Xingliang Yuan

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 136

Top Venues

CoRR

IEEE Trans. Dependable Secur. Comput.

AsiaCCS

INFOCOM

Publications

He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
Trustworthy Graph Neural Networks: Aspects, Methods, and Trends. Proc. IEEE 112 (2) (2024)
Zhibo Xu, Shangqi Lai, Xiaoning Liu, Alsharif Abuadbba, Xingliang Yuan, Xun Yi
OblivGNN: Oblivious Inference on Transductive and Inductive Graph Neural Network. USENIX Security Symposium (2024)
Yi Liu, Cong Wang, Xingliang Yuan
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. CoRR (2024)
Blake Haydon, Shangqi Lai, Xingliang Yuan, Sharif Abuadbba, Carsten Rudolph
Towards Private Multi-operator Network Slicing. ACISP (3) (2024)
Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. CoRR (2024)
Dabao Wang, Bang Wu, Xingliang Yuan, Lei Wu, Yajin Zhou, Helei Cui
DeFiGuard: A Price Manipulation Detection Service in DeFi using Graph Neural Networks. CoRR (2024)
Yanjun Shen, Joseph K. Liu, Xingliang Yuan, Shifeng Sun, Hui Cui
SecuPath: A Secure and Privacy-Preserving Multiparty Path Planning Framework in UAV Applications. ACISP (3) (2024)
Lin Mei, Chungen Xu, Lei Xu, Xingliang Yuan, Joseph K. Liu
Practical Multi-Source Multi-Client Searchable Encryption With Forward Privacy: Refined Security Notion and New Constructions. IEEE Trans. Dependable Secur. Comput. 21 (1) (2024)
Yi Liu, Cong Wang, Xingliang Yuan
Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning. KDD (2024)
Viet Vo, Thusitha Dayaratne, Blake Haydon, Xingliang Yuan, Shangqi Lai, Sharif Abuadbba, Hajime Suzuki, Carsten Rudolph
Security and Privacy of 6G Federated Learning-enabled Dynamic Spectrum Sharing. CoRR (2024)
Jun Zhao, Jiangshan Yu, Xingliang Yuan, Joseph K. Liu
AegisDB: Scalable Blockchain Database with Secure Decentralised Load Balancing. ACISP (3) (2024)
Thusitha Dayaratne, Viet Vo, Shangqi Lai, Sharif Abuadbba, Blake Haydon, Hajime Suzuki, Xingliang Yuan, Carsten Rudolph
Exploiting and Securing ML Solutions in Near-RT RIC: A Perspective of an xApp. CoRR (2024)
He Zhang, Bang Wu, Xiangwen Yang, Xingliang Yuan, Chengqi Zhang, Shirui Pan
Gradient Transformation: Towards Efficient and Model-Agnostic Unlearning for Dynamic Graph Neural Networks. CoRR (2024)
He Zhang, Xingliang Yuan, Shirui Pan
Unraveling Privacy Risks of Individual Fairness in Graph Neural Networks. ICDE (2024)
Van Nguyen, Tingmin Wu, Xingliang Yuan, Marthie Grobler, Surya Nepal, Carsten Rudolph
A Pioneering Study and An Innovative Information Theory-based Approach to Enhance The Transparency in Phishing Detection. CoRR (2024)
Van Nguyen, Xingliang Yuan, Tingmin Wu, Surya Nepal, Marthie Grobler, Carsten Rudolph
Deep Learning-Based Out-of-distribution Source Code Data Identification: How Far Have We Gone? CoRR (2024)
Yi Liu, Chengjun Cai, Xiaoli Zhang, Xingliang Yuan, Cong Wang
Arondight: Red Teaming Large Vision Language Models with Auto-generated Multi-modal Jailbreak Prompts. CoRR (2024)
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)
Shuo Huang, Lizhen Qu, Xingliang Yuan, Chunyang Chen
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices. EMNLP (Findings) (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)
Kassem Bagher, Shujie Cui, Xingliang Yuan, Carsten Rudolph, Xun Yi
TimeClave: Oblivious In-enclave Time series Processing System. CoRR (2023)
Viet Vo, Xingliang Yuan, Shi-Feng Sun, Joseph K. Liu, Surya Nepal, Cong Wang
ShieldDB: An Encrypted Document Database With Padding Countermeasures. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
He Zhang, Xingliang Yuan, Quoc Viet Hung Nguyen, Shirui Pan
On the Interaction between Node Fairness and Edge Privacy in Graph Neural Networks. CoRR (2023)
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen
Training-free Lexical Backdoor Attacks on Language Models. WWW (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)
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
Securely Outsourcing Neural Network Inference to the Cloud With Lightweight Techniques. IEEE Trans. Dependable Secur. Comput. 20 (1) (2023)
