Shuo Wang - RankMe

90 papers A* 17A 6B 4C 1Misc 1Journal 47Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Artificial intelligence security and privacy: a survey. Sci. China Inf. Sci. Xinlei He, Guowen Xu, Xingshuo Han, Qian Wang, Lingchen Zhao, Chao Shen, Chenhao Lin, Zhengyu Zhao, Qian Li, Le Yang, Shouling Ji, Shaofeng Li, Haojin Zhu, Zhibo Wang, Rui Zheng, Tianqing Zhu, Qi Li, Chaoxiang He, Qifan Wang, Hongsheng Hu, Shuo Wang, Shi-Feng Sun, Hongwei Yao, Qinyu Zhang, Kai Chen, Yue Zhao, Hongwei Li, Xinyi Huang, Dengguo Feng
2025	A	`conf`	BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning. RAID Bingguang Lu, Hongsheng Hu, Yuantian Miao, Shaleeza Sohail, Chaoxiang He, Shuo Wang, Xiao Chen
2025	J	`jnl`	BadFU: Backdoor Federated Learning through Adversarial Machine Unlearning. CoRR Bingguang Lu, Hongsheng Hu, Yuantian Miao, Shaleeza Sohail, Chaoxiang He, Shuo Wang, Xiao Chen
2025	J	`jnl`	Diffusion-Driven Universal Model Inversion Attack for Face Recognition. CoRR Hanrui Wang, Shuo Wang, Chun-Shien Lu, Isao Echizen
2025	J	`jnl`	EPhishCADE: A Privacy-Aware Multi-Dimensional Framework for Email Phishing Campaign Detection. CoRR Wei Kang, Nan Wang, Jang Seung, Shuo Wang, Alsharif Abuadbba
2025	A*	`conf`	Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training. CVPR Shixin Li, Chaoxiang He, Xiaojing Ma, Bin Benjamin Zhu, Shuo Wang, Hongsheng Hu, Dongmei Zhang, Linchen Yu
2025	J	`jnl`	From Pixels to Trajectory: Universal Adversarial Example Detection via Temporal Imprints. CoRR Yansong Gao, Huaibing Peng, Hua Ma, Zhiyang Dai, Shuo Wang, Hongsheng Hu, Anmin Fu, Minhui Xue
2025	J	`jnl`	Iterative Window Mean Filter: Thwarting Diffusion-Based Adversarial Purification. IEEE Trans. Dependable Secur. Comput. Hanrui Wang, Ruoxi Sun, Cunjian Chen, Minhui Xue, Lay-Ki Soon, Shuo Wang, Zhe Jin
2025	A*	`conf`	LAMPS '25: ACM CCS Workshop on Large AI Systems and Models with Privacy and Security Analysis. CCS Kwok-Yan Lam, Xiaoning Liu, Derui Wang, Bo Li, Wenyuan Xu, Jieshan Chen, Minhui Xue, Xingliang Yuan, Guangdong Bai, Shuo Wang
2025	J	`jnl`	Malicious Image Analysis via Vision-Language Segmentation Fusion: Detection, Element, and Location in One-shot. CoRR Sheng Hang, Chaoxiang He, Hongsheng Hu, Hanqing Hu, Bin Benjamin Zhu, Shifeng Sun, Dawu Gu, Shuo Wang
2025	—	`ed.`	Proceedings of the 2025 Workshop on Large AI Systems and Models with Privacy and Security Analysis, LAMPS 2025, TaipeiTaiwan, October 13-17, 2025 LAMPS@CCS Kwok-Yan Lam, Xiaoning Liu, Derui Wang, Ruoxi Sun, Bo Li, Wenyuan Xu, Jieshan Chen, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2025	A*	`conf`	Try to Poison My Deep Learning Data? Nowhere to Hide Your Trajectory Spectrum! NDSS Yansong Gao, Huaibing Peng, Hua Ma, Zhi Zhang, Shuo Wang, Rayne Holland, Anmin Fu, Minhui Xue, Derek Abbott
2024	A*	`conf`	A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services. NDSS Hongsheng Hu, Shuo Wang, Jiamin Chang, Haonan Zhong, Ruoxi Sun, Shuang Hao, Haojin Zhu, Minhui Xue
2024	J	`jnl`	A Multi-Task Adversarial Attack against Face Authentication. ACM Trans. Multim. Comput. Commun. Appl. Hanrui Wang, Shuo Wang, Cunjian Chen, Massimo Tistarelli, Zhe Jin
