Shuo Wang

Publications

• [IEEE S&P 24] Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue and Shirui Pan. " Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification" IEEE S&P 2024 (CCF A).
• [NDSS 24] Hongsheng Hu, Shuo Wang*, Jiamin Chang, Haonan Zhong, Ruoxi Sun,Shuang Hao, Haojin Zhu, and Minhui Xue. "A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services." NDSS 2024 (CCF A).
• [NDSS 24] Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan and Xingliang Yuan. "GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks." NDSS 2024 (CCF A).
• [IEEE S&P 23] Shuo Wang, Sidharth Agarwal, Sharif Abuadbba, Kristen Moore, Ruoxi Sun, Jason Xue, Surya Nepal, Seyit Camtepe and Salil Kanhere. " PublicCheck: Public Integrity Verification for Services of Run-time Deep Models" IEEE S&P 2023 (CCF A).
• [NDSS 23] Shuo Wang, Mahathir Almashor, Sharif Abuadbba, Ruoxi Sun, Jason Xue, Calvin Wang, Raj Gaire, Surya Nepal, and Seyit Camtepe. "DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning." NDSS 2023 (CCF A).
• [ACSAC 23] Seonhye Park, Sharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal. "DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks." ACSAC 2023.
• [ESEC/FSE 23]Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal. Are You Really Aware? An Explainability Guided Testing Framework for Robustness of Malware Detectors. ESEC/FSE '23 (CCF A).
• [TIFS 22] Shuo Wang, Surya Nepal, Alsharif Abuadbba, Carsten Rudolph, and Marthie Grobler. Adversarial Defense by Latent Style Transformations, IEEE Transactions on Information Forensics & Security.
• [TPDS 22] Shuo Wang, Surya Nepal, Kristen Moore, Carsten Rudolph, Marthie Grobler, and Alsharif Abuadbba. OCTOPUS : Overcoming Performance and Privatization Bottlenecks in Distributed Learning, IEEE Transactions on Parallel and Distributed Systems.
• [TDSC 22] Bang Wu, Shuo Wang, Xiangwen Yang, Xingliang Yuan, Cong Wang, Carsten Rudolph. Defending Against Misclassification Attacks in Transfer Learning, IEEE Transactions on Dependable and Secure Computing.
• [ACSAC 22] Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil Subhash Kanhere. "Reconstruction Attack on Differential Private Trajectory Protection Mechanisms." ACSAC 2022.
• [TSC 21] Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Tianle Chen, Shangyu Chen, Zike An. Defending adversarial attacks via semantic feature manipulation, IEEE Transactions on Services Computing
• [ICML 23] He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Jason Xue, Xingliang Yuan, Shirui Pan. Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks, ICML 2023. (CCF A).
• [WWW 23] 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. In Proceedings of the ACM Web Conference 2023 WWW '23 (CCF A).
• [CIKM 21] 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, Proceedings of the 30th ACM International Conference on Information & Knowledge Management
• [IEEE FG 21] Hanrui Wang, Shuo Wang, Zhe Jin, Yandan Wang, Cunjian Chen, Massimo Tistarelli. Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition, 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition
• [IEEE TSC 20] Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen. Backdoor attacks against transfer learning with pre-trained deep learning models, IEEE Transactions on Services Computing
• [IJCNN 20] Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler. Oiad: One-for-all image anomaly detection with disentanglement learning, 2020 International Joint Conference on Neural Networks
• [WISE 20] Shuo Wang, Surya Nepal, Carsten Rodolph, and Marthie Grobler, Shangyu Chen, Tianle Chen. Privacy-Preserving Generation with Identification Sanitizer, 21st International Conference on Web Information Systems Engineering
• [ICANN 20] Shuo Wang, Carsten Rodolph, Surya Nepal, and Marthie Grobler. PART-GAN : Privacy-Preserving Time- Series Sharing, International Conference on Artificial Neural Networks
• [ICWS 19] Shuo Wang, Surya Nepal, Richard O. Sinnott, and Carsten Rudolph. ”P-STM : Privacy-protected Social Tie Mining of Individual Trajectories,” IEEE International Conference on Web Services
• [FGCS 18] Shuo Wang, Richard O. Sinnott, and Surya Nepal. ”Privacy-protected statistics publication over social media user trajectory streams,” Future Generation Computer Systems
• [ICWS 18] Shuo Wang,RichardO.Sinnott, and SuryaNepal. ”A Privacy-preservingSemanticAnnotationFramework Using Online Social Media,” International Conference on Web Services
• [IEEE BigData 17] Shuo Wang, Richard O. Sinnott, and Surya Nepal. Privacy-protected Place of Activity Mining on Big Location Data, 2017 IEEE International Conference on Big Data
• [Computers & Security 17] Shuo Wang, and Richard O. Sinnott. Protecting personal trajectories of social media users through differential privacy, Computers & Security

Patent

• [Invention]: Graph Learning for Website Classification. First Inventor

• Conferences Chair, PC, Reviewer: WWW 24, ACSAC 24, ECCV 24, ECAI 24, Asia CCS 24,23, IEEE CCGRID, IEEE ICWS, CIKM, etc.
• Journal Reviewer: TIFS, TKDE, TDSC, TNSM, TSC, Sensors, etc.

• Sami Mahmoud Abed Alkhatib (Ph.D., University of Melbourne)
• Bang Wu (Ph.D., Monash University)
• He Zhang (Ph.D., Monash University)
• Hanrui Wang (Ph.D., Monash University)
• Erik Buchholz (Ph.D., UNSW)
• Seonhye Park (Visiting Researcher, SKKU)