Protecting the location privacy of mobile social media users. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (IEEE BigData, 2016)

Privacy-protected social media user trajectories calibration. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (eScience, 2016)

Supporting geospatial privacy-preserving data mining of social media. - Shuo Wang 012; Richard O. Sinnott (Soc. Netw. Anal. Min., 2016)

Privacy-protected place of activity mining on big location data. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (IEEE BigData, 2017)

Sensitive gazetteer discovery and protection for mobile social media users. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (IEEE BigData, 2017)

Protecting personal trajectories of social media users through differential privacy. - Shuo Wang 012; Richard O. Sinnott (Comput. Secur., 2017)

A Privacy-Preserving Semantic Annotation Framework Using Online Social Media. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (ICWS, 2018)

PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (TrustCom/BigDataSE, 2018)

P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (TrustCom/BigDataSE, 2018)

Privacy-protected statistics publication over social media user trajectory streams. - Shuo Wang 012; Richard O. Sinnott; Surya Nepal (Future Gener. Comput. Syst., 2018)

Exploration and protection of location privacy in online social networks. - Shuo Wang 012 (2018)

Parametric Canonical Correlation Analysis. - Shangyu Chen; Shuo Wang 012; Richard O. Sinnott (CloudCom, 2019)

P-STM: Privacy-Protected Social Tie Mining of Individual Trajectories. - Shuo Wang 012; Surya Nepal; Richard O. Sinnott; Carsten Rudolph (ICWS, 2019)

Defending Against Misclassification Attacks in Transfer Learning. - Bang Wu; Xiangwen Yang; Shuo Wang 012; Xingliang Yuan; Cong Wang 001; Carsten Rudolph (CoRR, 2019)

PART-GAN: Privacy-Preserving Time-Series Sharing. - Shuo Wang 012; Carsten Rudolph; Surya Nepal; Marthie Grobler; Shangyu Chen (ICANN (1), 2020)

OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. - Shuo Wang 012; Tianle Chen; Shangyu Chen; Surya Nepal; Carsten Rudolph; Marthie Grobler (IJCNN, 2020)

Privacy by Design in Aged Care Monitoring Devices? Well, Not Quite Yet! - Sami Alkhatib; Jenny Waycott; George Buchanan 001; Marthie Grobler; Shuo Wang 012 (OZCHI, 2020)

Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. - Shuo Wang 012; Lingjuan Lyu; Tianle Chen; Shangyu Chen; Surya Nepal; Carsten Rudolph; Marthie Grobler (WISE (2), 2020)

Multivariate Financial Time-Series Prediction With Certified Robustness. - Hui Li; Yunpeng Cui; Shuo Wang 012; Juan Liu; Jinyuan Qin; Yilin Yang (IEEE Access, 2020)

Generating Semantic Adversarial Examples via Feature Manipulation. - Shuo Wang 012; Shangyu Chen; Tianle Chen; Surya Nepal; Carsten Rudolph; Marthie Grobler (CoRR, 2020)

Defending Adversarial Attacks via Semantic Feature Manipulation. - Shuo Wang 012; Tianle Chen; Surya Nepal; Carsten Rudolph; Marthie Grobler; Shangyu Chen (CoRR, 2020)

Adversarial Defense by Latent Style Transformations. - Shuo Wang 012; Surya Nepal; Marthie Grobler; Carsten Rudolph; Tianle Chen; Shangyu Chen (CoRR, 2020)

Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. - He Zhang 012; Bang Wu; Xiangwen Yang; Chuan Zhou 001; Shuo Wang 012; Xingliang Yuan; Shirui Pan (CIKM, 2021)

Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition. - Hanrui Wang 003; Shuo Wang 012; Zhe Jin; Yandan Wang; Cunjian Chen; Massimo Tistarelli (FG, 2021)

OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning. - Shuo Wang 012; Surya Nepal; Kristen Moore; Marthie Grobler; Carsten Rudolph; Alsharif Abuadbba (CoRR, 2021)

Robust Training Using Natural Transformation. - Shuo Wang 012; Lingjuan Lyu; Surya Nepal; Carsten Rudolph; Marthie Grobler; Kristen Moore (CoRR, 2021)

"Who Wants to Know all this Stuff?!": Understanding Older Adults' Privacy Concerns in Aged Care Monitoring Devices. - Sami Alkhatib; Ryan Kelly 001; Jenny Waycott; George Buchanan 001; Marthie Grobler; Shuo Wang 012 (Interact. Comput., 2021)

Reconstruction Attack on Differential Private Trajectory Protection Mechanisms. - Erik Buchholz; Alsharif Abuadbba; Shuo Wang 012; Surya Nepal; Salil Subhash Kanhere (ACSAC, 2022)

