Biography

I am a Senior Lecturer in the Department of Software Systems and Cybersecurity of the Faculty of Information Technology, and also the Course Director for Master of Cybersecurity at Monash University. I joined Monash since 2017 after I received my PhD degree in Computer Science from City University of Hong Kong. I obtained my BS degree and MS degree both in Electrical Engineering from Nanjing University of Posts and Telecommunications and Illinois Institute of Technology, respectively. Prior to that, I received my secondary education from High School Affiliated To Nanjing Normal University. From 2011 to 2013, I worked at Stromasys S.A., developing and optimising the dynamic instruction translation engine for virtual SPARC and ALPHA servers on the x86 platform.

Research Interests

I have broad interests in cybersecurity, including data security and privacy, secure networked system, trustworthy machine learning, and confidential computing. My recent research focus can be found here.

Prospective Students

I am always looking for self-motivated students. Please email me your CV, transcript, research statement, english test score. Information on Monash PhD admission and scholarships can be found here, here, and here.

Recent Publications (Selected)

My full publication list can be found at DBLP and Google Scholar.

• [ACM WWW'23] Yujin Huang, Terry Yue Zhuo, Qiongkai Xu, Han Hu, Xingliang Yuan, and Chunyang Chen, “Training-free Lexical Backdoor Attacks on Language Models", in the ACM Web Conference, 2023 (Acceptance ratio: 19.9%).
  
  
• [IEEE TKDE] He Zhang, Xingliang Yuan, Chuan Zhou, and Shirui Pan, “Projective Ranking-based GNN Evasion Attacks", IEEE Transactions on Knowledge and Data Engineering, Accepted, 2022.
  
  
• [ACM RAID'22] Dabao Wang, Hang Feng, Siwei Wu, Yajin Zhou, Lei Wu, and Xingliang Yuan, “Penny Wise and Pound Foolish: Quantifying the Risk of Unlimited Approval of ERC20 Tokens on Ethereum", in the 25th International Symposium on Research in Attacks, Intrusions and Defenses, 2022 (Acceptance ratio: 25%).
  
  
• [IOS JCS] Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, and Xun Yi, “Deep Learning-Based Medical Diagnostic Services: A Secure, Lightweight, and Accurate Realization", Journal of Computer Security (JCS), Accepted, 2022.
  
  
• [IEEE TDSC] Yifeng Zheng, Shangqi Lai, Yi Liu, Xingliang Yuan, Xun Yi, and Cong Wang, “Aggregation Service for Federated Learning: An Efficient, Secure, and More Resilient Realization", IEEE Transactions on Dependable and Secure Computing, Accepted, 2022.
  
  
• [IEEE TDSC] Bang Wu, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph, and Xiangwen Yang, “Defeating Misclassification Attacks Against Transfer Learning", IEEE Transactions on Dependable and Secure Computing, Accepted, 2022.
  
  
• [IEEE TDSC] Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, and Xun Yi, “Securely Outsourcing Neural Network Inference to the Cloud with Lightweight Techniques", IEEE Transactions on Dependable and Secure Computing, Accepted, 2022.
  
  
• [IEEE TIFS] Xiaoning Liu, Bang Wu, Xingliang Yuan, and Xun Yi, “Leia: A Lightweight Cryptographic Neural Network Inference System at the Edge", IEEE Transactions on Information Forensics and Security, Accepted, 2021.
  
  
• [IEEE INFOCOM'22] Yi Liu, Lei Xu, Xingliang Yuan, Cong Wang, and Bo Li, “The Right to be Forgotten in Federated Learning: An Efficient Realization with Rapid Retraining", in the 41st International Conference on Computer Communications, 2022 (Acceptance ratio: 19.9%).
  
  
• [IEEE TIFS] Lei Xu, Huayi Duan, Anxin Zhou, Xingliang Yuan, and Cong Wang, “Interpreting and Mitigating Leakage-abuse Attacks in Searchable Symmetric Encryption", IEEE Transactions on Information Forensics and Security, Accepted, 2021.
  
  
• [IEEE TKDE] Viet Vo, Xingliang Yuan, Shi-Feng Sun, Joseph Liu, Surya Nepal, and Cong Wang, “ShieldDB: An Encrypted Document Database with Padding Countermeasures", IEEE Transactions on Knowledge and Data Engineering, Accepted, 2021.
  
  
• [ACM AsiaCCS'22] Bang Wu, Xiangwen Yang, Shirui Pan, and Xingliang Yuan, “Model Extraction Attacks on Graph Neural Networks: Taxonomy and Realisation”, In the 17th ACM ASIA Conference on Computer and Communications Security , 2022 (First round acceptance ratio: 15%).
  