2024	J	`jnl`	A Multi-task Adversarial Attack Against Face Authentication. CoRR Hanrui Wang, Shuo Wang, Cunjian Chen, Massimo Tistarelli, Zhe Jin
2024	J	`jnl`	Adapting to Cyber Threats: A Phishing Evolution Network (PEN) Framework for Phishing Generation and Analyzing Evolution Patterns using Large Language Models. CoRR Fengchao Chen, Tingmin Wu, Van Nguyen, Shuo Wang, Hongsheng Hu, Alsharif Abuadbba, Carsten Rudolph
2024	A*	`conf`	Cardinality Counting in "Alcatraz": A Privacy-aware Federated Learning Approach. WWW Nan Wu, Xin Yuan, Shuo Wang, Hongsheng Hu, Minhui Xue
2024	A*	`conf`	DNN-GP: Diagnosing and Mitigating Model's Faults Using Latent Concepts. USENIX Security Symposium Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Qi Alfred Chen, Minhui Xue
2024	J	`jnl`	DeepiSign-G: Generic Watermark to Stamp Hidden DNN Parameters for Self-contained Tracking. CoRR Alsharif Abuadbba, Nicholas Rhodes, Kristen Moore, Bushra Sabir, Shuo Wang, Yansong Gao
2024	J	`jnl`	Generating Semantic Adversarial Examples via Feature Manipulation in Latent Space. IEEE Trans. Neural Networks Learn. Syst. Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2024	A*	`conf`	GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. NDSS Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
2024	—	`conf`	How to Efficiently Manage Critical Infrastructure Vulnerabilities? Toward Large Code-graph Models. LAMPS@CCS Hongying Zhang, Gaolei Li, Shenghong Li, Hongfu Liu, Shuo Wang, Jianhua Li
2024	J	`jnl`	Iterative Window Mean Filter: Thwarting Diffusion-based Adversarial Purification. CoRR Hanrui Wang, Ruoxi Sun, Cunjian Chen, Minhui Xue, Lay-Ki Soon, Shuo Wang, Zhe Jin
2024	A*	`conf`	LACMUS: Latent Concept Masking for General Robustness Enhancement of DNNs. SP Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Minhui Xue
2024	A*	`conf`	LAMPS '24: ACM CCS Workshop on Large AI Systems and Models with Privacy and Safety Analysis. CCS Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Minhui Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2024	A*	`conf`	Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. SP Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue
2024	J	`jnl`	Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning. CoRR Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue
2024	A*	`conf`	Learning with Mixture of Prototypes for Out-of-Distribution Detection. ICLR Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
2024	J	`jnl`	Learning with Mixture of Prototypes for Out-of-Distribution Detection. CoRR Haodong Lu, Dong Gong, Shuo Wang, Jason Xue, Lina Yao, Kristen Moore
2024	J	`jnl`	On Model Outsourcing Adaptive Attacks to Deep Learning Backdoor Defenses. IEEE Trans. Inf. Forensics Secur. Huaibing Peng, Huming Qiu, Hua Ma, Shuo Wang, Anmin Fu, Said F. Al-Sarawi, Derek Abbott, Yansong Gao
2024	A*	`conf`	Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. SP Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan
2024	J	`jnl`	SoK: Can Trajectory Generation Combine Privacy and Utility? CoRR Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere
2024	J	`jnl`	SoK: Can Trajectory Generation Combine Privacy and Utility? Proc. Priv. Enhancing Technol. Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere
2023	J	`jnl`	A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services. CoRR Hongsheng Hu, Shuo Wang, Jiamin Chang, Haonan Zhong, Ruoxi Sun, Shuang Hao, Haojin Zhu, Minhui Xue
2023	A*	`conf`	DOITRUST: Dissecting On-chain Compromised Internet Domains via Graph Learning. NDSS Shuo Wang, Mahathir Almashor, Alsharif Abuadbba, Ruoxi Sun, Minhui Xue, Calvin Wang, Raj Gaire, Surya Nepal, Seyit Camtepe
2023	A	`conf`	DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks. ACSAC Seonhye Park, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal
2023	J	`jnl`	Defeating Misclassification Attacks Against Transfer Learning. IEEE Trans. Dependable Secur. Comput. Bang Wu, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph, Xiangwen Yang
2023	A*	`conf`	Demystifying Uneven Vulnerability of Link Stealing Attacks against Graph Neural Networks. ICML He Zhang, Bang Wu, Shuo Wang, Xiangwen Yang, Minhui Xue, Shirui Pan, Xingliang Yuan
2023	J	`jnl`	GraphGuard: Detecting and Counteracting Training Data Misuse in Graph Neural Networks. CoRR Bang Wu, He Zhang, Xiangwen Yang, Shuo Wang, Minhui Xue, Shirui Pan, Xingliang Yuan
2023	—	`conf`	Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors. ESEC/SIGSOFT FSE Ruoxi Sun, Minhui Xue, Gareth Tyson, Tian Dong, Shaofeng Li, Shuo Wang, Haojin Zhu, Seyit Camtepe, Surya Nepal
2023	A*	`conf`	Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. WWW Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal
2023	J	`jnl`	Not Seen, Not Heard in the Digital World! Measuring Privacy Practices in Children's Apps. CoRR Ruoxi Sun, Minhui Xue, Gareth Tyson, Shuo Wang, Seyit Camtepe, Surya Nepal
2023	—	`ed.`	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 LAMPS@CCS Bo Li, Wenyuan Xu, Jieshan Chen, Yang Zhang, Jason Xue, Shuo Wang, Guangdong Bai, Xingliang Yuan
2023	A*	`conf`	PublicCheck: Public Integrity Verification for Services of Run-time Deep Models. SP Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Ruoxi Sun, Minhui Xue, Surya Nepal, Seyit Camtepe, Salil S. Kanhere
2023	J	`jnl`	Securing Graph Neural Networks in MLaaS: A Comprehensive Realization of Query-based Integrity Verification. CoRR Bang Wu, Xingliang Yuan, Shuo Wang, Qi Li, Minhui Xue, Shirui Pan
2023	J	`jnl`	Text classification on heterogeneous information network via enhanced GCN and knowledge. Neural Comput. Appl. Hui Li, Yan Yan, Shuo Wang, Juan Liu, Yunpeng Cui
2023	—	`conf`	Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. AINTEC Mahathir Almashor, M. Ejaz Ahmed, Benjamin Pick, Jason Xue, Sharif Abuadbba, Raj Gaire, Shuo Wang, Seyit Camtepe, Surya Nepal
2022	J	`jnl`	Adversarial Detection by Latent Style Transformations. IEEE Trans. Inf. Forensics Secur. Shuo Wang, Surya Nepal, Alsharif Abuadbba, Carsten Rudolph, Marthie Grobler
2022	J	`jnl`	Backdoor Attacks Against Transfer Learning With Pre-Trained Deep Learning Models. IEEE Trans. Serv. Comput. Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
2022	J	`jnl`	Defending Adversarial Attacks via Semantic Feature Manipulation. IEEE Trans. Serv. Comput. Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen, Zike An
2022	J	`jnl`	Integrity Fingerprinting of DNN with Double Black-box Design and Verification. CoRR Shuo Wang, Sharif Abuadbba, Sidharth Agarwal, Kristen Moore, Surya Nepal, Salil S. Kanhere