Lei Xu, Leqian Zheng, Chengzhi Xu, Xingliang Yuan, Cong Wang
Leakage-Abuse Attacks Against Forward and Backward Private Searchable Symmetric Encryption. CCS (2023)
Lei Xu, Xingliang Yuan, Zhengxiang Zhou, Cong Wang, Chungen Xu
Towards Efficient Cryptographic Data Validation Service in Edge Computing. IEEE Trans. Serv. Comput. 16 (1) (2023)
Lei Xu, Leqian Zheng, Chengzhi Xu, Xingliang Yuan, Cong Wang
Leakage-Abuse Attacks Against Forward and Backward Private Searchable Symmetric Encryption. CoRR (2023)
Mengzhen Gao, Helei Cui, Yanze Xie, Yaxing Chen, Zhiwen Yu, Bin Guo, Xingliang Yuan
Practical Earphone Eavesdropping with Built-in Motion Sensors. ICPADS (2023)
Kassem Bagher, Shujie Cui, Xingliang Yuan, Carsten Rudolph, Xun Yi
TimeClave: Oblivious In-Enclave Time Series Processing System. ICICS (2023)
Bang Wu, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph, Xiangwen Yang
Defeating Misclassification Attacks Against Transfer Learning. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization. IEEE Trans. Dependable Secur. Comput. 20 (2) (2023)
Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, Chunyang Chen
Training-free Lexical Backdoor Attacks on Language Models. CoRR (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)
Ziyao Liu, Yu Jiang, Jiyuan Shen, Minyi Peng, Kwok-Yan Lam, Xingliang Yuan
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions. CoRR (2023)
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan
Projective Ranking-Based GNN Evasion Attacks. IEEE Trans. Knowl. Data Eng. 35 (8) (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)
Jun Zhao, Jiangshan Yu, Xingliang Yuan, Joseph K. Liu, Cong Zuo
Rethinking Practical Blockchain-Based Symmetric Searchable Encryption Services. TrustCom (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)
Lei Xu, Xingliang Yuan, Zhengxiang Zhou, Cong Wang, Chungen Xu
Towards Efficient Cryptographic Data Validation Service in Edge Computing. SERVICES (2022)
Bin Ding, Yanchun Jian, Xingliang Yuan
A Study on the Application of a Multisubject Collaborative Model Based on Intelligent Sensor Networks in Sports Training. J. Sensors 2022 (2022)
Yanjun Shen, Bin Yu, Shangqi Lai, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Surya Nepal
OblivSend: Secure and Ephemeral File Sharing Services with Oblivious Expiration Control. ISC (2022)
Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, Bo Li
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining. INFOCOM (2022)
Dabao Wang, Hang Feng, Siwei Wu, Yajin Zhou, Lei Wu, Xingliang Yuan
Penny Wise and Pound Foolish: Quantifying the Risk of Unlimited Approval of ERC20 Tokens on Ethereum. RAID (2022)
Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, Bo Li
The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining. CoRR (2022)
Xiaoning Liu, Bang Wu, Xingliang Yuan, Xun Yi
Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge. IEEE Trans. Inf. Forensics Secur. 17 (2022)
Shifeng Sun, Cong Zuo, Joseph K. Liu, Amin Sakzad, Ron Steinfeld, Tsz Hon Yuen, Xingliang Yuan, Dawu Gu
Non-Interactive Multi-Client Searchable Encryption: Realization and Implementation. IEEE Trans. Dependable Secur. Comput. 19 (1) (2022)
Shangqi Lai, Xingliang Yuan, Shi-Feng Sun, Joseph K. Liu, Ron Steinfeld, Amin Sakzad, Dongxi Liu
Practical Encrypted Network Traffic Pattern Matching for Secure Middleboxes. IEEE Trans. Dependable Secur. Comput. 19 (4) (2022)
He Zhang, Bang Wu, Xingliang Yuan, Shirui Pan, Hanghang Tong, Jian Pei
Trustworthy Graph Neural Networks: Aspects, Methods and Trends. CoRR (2022)
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
Deep learning-based medical diagnostic services: A secure, lightweight, and accurate realization. J. Comput. Secur. 30 (6) (2022)
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
Deep Learning-Based Medical Diagnostic Services: A Secure, Lightweight, and Accurate Realization. IACR Cryptol. ePrint Arch. 2022 (2022)
Dabao Wang, Hang Feng, Siwei Wu, Yajin Zhou, Lei Wu, Xingliang Yuan
