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ORCIDShuo Wang 0012
Person information
- affiliation: Monash University, Melbourne, CSIRO, Data61, Cybersecurity CRC, Australia
- affiliation (PhD 2018): University of Melbourne, Computing and Information Systems, Australia
Other persons with the same name
- Shuo Wang — disambiguation page
- Shuo Wang 0001
![[0000-0002-1390-9219]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-1390-9219")
— Chinese Academy of Sciences, Institute of Automation, State Key Laboratory of Management and Control for Complex Systems, Beijing, China - Shuo Wang 0002 — Hong Kong Polytechnic University, Department of Land Surveying and Geo-Informatics, Hong Kong (and 3 more)
- Shuo Wang 0003 — University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA (and 3 more)
- Shuo Wang 0004 — Beijing University of Posts and Telecommunications, Department of Information and Communications Engineering, China
- Shuo Wang 0005 — University of Birmingham, School of Computer Science, UK
- Shuo Wang 0006 — Beijing University of Posts and Telecommunications, State Key Laboratory of Networking and Switching Technology, China
- Shuo Wang 0007 — University of Bonn, Germany
- Shuo Wang 0008 — University of Science and Technology of China, School of Information Science and Technology, Hefei, China (and 1 more)
- Shuo Wang 0009 — Peking University, School of EECS, Beijing, China (and 1 more)
- Shuo Wang 0010 — Beijing, Normal University, Beijing, China
- Shuo Wang 0011 — Fudan University, Digital Medical Research Center, School of Basic Medical Sciences, Shanghai Key Laboratory of MICCAI, China (and 1 more)
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2020 – today
- 2024
[j14]Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere:
SoK: Can Trajectory Generation Combine Privacy and Utility? Proc. Priv. Enhancing Technol. 2024(3): 75-93 (2024)- [j13]Huaibing Peng, Huming Qiu, Hua Ma, Shuo Wang, Anmin Fu, Said F. Al-Sarawi, Derek Abbott, Yansong Gao:
On Model Outsourcing Adaptive Attacks to Deep Learning Backdoor Defenses. IEEE Trans. Inf. Forensics Secur. 19: 2356-2369 (2024) - [j12]Hanrui Wang, Shuo Wang, Cunjian Chen, Massimo Tistarelli, Zhe Jin:
A Multi-Task Adversarial Attack against Face Authentication. ACM Trans. Multim. Comput. Commun. Appl. 20(11): 332:1-332:24 (2024) - [c35]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 - [c34]Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore:
Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR 2024 - [c33]Hongying Zhang, Gaolei Li, Shenghong Li, Hongfu Liu, Shuo Wang, Jianhua Li:
How to Efficiently Manage Critical Infrastructure Vulnerabilities? Toward Large Code-graph Models. LAMPS@CCS 2024: 25-34 - [c32]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 - [c31]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 - [c30]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 - [c29]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 - [c28]Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue:
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. SP 2024: 3257-3275 - [c27]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 - [c26]Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue:
Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. WWW 2024: 3076-3084 - [i24]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) - [i23]Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere:
SoK: Can Trajectory Generation Combine Privacy and Utility? CoRR abs/2403.07218 (2024) - [i22]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) - [i21]Alsharif Abuadbba, Nicholas Rhodes, Kristen Moore, Bushra Sabir, Shuo Wang, Yansong Gao:
DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking. CoRR abs/2407.01260 (2024) - [i20]Hanrui Wang, Shuo Wang, Cunjian Chen, Massimo Tistarelli, Zhe Jin:
A Multi-task Adversarial Attack Against Face Authentication. CoRR abs/2408.08205 (2024) - [i19]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) - 2023
- [j11]Hui Li, Yan Yan, Shuo Wang, Juan Liu, Yunpeng Cui:
Text classification on heterogeneous information network via enhanced GCN and knowledge. Neural Comput. Appl. 35(20): 14911-14927 (2023) - [j10]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): 886-901 (2023) - [c25]Seonhye Park, Alsharif 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: 535-549 - [c24]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 - [c23]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 - [c22]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 - [c21]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 - [c20]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 - [c19]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 - [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] - [i18]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) - [i17]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) - [i16]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) - [i15]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) - 2022
- [j9]Shuo Wang, Surya Nepal, Alsharif Abuadbba, Carsten Rudolph, Marthie Grobler:
Adversarial Detection by Latent Style Transformations. IEEE Trans. Inf. Forensics Secur. 17: 1099-1114 (2022) - [j8]Shuo Wang, Surya Nepal, Kristen Moore, Marthie Grobler, Carsten Rudolph, Alsharif Abuadbba:
OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning. IEEE Trans. Parallel Distributed Syst. 33(12): 3460-3477 (2022) - [j7]Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen:
Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models. IEEE Trans. Serv. Comput. 15(3): 1526-1539 (2022) - [j6]Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An:
Defending Adversarial Attacks via Semantic Feature Manipulation. IEEE Trans. Serv. Comput. 15(6): 3184-3197 (2022) - [c18]Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil Subhash Kanhere:
