L. Ko, Surya Nepal
2024 J jnl
Provably Unlearnable Examples.
CoRR
Derui Wang, Minhui Xue, Bo Li, Seyit Camtepe, Liming Zhu
2024 J jnl
QUEEN: Query Unlearning against Model Extraction.
CoRR
Huajie Chen, Tianqing Zhu, Lefeng Zhang, Bo Liu, Derui Wang, Wanlei Zhou, Minhui Xue
2024 J jnl
Quantization Backdoors to Deep Learning Commercial Frameworks.
IEEE Trans. Dependable Secur. Comput.
Hua Ma, Huming Qiu, Yansong Gao, Zhi Zhang, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Jiliang Zhang, Said F. Al-Sarawi, Derek Abbott
2024 J jnl
Reconstruction of Differentially Private Text Sanitization via Large Language Models.
CoRR
Shuchao Pang, Zhigang Lu, Haichen Wang, Peng Fu, Yongbin Zhou, Minhui Xue, Bo Li
2024 J jnl
Rethinking the Threat and Accessibility of Adversarial Attacks against Face Recognition Systems.
CoRR
Yuxin Cao, Yumeng Zhu, Derui Wang, Sheng Wen, Minhui Xue, Jin Lu, Hao Ge
2024 A* conf
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification.
SP
Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan
2024 A* conf
ShapFuzz: Efficient Fuzzing via Shapley-Guided Byte Selection.
NDSS
Kunpeng Zhang, Xiaogang Zhu, Xi Xiao, Minhui Xue, Chao Zhang, Sheng Wen
2024 J jnl
SoK: Unifying Cybersecurity and Cybersafety of Multimodal Foundation Models with an Information Theory Approach.
CoRR
Ruoxi Sun, Jiamin Chang, Hammond Pearce, Chaowei Xiao, Bo Li, Qi Wu, Surya Nepal, Minhui Xue
2024 J jnl
The "Code" of Ethics: A Holistic Audit of AI Code Generators.
IEEE Trans. Dependable Secur. Comput.
Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang
2024 — conf
The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns.
WWW (Companion Volume)
Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue
2024 J jnl
The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns.
CoRR
Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui Xue
2024 A* conf
Watch Out! Simple Horizontal Class Backdoor Can Trivially Evade Defense.
CCS
Hua Ma, Shang Wang, Yansong Gao, Zhi Zhang, Huming Qiu, Minhui Xue, Alsharif Abuadbba, Anmin Fu, Surya Nepal, Derek Abbott
2024 A* conf
Yes, One-Bit-Flip Matters! Universal DNN Model Inference Depletion with Runtime Code Fault Injection.
USENIX Security Symposium
Shaofeng Li, Xinyu Wang, Minhui Xue, Haojin Zhu, Zhi Zhang, Yansong Gao, Wen Wu, Xuemin (Sherman) Shen
2024 A* conf
dp-promise: Differentially Private Diffusion Probabilistic Models for Image Synthesis.
USENIX Security Symposium
Haichen Wang, Shuchao Pang, Zhigang Lu, Yihang Rao, Yongbin Zhou, Minhui Xue
2023 J jnl
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services.
CoRR
Hongsheng Hu, Shuo Wang, Jiamin Chang, Haonan Zhong, Ruoxi Sun, Shuang Hao, Haojin Zhu, Minhui Xue
2023 A* conf
AgrEvader: Poisoning Membership Inference against Byzantine-robust Federated Learning.
WWW
Yanjun Zhang, Guangdong Bai, Mahawaga Arachchige Pathum Chamikara, Mengyao Ma, Liyue Shen, Jingwei Wang, Surya Nepal, Minhui Xue, Long Wang, Joseph K. Liu
2023 J jnl
Bounded and Unbiased Composite Differential Privacy.
CoRR
Kai Zhang, Yanjun Zhang, Ruoxi Sun, Pei-Wei Tsai, Muneeb Ul Hassan, Xin Yuan, Minhui Xue, Jinjun Chen
2023 — conf
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution.