Penny Wise and Pound Foolish: Quantifying the Risk of Unlimited Approval of ERC20 Tokens on Ethereum. CoRR (2022)
He Zhang, Xingliang Yuan, Chuan Zhou, Shirui Pan
Projective Ranking-based GNN Evasion Attacks. CoRR (2022)
Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, Cong Wang
Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization. CoRR (2022)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation. AsiaCCS (2022)
Yuanshao Zhu, Yi Liu, James J. Q. Yu, Xingliang Yuan
Semi-Supervised Federated Learning for Travel Mode Identification From GPS Trajectories. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Qingqing Gan, Joseph K. Liu, Xiaoming Wang, Xingliang Yuan, Shi-Feng Sun, Daxin Huang, Cong Zuo, Jianfeng Wang
Verifiable searchable symmetric encryption for conjunctive keyword queries in cloud storage. Frontiers Comput. Sci. 16 (6) (2022)
Yanjun Shen, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Surya Nepal
OblivShare: Towards Privacy-Preserving File Sharing with Oblivious Expiration Control. ISPEC (2021)
He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan
Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. CIKM (2021)
Lei Xu, Huayi Duan, Anxin Zhou, Xingliang Yuan, Cong Wang
Interpreting and Mitigating Leakage-abuse Attacks in Searchable Symmetric Encryption. IACR Cryptol. ePrint Arch. 2021 (2021)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. ICDM (2021)
Siwei Wu, Dabao Wang, Jianting He, Yajin Zhou, Lei Wu, Xingliang Yuan, Qinming He, Kui Ren
DeFiRanger: Detecting Price Manipulation Attacks on DeFi Applications. CoRR (2021)
Chengjun Cai, Jian Weng, Xingliang Yuan, Cong Wang
Enabling Reliable Keyword Search in Encrypted Decentralized Storage with Fairness. IEEE Trans. Dependable Secur. Comput. 18 (1) (2021)
Shangqi Lai, Xingliang Yuan, Joseph K. Liu, Xun Yi, Qi Li, Dongxi Liu, Surya Nepal
OblivSketch: Oblivious Network Measurement as a Cloud Service. NDSS (2021)
Helei Cui, Xingliang Yuan, Yifeng Zheng, Cong Wang
Towards Encrypted In-Network Storage Services with Secure Near-Duplicate Detection. IEEE Trans. Serv. Comput. 14 (4) (2021)
Bang Wu, Shirui Pan, Xingliang Yuan
Towards Extracting Graph Neural Network Models via Prediction Queries (Student Abstract). AAAI (2021)
Shifeng Sun, Ron Steinfeld, Shangqi Lai, Xingliang Yuan, Amin Sakzad, Joseph K. Liu, Surya Nepal, Dawu Gu
Practical Non-Interactive Searchable Encryption with Forward and Backward Privacy. NDSS (2021)
Lei Xu, Huayi Duan, Anxin Zhou, Xingliang Yuan, Cong Wang
Interpreting and Mitigating Leakage-Abuse Attacks in Searchable Symmetric Encryption. IEEE Trans. Inf. Forensics Secur. 16 (2021)
Yanli Ren, Xiangyu Li, Shifeng Sun, Xingliang Yuan, Xinpeng Zhang
Privacy-preserving batch verification signature scheme based on blockchain for Vehicular Ad-Hoc Networks. J. Inf. Secur. Appl. 58 (2021)
Viet Vo, Shangqi Lai, Xingliang Yuan, Surya Nepal, Joseph K. Liu
Towards Efficient and Strong Backward Private Searchable Encryption with Secure Enclaves. ACNS (1) (2021)
Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, Xun Yi
[inline-graphic not available: see fulltext] : Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service. ESORICS (1) (2021)
Cong Zuo, Shangqi Lai, Xingliang Yuan, Joseph K. Liu, Jun Shao, Huaxiong Wang
Searchable Encryption for Conjunctive Queries with Extended Forward and Backward Privacy. IACR Cryptol. ePrint Arch. 2021 (2021)
Lei Xu, Shifeng Sun, Xingliang Yuan, Joseph K. Liu, Cong Zuo, Chungen Xu
Enabling Authorized Encrypted Search for Multi-Authority Medical Databases. IEEE Trans. Emerg. Top. Comput. 9 (1) (2021)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications. CoRR (2021)
Dabao Wang, Siwei Wu, Ziling Lin, Lei Wu, Xingliang Yuan, Yajin Zhou, Haoyu Wang, Kui Ren
Towards A First Step to Understand Flash Loan and Its Applications in DeFi Ecosystem. SBC@AsiaCCS (2021)
Viet Vo, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Surya Nepal, Cong Wang
ShieldDB: An Encrypted Document Database with Padding Countermeasures. CoRR (2020)