2022	B	`conf`	Latent Space-Based Backdoor Attacks Against Deep Neural Networks. IJCNN Adrian Kristanto, Shuo Wang, Carsten Rudolph
2022	J	`jnl`	OCTOPUS: Overcoming Performance and Privatization Bottlenecks in Distributed Learning. IEEE Trans. Parallel Distributed Syst. Shuo Wang, Surya Nepal, Kristen Moore, Marthie Grobler, Carsten Rudolph, Alsharif Abuadbba
2022	B	`conf`	R-Net: Robustness Enhanced Financial Time-Series Prediction with Differential Privacy. IJCNN Shuo Wang, Jinyuan Qin, Carsten Rudolph, Surya Nepal, Marthie Grobler
2022	A	`conf`	Reconstruction Attack on Differential Private Trajectory Protection Mechanisms. ACSAC Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil Subhash Kanhere
2022	J	`jnl`	Reconstruction Attack on Differential Private Trajectory Protection Mechanisms. CoRR Erik Buchholz, Alsharif Abuadbba, Shuo Wang, Surya Nepal, Salil S. Kanhere
2022	J	`jnl`	Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition. CoRR Hanrui Wang, Shuo Wang, Zhe Jin, Yandan Wang, Cunjian Chen, Massimo Tistarelli
2022	J	`jnl`	Towards Web Phishing Detection Limitations and Mitigation. CoRR Alsharif Abuadbba, Shuo Wang, Mahathir Almashor, Muhammad Ejaz Ahmed, Raj Gaire, Seyit Camtepe, Surya Nepal
2022	J	`jnl`	Tracking Dataset IP Use in Deep Neural Networks. CoRR Seonhye Park, Alsharif Abuadbba, Shuo Wang, Kristen Moore, Yansong Gao, Hyoungshick Kim, Surya Nepal
2022	J	`jnl`	Unraveling Threat Intelligence Through the Lens of Malicious URL Campaigns. CoRR Mahathir Almashor, M. Ejaz Ahmed, Benjamin Pick, Sharif Abuadbba, Jason Xue, Raj Gaire, Shuo Wang, Seyit Camtepe, Surya Nepal
2021	J	`jnl`	"Who Wants to Know all this Stuff?!": Understanding Older Adults' Privacy Concerns in Aged Care Monitoring Devices. Interact. Comput. Sami Alkhatib, Ryan Kelly, Jenny Waycott, George Buchanan, Marthie Grobler, Shuo Wang
2021	J	`jnl`	OCTOPUS: Overcoming Performance andPrivatization Bottlenecks in Distributed Learning. CoRR Shuo Wang, Surya Nepal, Kristen Moore, Marthie Grobler, Carsten Rudolph, Alsharif Abuadbba
2021	A	`conf`	Projective Ranking: A Transferable Evasion Attack Method on Graph Neural Networks. CIKM He Zhang, Bang Wu, Xiangwen Yang, Chuan Zhou, Shuo Wang, Xingliang Yuan, Shirui Pan
2021	J	`jnl`	Robust Training Using Natural Transformation. CoRR Shuo Wang, Lingjuan Lyu, Surya Nepal, Carsten Rudolph, Marthie Grobler, Kristen Moore
2021	B	`conf`	Similarity-based Gray-box Adversarial Attack Against Deep Face Recognition. FG Hanrui Wang, Shuo Wang, Zhe Jin, Yandan Wang, Cunjian Chen, Massimo Tistarelli
2020	J	`jnl`	Adversarial Defense by Latent Style Transformations. CoRR Shuo Wang, Surya Nepal, Marthie Grobler, Carsten Rudolph, Tianle Chen, Shangyu Chen
2020	J	`jnl`	Backdoor Attacks against Transfer Learning with Pre-trained Deep Learning Models. CoRR Shuo Wang, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen, Tianle Chen
2020	J	`jnl`	Defending Adversarial Attacks via Semantic Feature Manipulation. CoRR Shuo Wang, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler, Shangyu Chen