WWW (Companion Volume)
Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue
2023 J jnl
Copyright Protection and Accountability of Generative AI: Attack, Watermarking and Attribution.
CoRR
Haonan Zhong, Jiamin Chang, Ziyue Yang, Tingmin Wu, Mahawaga Arachchige Pathum Chamikara, Chehara Pathmabandu, Minhui Xue
2023 A* conf
DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning.
NDSS
Shuo Wang, Mahathir Almashor, Alsharif Abuadbba, Ruoxi Sun, Minhui Xue, Calvin Wang, Raj Gaire, Surya Nepal, Seyit Camtepe
2023 J jnl
Data Hiding With Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
IEEE Trans. Comput. Soc. Syst.
Zihan Wang, Olivia Byrnes, Hu Wang, Ruoxi Sun, Congbo Ma, Huaming Chen, Qi Wu, Minhui Xue
2023 J jnl
DeepTheft: Stealing DNN Model Architectures through Power Side Channel.
CoRR
Yansong Gao, Huming Qiu, Zhi Zhang, Binghui Wang, Hua Ma, Alsharif Abuadbba, Minhui Xue, Anmin Fu, Surya Nepal
2023 A* conf
Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks.
ICML
He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan
2023 A* conf
Detecting Union Type Confusion in Component Object Model.
USENIX Security Symposium
Yuxing Zhang, Xiaogang Zhu, Daojing He, Minhui Xue, Shouling Ji, Mohammad Sayad Haghighi, Sheng Wen, Zhiniang Peng
2023 A conf
FVW: Finding Valuable Weight on Deep Neural Network for Model Pruning.
CIKM
Zhiyu Zhu, Huaming Chen, Zhibo Jin, Xinyi Wang, Jiayu Zhang, Minhui Xue, Qinghua Lu, Jun Shen, Kim-Kwang Raymond Choo
2023 A* conf
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection.
NeurIPS
Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue
2023 J jnl
Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection.
CoRR
Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue
2023 J jnl
GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks.
CoRR
Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
2023 J jnl
LogoStyleFool: Vitiating Video Recognition Systems via Logo Style Transfer.
CoRR
Yuxin Cao, Ziyu Zhao, Xi Xiao, Derui Wang, Minhui Xue, Jin Lu
2023 J jnl
MFABA: A More Faithful and Accelerated Boundary-based Attribution Method for Deep Neural Networks.
CoRR
Zhiyu Zhu, Huaming Chen, Jiayu Zhang, Xinyi Wang, Zhibo Jin, Minhui Xue, Dongxiao Zhu, Kim-Kwang Raymond Choo
2023 — conf
Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors.
ESEC/SIGSOFT FSE
Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal
2023 A* conf
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps.
WWW
Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal
2023 J jnl
Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps.
CoRR
Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal
2023 A conf
POSTER: ML-Compass: A Comprehensive Assessment Framework for Machine Learning Models.
AsiaCCS
Zhibo Jin, Zhiyu Zhu, Hongsheng Hu, Minhui Xue, Huaming Chen
2023 A* conf
PPA: Preference Profiling Attack Against Federated Learning.
NDSS
Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang
2023 A* conf
PublicCheck: Public Integrity Verification for Services of Run-time Deep Models.
SP
Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Ruoxi Sun, Minhui Xue, Surya Nepal, Seyit Camtepe, Salil S. Kanhere
2023 A* conf
RAI2: Responsible Identity Audit Governing the Artificial Intelligence.
NDSS
Tian Dong, Shaofeng Li, Guoxing Chen, Minhui Xue, Haojin Zhu, Zhen Liu
2023 — conf
RAI4IoE: Responsible AI for Enabling the Internet of Energy.
TPS-ISA
Minhui Xue, Surya Nepal, Ling Liu, Subbu Sethuvenkatraman, Xingliang Yuan, Carsten Rudolph, Ruoxi Sun, Greg Eisenhauer
2023 J jnl
RAI4IoE: Responsible AI for Enabling the Internet of Energy.