Viet Vo, Shangqi Lai, Xingliang Yuan, Shifeng Sun, Surya Nepal, Joseph K. Liu
Accelerating Forward and Backward Private Searchable Encryption Using Trusted Execution. CoRR (2020)
Yu Guo, Mingyue Wang, Cong Wang, Xingliang Yuan, Xiaohua Jia
Privacy-Preserving Packet Header Checking Over in-the-Cloud Middleboxes. IEEE Internet Things J. 7 (6) (2020)
Bang Wu, Xiangwen Yang, Shirui Pan, Xingliang Yuan
Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realization. CoRR (2020)
Shangqi Lai, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Ron Steinfeld, Amin Sakzad, Dongxi Liu
Towards Practical Encrypted Network Traffic Pattern Matching for Secure Middleboxes. CoRR (2020)
Jinghua Jiang, Yifeng Zheng, Zhenkui Shi, Xingliang Yuan, Xiaolin Gui, Cong Wang
A Practical System for Privacy-Aware Targeted Mobile Advertising Services. IEEE Trans. Serv. Comput. 13 (3) (2020)
Shangqi Lai, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Ron Steinfeld, Amin Sakzad, Dongxi Liu
Towards Practical Encrypted Network Traffic Pattern Matching for Secure Middleboxes. IACR Cryptol. ePrint Arch. 2020 (2020)
Yifeng Zheng, Huayi Duan, Xingliang Yuan, Cong Wang
Privacy-Aware and Efficient Mobile Crowdsensing with Truth Discovery. IEEE Trans. Dependable Secur. Comput. 17 (1) (2020)
Xingliang Yuan, Chengjun Cai, Cong Wang, Qian Wang
A scalable ledger-assisted architecture for secure query processing over distributed IoT data. CCF Trans. Netw. 3 (2) (2020)
Xu Yuan, Xingliang Yuan, Yihe Zhang, Baochun Li, Cong Wang
Enabling Encrypted Boolean Queries in Geographically Distributed Databases. IEEE Trans. Parallel Distributed Syst. 31 (3) (2020)
Yi Liu, Xingliang Yuan, Zehui Xiong, Jiawen Kang, Xiaofei Wang, Dusit Niyato
Federated Learning for 6G Communications: Challenges, Methods, and Future Directions. CoRR (2020)
Dabao Wang, Siwei Wu, Ziling Lin, Lei Wu, Xingliang Yuan, Yajin Zhou, Haoyu Wang, Kui Ren
Towards understanding flash loan and its applications in defi ecosystem. CoRR (2020)
Xiaoning Liu, Bang Wu, Xingliang Yuan, Xun Yi
Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge. IACR Cryptol. ePrint Arch. 2020 (2020)
Yi Liu, Xingliang Yuan, Ruihui Zhao, Yifeng Zheng, Yefeng Zheng
RC-SSFL: Towards Robust and Communication-efficient Semi-supervised Federated Learning System. CoRR (2020)
Viet Vo, Shangqi Lai, Xingliang Yuan, Shifeng Sun, Surya Nepal, Joseph K. Liu
Accelerating Forward and Backward Private Searchable Encryption Using Trusted Execution. ACNS (2) (2020)
Shangqi Lai, Xingliang Yuan, Amin Sakzad, Mahsa Salehi, Joseph K. Liu, Dongxi Liu
Enabling Efficient Privacy-Assured Outlier Detection Over Encrypted Incremental Data Sets. IEEE Internet Things J. 7 (4) (2020)
Songrui Wu, Qi Li, Guoliang Li, Dong Yuan, Xingliang Yuan, Cong Wang
ServeDB: Secure, Verifiable, and Efficient Range Queries on Outsourced Database. ICDE (2019)
Huayi Duan, Cong Wang, Xingliang Yuan, Yajin Zhou, Qian Wang, Kui Ren
LightBox: Full-stack Protected Stateful Middlebox at Lightning Speed. CCS (2019)
Yu Guo, Xingliang Yuan, Xinyu Wang, Cong Wang, Baochun Li, Xiaohua Jia
Enabling Encrypted Rich Queries in Distributed Key-Value Stores. IEEE Trans. Parallel Distributed Syst. 30 (6) (2019)
Bang Wu, Xiangwen Yang, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph
Defending Against Misclassification Attacks in Transfer Learning. CoRR (2019)
Shangqi Lai, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Yuhong Liu, Dongxi Liu
GraphSE²: An Encrypted Graph Database for Privacy-Preserving Social Search. AsiaCCS (2019)
Lei Xu, Xingliang Yuan, Cong Wang, Qian Wang, Chungen Xu
Hardening Database Padding for Searchable Encryption. INFOCOM (2019)
Lei Xu, Xingliang Yuan, Ron Steinfeld, Cong Wang, Chungen Xu
Multi-Writer Searchable Encryption: An LWE-based Realization and Implementation. AsiaCCS (2019)
Shangqi Lai, Xingliang Yuan, Shifeng Sun, Joseph K. Liu, Yuhong Liu, Dongxi Liu
: An Encrypted Graph Database for Privacy-Preserving Social Search. CoRR (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Xingliang Yuan