2020	J	`jnl`	Generating Semantic Adversarial Examples via Feature Manipulation. CoRR Shuo Wang, Shangyu Chen, Tianle Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	J	`jnl`	Multivariate Financial Time-Series Prediction With Certified Robustness. IEEE Access Hui Li, Yunpeng Cui, Shuo Wang, Juan Liu, Jinyuan Qin, Yilin Yang
2020	B	`conf`	OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. IJCNN Shuo Wang, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2020	J	`jnl`	OIAD: One-for-all Image Anomaly Detection with Disentanglement Learning. CoRR Shuo Wang, Tianle Chen, Shangyu Chen, Carsten Rudolph, Surya Nepal, Marthie Grobler
2020	—	`conf`	PART-GAN: Privacy-Preserving Time-Series Sharing. ICANN (1) Shuo Wang, Carsten Rudolph, Surya Nepal, Marthie Grobler, Shangyu Chen
2020	Misc	`conf`	Privacy by Design in Aged Care Monitoring Devices? Well, Not Quite Yet! OZCHI Sami Alkhatib, Jenny Waycott, George Buchanan, Marthie Grobler, Shuo Wang
2020	—	`conf`	Privacy-Preserving Data Generation and Sharing Using Identification Sanitizer. WISE (2) Shuo Wang, Lingjuan Lyu, Tianle Chen, Shangyu Chen, Surya Nepal, Carsten Rudolph, Marthie Grobler
2019	J	`jnl`	Defending Against Misclassification Attacks in Transfer Learning. CoRR Bang Wu, Xiangwen Yang, Shuo Wang, Xingliang Yuan, Cong Wang, Carsten Rudolph
2019	A	`conf`	P-STM: Privacy-Protected Social Tie Mining of Individual Trajectories. ICWS Shuo Wang, Surya Nepal, Richard O. Sinnott, Carsten Rudolph
2019	C	`conf`	Parametric Canonical Correlation Analysis. CloudCom Shangyu Chen, Shuo Wang, Richard O. Sinnott
2018	A	`conf`	A Privacy-Preserving Semantic Annotation Framework Using Online Social Media. ICWS Shuo Wang, Richard O. Sinnott, Surya Nepal
2018	—	`—`	Exploration and protection of location privacy in online social networks. Shuo Wang
2018	—	`conf`	P-GENT: Privacy-Preserving Geocoding of Non-Geotagged Tweets. TrustCom/BigDataSE Shuo Wang, Richard O. Sinnott, Surya Nepal
2018	—	`conf`	PAIRS: Privacy-Aware Identification and Recommendation of Spatio-Friends. TrustCom/BigDataSE Shuo Wang, Richard O. Sinnott, Surya Nepal
2018	J	`jnl`	Privacy-protected statistics publication over social media user trajectory streams. Future Gener. Comput. Syst. Shuo Wang, Richard O. Sinnott, Surya Nepal
2017	—	`conf`	Privacy-protected place of activity mining on big location data. IEEE BigData Shuo Wang, Richard O. Sinnott, Surya Nepal
2017	J	`jnl`	Protecting personal trajectories of social media users through differential privacy. Comput. Secur. Shuo Wang, Richard O. Sinnott
2017	—	`conf`	Sensitive gazetteer discovery and protection for mobile social media users. IEEE BigData Shuo Wang, Richard O. Sinnott, Surya Nepal
2016	—	`conf`	Privacy-protected social media user trajectories calibration. eScience Shuo Wang, Richard O. Sinnott, Surya Nepal
2016	—	`conf`	Protecting the location privacy of mobile social media users. IEEE BigData Shuo Wang, Richard O. Sinnott, Surya Nepal
2016	J	`jnl`	Supporting geospatial privacy-preserving data mining of social media. Soc. Netw. Anal. Min. Shuo Wang, Richard O. Sinnott
2006	A*	`conf`	Face-tracking as an augmented input in video games: enhancing presence, role-playing and control. CHI Shuo Wang, Xiaocao Xiong, Yan Xu, Chao Wang, Weiwei Zhang, Xiaofeng Dai, Dongmei Zhang