CoRR
Minhui Xue, Surya Nepal, Ling Liu, Subbu Sethuvenkatraman, Xingliang Yuan, Carsten Rudolph, Ruoxi Sun, Greg Eisenhauer
2023 J jnl
SHAPFUZZ: Efficient Fuzzing via Shapley-Guided Byte Selection.
CoRR
Kunpeng Zhang, Xiaogang Zhu, Xi Xiao, Minhui Xue, Chao Zhang, Sheng Wen
2023 J jnl
Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification.
CoRR
Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan
2023 A* conf
StyleFool: Fooling Video Classification Systems via Style Transfer.
SP
Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen
2023 A* conf
The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices.
NDSS
Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang
2023 J jnl
The "code" of Ethics: A Holistic Audit of AI Code Generators.
CoRR
Wanlun Ma, Yiliao Song, Minhui Xue, Sheng Wen, Yang Xiang
2023 — conf
Towards Better ML-Based Software Services: An Investigation of Source Code Engineering Impact.
SSE
Yanli Li, Chongbin Ye, Huaming Chen, Shiping Chen, Minhui Xue, Jun Shen
2023 — conf
Towards Minimising Perturbation Rate for Adversarial Machine Learning with Pruning.
ECML/PKDD (1)
Zhiyu Zhu, Jiayu Zhang, Zhibo Jin, Xinyi Wang, Minhui Xue, Jun Shen, Kim-Kwang Raymond Choo, Huaming Chen
2023 J jnl
Unleashing Cheapfakes through Trojan Plugins of Large Language Models.
CoRR
Tian Dong, Guoxing Chen, Shaofeng Li, Minhui Xue, Rayne Holland, Yan Meng, Zhen Liu, Haojin Zhu
2023 J jnl
VeriDIP: Verifying Ownership of Deep Neural Networks through Privacy Leakage Fingerprints.
CoRR
Aoting Hu, Zhigang Lu, Renjie Xie, Minhui Xue
2022 J jnl
Backdoors Against Natural Language Processing: A Review.
IEEE Secur. Priv.
Shaofeng Li, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Suguo Du, Haojin Zhu
2022 J jnl
Breaking Neural Reasoning Architectures With Metamorphic Relation-Based Adversarial Examples.
IEEE Trans. Neural Networks Learn. Syst.
Alvin Chan, Lei Ma, Felix Juefei-Xu, Yew-Soon Ong, Xiaofei Xie, Minhui Xue, Yang Liu
2022 — conf
Cross-language Android permission specification.
ESEC/SIGSOFT FSE
Chaoran Li, Xiao Chen, Ruoxi Sun, Minhui Xue, Sheng Wen, Muhammad Ejaz Ahmed, Seyit Camtepe, Yang Xiang
2022 — ch.
Deep Learning Backdoors.
Security and Artificial Intelligence
Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao
2022 — conf
Dissecting Malware in the Wild.
ACSW
Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue
2022 A* conf
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations.
CVPR
Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue
2022 J jnl
Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations.
CoRR
Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue
2022 A* conf
M$^4$I: Multi-modal Models Membership Inference.
NeurIPS
Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue
2022 J jnl
M^4I: Multi-modal Models Membership Inference.
CoRR
Pingyi Hu, Zihan Wang, Ruoxi Sun, Hu Wang, Minhui Xue
2022 J jnl
PPA: Preference Profiling Attack Against Federated Learning.
CoRR
Chunyi Zhou, Yansong Gao, Anmin Fu, Kai Chen, Zhiyang Dai, Zhi Zhang, Minhui Xue, Yuqing Zhang
2022 A* conf
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States.
ICSE
Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen
2022 J jnl
Path Transitions Tell More: Optimizing Fuzzing Schedules via Runtime Program States.
CoRR
Kunpeng Zhang, Xi Xiao, Xiaogang Zhu, Ruoxi Sun, Minhui Xue, Sheng Wen
2022 — conf
Statically Detecting Adversarial Malware through Randomised Chaining.
ACSW
Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue
2022 J jnl
StyleFool: Fooling Video Classification Systems via Style Transfer.