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms. ACSAC 2022: 279-292 - [c17]Adrian Kristanto, Shuo Wang, Carsten Rudolph:
Latent Space-Based Backdoor Attacks Against Deep Neural Networks. IJCNN 2022: 1-10 - [c16]Shuo Wang, Jinyuan Qin, Carsten Rudolph, Surya Nepal, Marthie Grobler:
R-Net: Robustness Enhanced Financial Time-Series Prediction with Differential Privacy. IJCNN 2022: 1-9 - [i14]Hanrui Wang, Shuo Wang, Zhe Jin, Yandan Wang, Cunjian Chen, Massimo Tistarelli:
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition. CoRR abs/2201.04011 (2022) - [i13]Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Surya Nepal, Salil S. Kanhere:
Integrity Fingerprinting of DNN with Double Black-box Design and Verification. CoRR abs/2203.10902 (2022) - [i12]Alsharif Abuadbba, Shuo Wang, Mahathir Almashor, Muhammad Ejaz Ahmed, Raj Gaire, Seyit Camtepe, Surya Nepal:
Towards Web Phishing Detection Limitations and Mitigation. CoRR abs/2204.00985 (2022) - [i11]Mahathir Almashor, M. Ejaz Ahmed, Benjamin Pick, Sharif Abuadbba, Jason Xue, Raj Gaire, Shuo Wang, Seyit Camtepe, Surya Nepal:
Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. CoRR abs/2208.12449 (2022) - [i10]Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere:
Reconstruction Attack on Differential Private Trajectory Protection Mechanisms. CoRR abs/2210.09375 (2022) - [i9]Seonhye Park, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal:
Tracking Dataset IP Use in Deep Neural Networks. CoRR abs/2211.13535 (2022) - 2021
- [j5]Sami Alkhatib, Ryan Kelly, Jenny Waycott, George Buchanan, Marthie Grobler, Shuo Wang:
"Who Wants to Know all this Stuff?!": Understanding Older Adults' Privacy Concerns in Aged Care Monitoring Devices. Interact. Comput. 33(5): 481-498 (2021) - [c15]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: 3617-3621 - [c14]Hanrui Wang, Shuo Wang, Zhe Jin, Yandan Wang, Cunjian Chen, Massimo Tistarelli:
Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition. FG 2021: 1-8 - [i8]Shuo Wang, Surya Nepal, Kristen Moore, Marthie Grobler, Carsten Rudolph, Alsharif Abuadbba:
OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning. CoRR abs/2105.00602 (2021) - [i7]Shuo Wang, Lingjuan Lyu, Surya Nepal, Carsten Rudolph, Marthie Grobler, Kristen Moore:
Robust Training Using Natural Transformation. CoRR abs/2105.04070 (2021) - 2020
- [j4]Hui Li, Yunpeng Cui, Shuo Wang, Juan Liu, Jinyuan Qin, Yilin Yang:
Multivariate Financial Time-Series Prediction With Certified Robustness. IEEE Access 8: 109133-109143 (2020) - [c13]Shuo Wang, Carsten Rudolph, Surya Nepal, Marthie Grobler, Shangyu Chen:
PART-GAN: Privacy-Preserving Time-Series Sharing. ICANN (1) 2020: 578-593 - [c12]Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. IJCNN 2020: 1-8 - [c11]Sami Alkhatib, Jenny Waycott, George Buchanan, Marthie Grobler, Shuo Wang:
Privacy by Design in Aged Care Monitoring Devices? Well, Not Quite Yet! OZCHI 2020: 492-505 - [c10]Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. WISE (2) 2020: 185-200 - [i6]Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler:
Generating Semantic Adversarial Examples via Feature Manipulation. CoRR abs/2001.02297 (2020) - [i5]Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen:
Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. CoRR abs/2001.03274 (2020) - [i4]Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler:
OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. CoRR abs/2001.06640 (2020) - [i3]Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen:
Defending Adversarial Attacks via Semantic Feature Manipulation. CoRR abs/2002.02007 (2020) - [i2]Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen:
Adversarial Defense by Latent Style Transformations. CoRR abs/2006.09701 (2020)
2010 – 2019
- 2019
- [c9]Shangyu Chen, Shuo Wang, Richard O. Sinnott:
Parametric Canonical Correlation Analysis. CloudCom 2019: 347-353 - [c8]Shuo Wang, Surya Nepal, Richard O. Sinnott, Carsten Rudolph:
P-STM: Privacy-Protected Social Tie Mining of Individual Trajectories. ICWS 2019: 1-10 - [i1]Bang Wu, Xiangwen Yang, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph:
Defending Against Misclassification Attacks in Transfer Learning. CoRR abs/1908.11230 (2019) - 2018
- [j3]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Privacy-protected statistics publication over social media user trajectory streams. Future Gener. Comput. Syst. 87: 792-802 (2018) - [c7]Shuo Wang, Richard O. Sinnott, Surya Nepal:
A Privacy-Preserving Semantic Annotation Framework Using Online Social Media. ICWS 2018: 353-372 - [c6]Shuo Wang, Richard O. Sinnott, Surya Nepal:
PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends. TrustCom/BigDataSE 2018: 920-931 - [c5]Shuo Wang, Richard O. Sinnott, Surya Nepal:
P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets. TrustCom/BigDataSE 2018: 972-983 - 2017
- [j2]Shuo Wang, Richard O. Sinnott:
Protecting personal trajectories of social media users through differential privacy. Comput. Secur. 67: 142-163 (2017) - [c4]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Privacy-protected place of activity mining on big location data. IEEE BigData 2017: 1101-1108 - [c3]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Sensitive gazetteer discovery and protection for mobile social media users. IEEE BigData 2017: 1109-1116 - 2016
- [j1]Shuo Wang, Richard O. Sinnott:
Supporting geospatial privacy-preserving data mining of social media. Soc. Netw. Anal. Min. 6(1): 109:1-109:15 (2016) - [c2]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Protecting the location privacy of mobile social media users. IEEE BigData 2016: 1143-1150 - [c1]Shuo Wang, Richard O. Sinnott, Surya Nepal:
Privacy-protected social media user trajectories calibration. eScience 2016: 293-302
Coauthor Index
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