Latent Space-Based Backdoor Attacks Against Deep Neural Networks. - Adrian Kristanto; Shuo Wang 012; Carsten Rudolph (IJCNN, 2022)

R-Net: Robustness Enhanced Financial Time-Series Prediction with Differential Privacy. - Shuo Wang 012; Jinyuan Qin; Carsten Rudolph; Surya Nepal; Marthie Grobler (IJCNN, 2022)

Integrity Fingerprinting of DNN with Double Black-box Design and Verification. - Shuo Wang 012; Sharif Abuadbba; Sidharth Agarwal; Kristen Moore; Surya Nepal; Salil S. Kanhere (CoRR, 2022)

Towards Web Phishing Detection Limitations and Mitigation. - Alsharif Abuadbba; Shuo Wang 012; Mahathir Almashor; Muhammad Ejaz Ahmed; Raj Gaire 001; Seyit Camtepe; Surya Nepal (CoRR, 2022)

Tracking Dataset IP Use in Deep Neural Networks. - Seonhye Park; Alsharif Abuadbba; Shuo Wang 012; Kristen Moore; Yansong Gao 001; Hyoungshick Kim; Surya Nepal (CoRR, 2022)

Adversarial Detection by Latent Style Transformations. - Shuo Wang 012; Surya Nepal; Alsharif Abuadbba; Carsten Rudolph; Marthie Grobler (IEEE Trans. Inf. Forensics Secur., 2022)

OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning. - Shuo Wang 012; Surya Nepal; Kristen Moore; Marthie Grobler; Carsten Rudolph; Alsharif Abuadbba (IEEE Trans. Parallel Distributed Syst., 2022)

Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models. - Shuo Wang 012; Surya Nepal; Carsten Rudolph; Marthie Grobler; Shangyu Chen; Tianle Chen (IEEE Trans. Serv. Comput., 2022)

Defending Adversarial Attacks via Semantic Feature Manipulation. - Shuo Wang 012; Surya Nepal; Carsten Rudolph; Marthie Grobler; Shangyu Chen; Tianle Chen; Zike An (IEEE Trans. Serv. Comput., 2022)

DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks. - Seonhye Park; Alsharif Abuadbba; Shuo Wang 012; Kristen Moore; Yansong Gao 001; Hyoungshick Kim; Surya Nepal (ACSAC, 2023)

Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. - Mahathir Almashor; M. Ejaz Ahmed; Benjamin Pick; Jason Xue 002; Sharif Abuadbba; Raj Gaire 001; Shuo Wang 012; Seyit Camtepe; Surya Nepal (AINTEC, 2023)

Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. - He Zhang 012; Bang Wu; Shuo Wang 012; Xiangwen Yang; Minhui Xue 001; Shirui Pan; Xingliang Yuan (ICML, 2023)

DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning. - Shuo Wang 012; Mahathir Almashor; Alsharif Abuadbba; Ruoxi Sun 001; Minhui Xue 001; Calvin Wang; Raj Gaire 001; Surya Nepal; Seyit Camtepe (NDSS, 2023)

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (ESEC/SIGSOFT FSE, 2023)

PublicCheck: Public Integrity Verification for Services of Run-time Deep Models. - Shuo Wang 012; Sharif Abuadbba; Sidharth Agarwal; Kristen Moore; Ruoxi Sun 001; Minhui Xue 001; Surya Nepal; Seyit Camtepe; Salil S. Kanhere (SP, 2023)

Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Shuo Wang 012; Seyit Camtepe; Surya Nepal (WWW, 2023)

Defeating Misclassification Attacks Against Transfer Learning. - Bang Wu; Shuo Wang 012; Xingliang Yuan; Cong Wang 001; Carsten Rudolph; Xiangwen Yang (IEEE Trans. Dependable Secur. Comput., 2023)

Text classification on heterogeneous information network via enhanced GCN and knowledge. - Hui Li; Yan Yan; Shuo Wang 012; Juan Liu; Yunpeng Cui (Neural Comput. Appl., 2023)

An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (Zenodo, 2023)

An Explainability-Guided Testing Framework for Robustness of Malware Detectors. - Ruoxi Sun 001; Minhui Xue 001; Gareth Tyson; Tian Dong; Shaofeng Li 001; Shuo Wang 012; Haojin Zhu; Seyit Camtepe; Surya Nepal (Zenodo, 2023)

LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis. - Bo Li 026; Wenyuan Xu 001; Jieshan Chen; Yang Zhang 016; Minhui Xue 001; Shuo Wang 012; Guangdong Bai; Xingliang Yuan (CCS, 2024)