CoRR
Yuxin Cao, Xi Xiao, Ruoxi Sun, Derui Wang, Minhui Xue, Sheng Wen
2022 J jnl
The "Beatrix" Resurrections: Robust Backdoor Detection via Gram Matrices.
CoRR
Wanlun Ma, Derui Wang, Ruoxi Sun, Minhui Xue, Sheng Wen, Yang Xiang
2022 J jnl
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems.
IEEE Trans. Inf. Forensics Secur.
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
2021 A* conf
An Empirical Assessment of Global COVID-19 Contact Tracing Applications.
ICSE
Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith C. Ranasinghe
2021 — conf
An Empirical Assessment of Global COVID-19 Contact Tracing Applications.
ICSE (Companion Volume)
Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith C. Ranasinghe
2021 J jnl
Data Hiding with Deep Learning: A Survey Unifying Digital Watermarking and Steganography.
CoRR
Olivia Byrnes, Wendy La, Hu Wang, Congbo Ma, Minhui Xue, Qi Wu
2021 J jnl
Delayed Rewards Calibration via Reward Empirical Sufficiency.
CoRR
Yixuan Liu, Hu Wang, Xiaowei Wang, Xiaoyue Sun, Liuyue Jiang, Minhui Xue
2021 A* conf
Dissecting Click Fraud Autonomy in the Wild.
CCS
Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu
2021 J jnl
Dissecting Click Fraud Autonomy in the Wild.
CoRR
Tong Zhu, Yan Meng, Haotian Hu, Xiaokuan Zhang, Minhui Xue, Haojin Zhu
2021 J jnl
Dissecting Malware in the Wild.
CoRR
Hamish Spencer, Wei Wang, Ruoxi Sun, Minhui Xue
2021 J jnl
Exposing Weaknesses of Malware Detectors with Explainability-Guided Evasion Attacks.
CoRR
Wei Wang, Ruoxi Sun, Tian Dong, Shaofeng Li, Minhui Xue, Gareth Tyson, Haojin Zhu
2021 J jnl
GUI-Squatting Attack: Automated Generation of Android Phishing Apps.
IEEE Trans. Dependable Secur. Comput.
Sen Chen, Lingling Fan, Chunyang Chen, Minhui Xue, Yang Liu, Lihua Xu
2021 A* conf
Hidden Backdoors in Human-Centric Language Models.
CCS
Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu
2021 J jnl
Hidden Backdoors in Human-Centric Language Models.
CoRR
Shaofeng Li, Hui Liu, Tian Dong, Benjamin Zi Hao Zhao, Minhui Xue, Haojin Zhu, Jialiang Lu
2021 J jnl
Invisible Backdoor Attacks on Deep Neural Networks Via Steganography and Regularization.
IEEE Trans. Dependable Secur. Comput.
Shaofeng Li, Minhui Xue, Benjamin Zi Hao Zhao, Haojin Zhu, Xinpeng Zhang
2021 Misc conf
Oriole: Thwarting Privacy Against Trustworthy Deep Learning Models.
ACISP
Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
2021 J jnl
Oriole: Thwarting Privacy against Trustworthy Deep Learning Models.
CoRR
Liuqiao Chen, Hu Wang, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
2021 A* conf
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference.
CCS
Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang
2021 J jnl
Snipuzz: Black-box Fuzzing of IoT Firmware via Message Snippet Inference.
CoRR
Xiaotao Feng, Ruoxi Sun, Xiaogang Zhu, Minhui Xue, Sheng Wen, Dongxi Liu, Surya Nepal, Yang Xiang
2021 J jnl
Statically Detecting Adversarial Malware through Randomised Chaining.
CoRR
Matthew Crawford, Wei Wang, Ruoxi Sun, Minhui Xue
2021 A* conf
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing.
CCS
Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue
2021 J jnl
TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing.
CoRR
Aoting Hu, Renjie Xie, Zhigang Lu, Aiqun Hu, Minhui Xue
2021 J jnl
The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services.
Proc. Priv. Enhancing Technol.