  
• [IEEE ICDM'21] Bang Wu, Xiangwen Yang, Shirui Pan, and Xingliang Yuan, “Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications”, In the IEEE International Conference on Data Mining, virtually, 2021.
  
  
• [ACM CIKM'21] He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, and Shirui Pan, “Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks”, In the 30th ACM International Conference on Information and Knowledge Management, virtually, 2021.
  
  
• [ESORICS'21] Xiaoning Liu, Yifeng Zheng, Xingliang Yuan, and Xun Yi, “MediSC: Towards Secure and Lightweight Deep Learning as a Medical Diagnostic Service”, In the 26th European Symposium on Research in Computer Security, virtually, 2021 (Best Paper Award, Acceptance ratio: 21%).
  
  
• [AsiaCCS-SBC'21] Dabao Wang, Siwei Wu, Ziling Lin, Lei Wu, Xingliang Yuan, Yajin Zhou, Haoyu Wang, and Kui Ren, “Towards A First Step to Understand Flash Loan and Its Applications in DeFi Ecosystem”, In the 9th International Workshop on Security in Blockchain and Cloud Computing, virtually, 2021.
  
  
• [IEEE TDSC] Shangqi Lai, Xingliang Yuan, Shi-Feng Sun, Joseph Liu, Ron Steinfeld, Amin Sakzad, and Dongxi Liu, “Practical Encrypted Network Traffic Pattern Matching for Secure Middleboxes”, IEEE Transactions on Dependable and Secure Computing, In Press, 2021.
  
  
• [ISOC NDSS'21] Shi-Feng Sun, Ron Steinfeld, Shangqi Lai, Xingliang Yuan, Amin Sakzad, Joseph Liu, Surya Nepal, and Dawu Gu, “Practical Non-Interactive Searchable Encryption with Forward and Backward Privacy”, In the Network and Distributed System Security Symposium, virtually, 2021 (Acceptance ratio: 15%).
  
  
• [ISOC NDSS'21] Shangqi Lai, Xingliang Yuan, Joseph Liu, Xun Yi, Qi Li, Dongxi Liu, and Surya Nepal, “OblivSketch: Oblivious Network Measurement as a Cloud Service”, In the Network and Distributed System Security Symposium, virtually, 2021 (Acceptance ratio: 15%).
  
  
• [ACNS'21] Viet Vo, Shangqi Lai, Xingliang Yuan, Joseph Liu, and Surya Nepal, "Towards Efficient and Strong Backward Private Searchable Encryption with Secure Enclaves", in the 19th International Conference on Applied Cryptography and Network Security, Kamakura, Japan, 2021 (First round acceptance ratio: 13/77= 16.8%).
  
  
• [ACNS'20] Viet Vo, Shangqi Lai, Xingliang Yuan, Shi-Feng Sun, Surya Nepal, and Joseph K. Liu, "Accelerating Forward and Backward Private Searchable Encryption Using Trusted Execution", in the 18th International Conference on Applied Cryptography and Network Security, virtually, 2020 (Acceptance ratio: 21%).
  
  
• [ACM CCS'19] Huayi Duan, Cong Wang, Xingliang Yuan, Yajin Zhou, Qian Wang, and Kui Ren, “LightBox: Full-stack Protected Stateful Middlebox at Lightning Speed”, in the 26th ACM Conference on Computer and Communications Security, , London, UK, 2019 (Acceptance ratio: 149/933 = 16%).
  
  
• [ACM AsiaCCS'19] Shangqi Lai, Xingliang Yuan, Shi-Feng Sun, Joseph K. Liu, Yuhong Liu, and Dongxi Liu, “GraphSE^2: An Encrypted Graph Database for Privacy-Preserving Social Search”, in the 14th ACM ASIA Conference on Computer and Communications Security , Auckland, New Zealand, 2019 (Acceptance ratio: 44/258 = 17%).
  
  
• [IEEE INFOCOM'19] Lei Xu, Xingliang Yuan, Cong Wang, Qian Wang, and Chungen Xu, “Hardening Database Padding for Searchable Encryption”, in the 38th International Conference on Computer Communications, Paris, France, 2019. (Acceptance ratio: 288/1464 = 19.7%).
  
  
• [ACM CCS'18] Shi-Feng Sun, Xingliang Yuan, Joseph K. Liu, Ron Steinfeld, Amin Sakzad, Viet Vo, and Surya Nepal, “Practical Backward-Secure Searchable Encryption from Symmetric Puncturable Encryption”, in the 25th ACM Conference on Computer and Communications Security , Toronto, Canada, 2018. (Acceptance ratio: 134/809 = 16.6%).