Learning with Mixture of Prototypes for Out-of-Distribution Detection. - Haodong Lu 002; Dong Gong; Shuo Wang 012; Jason Xue 002; Lina Yao 001; Kristen Moore (ICLR, 2024)

How to Efficiently Manage Critical Infrastructure Vulnerabilities? Toward Large Code-graph Models. - Hongying Zhang; Gaolei Li; Shenghong Li 001; Hongfu Liu 003; Shuo Wang 012; Jianhua Li 001 (LAMPS@CCS, 2024)

A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services. - Hongsheng Hu; Shuo Wang 012; Jiamin Chang; Haonan Zhong; Ruoxi Sun 001; Shuang Hao 001; Haojin Zhu; Minhui Xue 001 (NDSS, 2024)

GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. - Bang Wu; He Zhang 012; Xiangwen Yang; Shuo Wang 012; Minhui Xue 001; Shirui Pan; Xingliang Yuan (NDSS, 2024)

Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. - Hongsheng Hu; Shuo Wang 012; Tian Dong; Minhui Xue 001 (SP, 2024)

LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Minhui Xue 001 (SP, 2024)

Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. - Bang Wu; Xingliang Yuan; Shuo Wang 012; Qi Li 002; Minhui Xue 001; Shirui Pan (SP, 2024)

DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts. - Shuo Wang 012; Hongsheng Hu; Jiamin Chang; Benjamin Zi Hao Zhao; Qi Alfred Chen; Minhui Xue 001 (USENIX Security Symposium, 2024)

Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. - Nan Wu; Xin Yuan 004; Shuo Wang 012; Hongsheng Hu; Minhui Xue 001 (WWW, 2024)

DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking. - Alsharif Abuadbba; Nicholas Rhodes; Kristen Moore; Bushra Sabir; Shuo Wang 012; Yansong Gao 001 (CoRR, 2024)

A Multi-task Adversarial Attack Against Face Authentication. - Hanrui Wang 003; Shuo Wang 012; Cunjian Chen; Massimo Tistarelli; Zhe Jin (CoRR, 2024)

Adapting to Cyber Threats: A Phishing Evolution Network (PEN) Framework for Phishing Generation and Analyzing Evolution Patterns using Large Language Models. - Fengchao Chen; Tingmin Wu; Van Nguyen 002; Shuo Wang 012; Hongsheng Hu; Alsharif Abuadbba; Carsten Rudolph (CoRR, 2024)

SoK: Can Trajectory Generation Combine Privacy and Utility? - Erik Buchholz; Alsharif Abuadbba; Shuo Wang 012; Surya Nepal; Salil S. Kanhere (Proc. Priv. Enhancing Technol., 2024)

On Model Outsourcing Adaptive Attacks to Deep Learning Backdoor Defenses. - Huaibing Peng; Huming Qiu; Hua Ma; Shuo Wang 012; Anmin Fu; Said F. Al-Sarawi; Derek Abbott; Yansong Gao 001 (IEEE Trans. Inf. Forensics Secur., 2024)

A Multi-Task Adversarial Attack against Face Authentication. - Hanrui Wang 005; Shuo Wang 012; Cunjian Chen; Massimo Tistarelli; Zhe Jin (ACM Trans. Multim. Comput. Commun. Appl., 2024)

Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space. - Shuo Wang 012; Shangyu Chen; Tianle Chen; Surya Nepal; Carsten Rudolph; Marthie Grobler (IEEE Trans. Neural Networks Learn. Syst., 2024)

Try to Poison My Deep Learning Data? Nowhere to Hide Your Trajectory Spectrum! - Yansong Gao 001; Huaibing Peng; Hua Ma; Zhi Zhang 001; Shuo Wang 012; Rayne Holland; Anmin Fu; Minhui Xue 001; Derek Abbott (NDSS, 2025)

Iterative Window Mean Filter: Thwarting Diffusion-Based Adversarial Purification. - Hanrui Wang 005; Ruoxi Sun 001; Cunjian Chen; Minhui Xue 001; Lay-Ki Soon; Shuo Wang 012; Zhe Jin (IEEE Trans. Dependable Secur. Comput., 2025)

EPhishCADE: A Privacy-Aware Multi-Dimensional Framework for Email Phishing Campaign Detection. - Wei Kang 004; Nan Wang; Jang Seung; Shuo Wang 012; Alsharif Abuadbba (CoRR, 2025)

From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints. - Yansong Gao 001; Huaibing Peng; Hua Ma; Zhiyang Dai; Shuo Wang 012; Hongsheng Hu; Anmin Fu; Minhui Xue 001 (CoRR, 2025)