Yuantian Miao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Benjamin Zi Hao Zhao, Dali Kaafar, Yang Xiang
2021 J jnl
TnT Attacks! Universal Naturalistic Adversarial Patches Against Deep Neural Network Systems.
CoRR
Bao Gia Doan, Minhui Xue, Shiqing Ma, Ehsan Abbasnejad, Damith C. Ranasinghe
2021 A* conf
Understanding and Detecting Mobile Ad Fraud Through the Lens of Invalid Traffic.
CCS
Suibin Sun, Le Yu, Xiaokuan Zhang, Minhui Xue, Ren Zhou, Haojin Zhu, Shuang Hao, Xiaodong Lin
2021 J jnl
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Linear Regression Models.
IEEE Trans. Inf. Forensics Secur.
Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Alina Oprea, Haifeng Qian
2020 A* conf
An Automated Assessment of Android Clipboards.
ASE
Wei Wang, Ruoxi Sun, Minhui Xue, Damith C. Ranasinghe
2020 A* conf
An empirical assessment of security risks of global Android banking apps.
ICSE
Sen Chen, Lingling Fan, Guozhu Meng, Ting Su, Minhui Xue, Yinxing Xue, Yang Liu, Lihua Xu
2020 J jnl
Deep Learning Backdoors.
CoRR
Shaofeng Li, Shiqing Ma, Minhui Xue, Benjamin Zi Hao Zhao
2020 B conf
Exploring the Eastern Frontier: A First Look at Mobile App Tracking in China.
PAM
Zhaohua Wang, Zhenyu Li, Minhui Xue, Gareth Tyson
2020 Misc conf
PALOR: Poisoning Attacks Against Logistic Regression.
ACISP
Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
2020 A conf
Quality Assessment of Online Automated Privacy Policy Generators: An Empirical Study.
EASE
Ruoxi Sun, Minhui Xue
2020 J jnl
Quality Assessment of Online Automated Privacy Policy Generators: An Empirical Study.
CoRR
Ruoxi Sun, Minhui Xue
2020 Misc conf
VenueTrace: a privacy-by-design COVID-19 digital contact tracing solution: poster abstract.
SenSys
Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Damith C. Ranasinghe
2020 J jnl
Vetting Security and Privacy of Global COVID-19 Contact Tracing Applications.
CoRR
Ruoxi Sun, Wei Wang, Minhui Xue, Gareth Tyson, Seyit Camtepe, Damith Ranasinghe
2020 J jnl
With Great Dispersion Comes Greater Resilience: Efficient Poisoning Attacks and Defenses for Online Regression Models.
CoRR
Jialin Wen, Benjamin Zi Hao Zhao, Minhui Xue, Haifeng Qian
2020 A* conf
iOS, Your OS, Everybody's OS: Vetting and Analyzing Network Services of iOS Applications.
USENIX Security Symposium
Zhushou Tang, Ke Tang, Minhui Xue, Yuan Tian, Sen Chen, Muhammad Ikram, Tielei Wang, Haojin Zhu
2019 A conf
DeepCT: Tomographic Combinatorial Testing for Deep Learning Systems.
SANER
Lei Ma, Felix Juefei-Xu, Minhui Xue, Bo Li, Li Li, Yang Liu, Jianjun Zhao
2019 A conf
DeepHunter: a coverage-guided fuzz testing framework for deep neural networks.
ISSTA
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Minhui Xue, Hongxu Chen, Yang Liu, Jianjun Zhao, Bo Li, Jianxiong Yin, Simon See
2019 J jnl
Invisible Backdoor Attacks Against Deep Neural Networks.
CoRR
Shaofeng Li, Benjamin Zi Hao Zhao, Jiahao Yu, Minhui Xue, Dali Kaafar, Haojin Zhu
2019 A* conf
Measuring and Analyzing Search Engine Poisoning of Linguistic Collisions.
IEEE Symposium on Security and Privacy
Matthew Joslin, Neng Li, Shuang Hao, Minhui Xue, Haojin Zhu
2019 B conf
No-jump-into-latency in China's internet!: toward last-mile hop count based IP geo-localization.
