Shuo Wang

According to our database, Shuo Wang authored at least 39 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

SoK: Can Trajectory Generation Combine Privacy and Utility?

Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere

CoRR, 2024

Learning with Mixture of Prototypes for Out-of-Distribution Detection.

Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore

CoRR, 2024

2023

An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal

Dataset, August, 2023

An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal

Dataset, August, 2023

Text classification on heterogeneous information network via enhanced GCN and knowledge.

Hui Li, Yan Yan, Shuo Wang, Juan Liu, Yunpeng Cui

Neural Comput. Appl., July, 2023

Defeating Misclassification Attacks Against Transfer Learning.

Bang Wu, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph, Xiangwen Yang

IEEE Trans. Dependable Secur. Comput., 2023

Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal

Proceedings of the ACM Web Conference 2023, 2023

PublicCheck: Public Integrity Verification for Services of Run-time Deep Models.

Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Ruoxi Sun, Minhui Xue, Surya Nepal, Seyit Camtepe, Salil S. Kanhere

Proceedings of the 44th IEEE Symposium on Security and Privacy, 2023

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors.

Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning.

Shuo Wang, Mahathir Almashor, Alsharif Abuadbba, Ruoxi Sun, Minhui Xue, Calvin Wang, Raj Gaire, Surya Nepal, Seyit Camtepe

Proceedings of the 30th Annual Network and Distributed System Security Symposium, 2023

Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns.

Mahathir Almashor, M. Ejaz Ahmed, Benjamin Pick, Jason Xue, Sharif Abuadbba, Raj Gaire, Shuo Wang, Seyit Camtepe, Surya Nepal

Proceedings of the 18th Asian Internet Engineering Conference, 2023

DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks.

Seonhye Park, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal

Proceedings of the Annual Computer Security Applications Conference, 2023

2022

Defending Adversarial Attacks via Semantic Feature Manipulation.

Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An

IEEE Trans. Serv. Comput., 2022

Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models.

Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen

IEEE Trans. Serv. Comput., 2022

OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning.

Shuo Wang, Surya Nepal, Kristen Moore, Marthie Grobler, Carsten Rudolph, Alsharif Abuadbba

IEEE Trans. Parallel Distributed Syst., 2022

Adversarial Detection by Latent Style Transformations.

Shuo Wang, Surya Nepal, Alsharif Abuadbba, Carsten Rudolph, Marthie Grobler

IEEE Trans. Inf. Forensics Secur., 2022

Tracking Dataset IP Use in Deep Neural Networks.

Seonhye Park, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal

CoRR, 2022

Towards Web Phishing Detection Limitations and Mitigation.

Alsharif Abuadbba, Shuo Wang, Mahathir Almashor, Muhammad Ejaz Ahmed, Raj Gaire, Seyit Camtepe, Surya Nepal

CoRR, 2022

Integrity Fingerprinting of DNN with Double Black-box Design and Verification.

Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Surya Nepal, Salil S. Kanhere

CoRR, 2022

R-Net: Robustness Enhanced Financial Time-Series Prediction with Differential Privacy.

Shuo Wang, Jinyuan Qin, Carsten Rudolph, Surya Nepal, Marthie Grobler

Proceedings of the International Joint Conference on Neural Networks, 2022

Reconstruction Attack on Differential Private Trajectory Protection Mechanisms.

Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil Subhash Kanhere

Proceedings of the Annual Computer Security Applications Conference, 2022

2021

Robust Training Using Natural Transformation.

Shuo Wang, Lingjuan Lyu, Surya Nepal, Carsten Rudolph, Marthie Grobler, Kristen Moore

CoRR, 2021

OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning.

Shuo Wang, Surya Nepal, Kristen Moore, Marthie Grobler, Carsten Rudolph, Alsharif Abuadbba

CoRR, 2021

2020

Adversarial Defense by Latent Style Transformations.

Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen

CoRR, 2020

Defending Adversarial Attacks via Semantic Feature Manipulation.

Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen

CoRR, 2020

Generating Semantic Adversarial Examples via Feature Manipulation.

Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

CoRR, 2020

Multivariate Financial Time-Series Prediction With Certified Robustness.

Hui Li, Yunpeng Cui, Shuo Wang, Juan Liu, Jinyuan Qin, Yilin Yang

IEEE Access, 2020

Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer.

Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

Proceedings of the Web Information Systems Engineering - WISE 2020, 2020

OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning.

Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

PART-GAN: Privacy-Preserving Time-Series Sharing.

Shuo Wang, Carsten Rudolph, Surya Nepal, Marthie Grobler, Shangyu Chen

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2020, 2020

2019

P-STM: Privacy-Protected Social Tie Mining of Individual Trajectories.

Shuo Wang, Surya Nepal, Richard O. Sinnott, Carsten Rudolph

Proceedings of the 2019 IEEE International Conference on Web Services, 2019

2018

Privacy-protected statistics publication over social media user trajectory streams.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Future Gener. Comput. Syst., 2018

P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Proceedings of the 17th IEEE International Conference On Trust, 2018

PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Proceedings of the 17th IEEE International Conference On Trust, 2018

A Privacy-Preserving Semantic Annotation Framework Using Online Social Media.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Proceedings of the Web Services - ICWS 2018, 2018

2017

Sensitive gazetteer discovery and protection for mobile social media users.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Privacy-protected place of activity mining on big location data.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016

Privacy-protected social media user trajectories calibration.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Proceedings of the 12th IEEE International Conference on e-Science, 2016

Protecting the location privacy of mobile social media users.

Shuo Wang, Richard O. Sinnott, Surya Nepal

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016