IWQoS
Chong Xiang, Xinyu Wang, Qingrong Chen, Minhui Xue, Zhaoyu Gao, Haojin Zhu, Cailian Chen, Qiuhua Fan
2019 J jnl
Securing android applications via edge assistant third-party library detection.
Comput. Secur.
Zhushou Tang, Minhui Xue, Guozhu Meng, Chengguo Ying, Yugeng Liu, Jianan He, Haojin Zhu, Yang Liu
2019 — conf
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights Into Global Migration Flows.
ICDM Workshops
Minhui Xue, Xin Yuan, Heather Lee, Keith W. Ross
2019 J jnl
The Audio Auditor: Participant-Level Membership Inference in Voice-Based IoT.
CoRR
Yuantian Miao, Benjamin Zi Hao Zhao, Minhui Xue, Chao Chen, Lei Pan, Jun Zhang, Dali Kaafar, Yang Xiang
2018 B conf
APPCLASSIFIER: Automated App Inference on Encrypted Traffic via Meta Data Analysis.
GLOBECOM
Chong Xiang, Qingrong Chen, Minhui Xue, Haojin Zhu
2018 J jnl
AUSERA: Large-Scale Automated Security Risk Assessment of Global Mobile Banking Apps.
CoRR
Sen Chen, Guozhu Meng, Ting Su, Lingling Fan, Yinxing Xue, Yang Liu, Lihua Xu, Minhui Xue, Bo Li, Shuang Hao
2018 — conf
Are mobile banking apps secure? what can be improved?
ESEC/SIGSOFT FSE
Sen Chen, Ting Su, Lingling Fan, Guozhu Meng, Minhui Xue, Yang Liu, Lihua Xu
2018 J jnl
Automated poisoning attacks and defenses in malware detection systems: An adversarial machine learning approach.
Comput. Secur.
Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu, Bo Li
2018 J jnl
Combinatorial Testing for Deep Learning Systems.
CoRR
Lei Ma, Fuyuan Zhang, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 J jnl
Coverage-Guided Fuzzing for Deep Neural Networks.
CoRR
Xiaofei Xie, Lei Ma, Felix Juefei-Xu, Hongxu Chen, Minhui Xue, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
2018 J jnl
DeepGauge: Comprehensive and Multi-Granularity Testing Criteria for Gauging the Robustness of Deep Learning Systems.
CoRR
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
2018 A* conf
DeepGauge: multi-granularity testing criteria for deep learning systems.
ASE
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
2018 A conf
DeepMutation: Mutation Testing of Deep Learning Systems.
ISSRE
Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 J jnl
DeepMutation: Mutation Testing of Deep Learning Systems.
CoRR
Lei Ma, Fuyuan Zhang, Jiyuan Sun, Minhui Xue, Bo Li, Felix Juefei-Xu, Chao Xie, Li Li, Yang Liu, Jianjun Zhao, Yadong Wang
2018 J jnl
Differentially Private Data Generative Models.
CoRR
Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaafar, Haojin Zhu
2018 — conf
FACTS: automated black-box testing of FinTech systems.
ESEC/SIGSOFT FSE
Qingshun Wang, Lintao Gu, Minhui Xue, Lihua Xu, Wenyu Niu, Liang Dou, Liang He, Tao Xie
2018 J jnl
Modeling Privacy Leakage Risks in Large-Scale Social Networks.
IEEE Access
Suguo Du, Xiaolong Li, Jinli Zhong, Lu Zhou, Minhui Xue, Haojin Zhu, Limin Sun
2018 J jnl
Secure Deep Learning Engineering: A Software Quality Assurance Perspective.
CoRR
Lei Ma, Felix Juefei-Xu, Minhui Xue, Qiang Hu, Sen Chen, Bo Li, Yang Liu, Jianjun Zhao, Jianxiong Yin, Simon See
2018 J jnl
Sensing the Chinese Diaspora: How Mobile Apps Can Provide Insights into Global Migration Flows.
CoRR
Minhui Xue, Alexandru Grigoras, Heather Lee, Keith W. Ross
2018 A* conf
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks.
NDSS
Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross
2017 J jnl
Characterizing user behaviors in location-based find-and-flirt services: Anonymity and demographics - A WeChat Case Study.
Peer-to-Peer Netw. Appl.
Minhui Xue, Limin Yang, Keith W. Ross, Haifeng Qian
2017 C conf
Fake reviews tell no tales? Dissecting click farming in content-generated social networks.
ICCC
Haizhong Zheng, Neng Li, Minhui Xue, Suguo Du, Haojin Zhu
2017 J jnl
Hardening Malware Detection Systems Against Cyber Maneuvers: An Adversarial Machine Learning Approach.
CoRR
Sen Chen, Minhui Xue, Lingling Fan, Shuang Hao, Lihua Xu, Haojin Zhu
2017 — conf
Revisiting Localization Attacks in Mobile App People-Nearby Services.
SpaCCS
Jialin Wang, Hanni Cheng, Minhui Xue, Xiaojun Hei
2017 J jnl
Smoke Screener or Straight Shooter: Detecting Elite Sybil Attacks in User-Review Social Networks.
CoRR
Haizhong Zheng, Minhui Xue, Hao Lu, Shuang Hao, Haojin Zhu, Xiaohui Liang, Keith W. Ross
2017 — conf
Unleash the Power for Tensor: A Hybrid Malware Detection System Using Ensemble Classifiers.
ISPA/IUCC
Jieqiong Hou, Minhui Xue, Haifeng Qian
2017 — conf
When program analysis meets mobile security: an industrial study of misusing Android internet sockets.
ESEC/SIGSOFT FSE
Wenqi Bu, Minhui Xue, Lihua Xu, Yajin Zhou, Zhushou Tang, Tao Xie
2016 — conf
On the Impact of Location Errors on Localization Attacks in Location-Based Social Network Services.
SpaCCS
Hanni Cheng, Shiling Mao, Minhui Xue, Xiaojun Hei
2016 A* conf
POSTER: Accuracy vs. Time Cost: Detecting Android Malware through Pareto Ensemble Pruning.
CCS
Lingling Fan, Minhui Xue, Sen Chen, Lihua Xu, Haojin Zhu
2016 A conf
StormDroid: A Streaminglized Machine Learning-Based System for Detecting Android Malware.
AsiaCCS
Sen Chen, Minhui Xue, Zhushou Tang, Lihua Xu, Haojin Zhu
2016 J jnl
The Right to be Forgotten in the Media: A Data-Driven Study.
Proc. Priv. Enhancing Technol.
Minhui Xue, Gabriel Magno, Evandro Cunha, Virgílio A. F. Almeida, Keith W. Ross
2016 J jnl
Thwarting location privacy protection in location-based social discovery services.
Secur. Commun. Networks
Minhui Xue, Yong Liu, Keith W. Ross, Haifeng Qian
2016 A* conf
Towards adversarial detection of mobile malware: poster.
MobiCom
Sen Chen, Minhui Xue, Lihua Xu
2016 A conf
You Can Yak but You Can't Hide: Localizing Anonymous Social Network Users.
Internet Measurement Conference
Minhui Xue, Cameron L. Ballard, Kelvin Liu, Carson L. Nemelka, Yanqiu Wu, Keith W. Ross, Haifeng Qian
2015 — conf
Attacks and Defenses in Location-Based Social Networks: A Heuristic Number Theory Approach.
SocialSec
Jiawen Peng, Yan Meng, Minhui Xue, Xiaojun Hei, Keith W. Ross
2015 — conf
Data-Driven Privacy Analytics: A WeChat Case Study in Location-Based Social Networks.
WASA
Rongrong Wang, Minhui Xue, Kelvin Liu, Haifeng Qian
2015 — conf
I know where you are: Thwarting privacy protection in location-based social discovery services.
INFOCOM Workshops
Minhui Xue, Yong Liu, Keith W. Ross, Haifeng Qian
2015 — conf
You Can Yak But You Can't Hide.
COSN
Carson L. Nemelka, Cameron L. Ballard, Kelvin Liu, Minhui Xue, Keith W. Ross