Zhu, Sencun

Semantics-based obfuscation-resilient binary code similarity comparison with applications to software plagiarism detection

Luo, L., Ming, J., Wu, D., Liu, P., & Zhu, S. (2014) · Proceedings of the 22nd ACM SIGSOFT International Symposium on Foundations of Software Engineering

Software Engineering ResearchAcademic integrity and plagiarism

Cited by 220

Semantics-Based Obfuscation-Resilient Binary Code Similarity Comparison with Applications to Software and Algorithm Plagiarism Detection

Luo, L., Ming, J., Wu, D., Liu, P., & Zhu, S. (2017) · IEEE Transactions on Software Engineering

Software Engineering ResearchSecurity and Verification in Computing

Cited by 144

Backdoor Embedding in Convolutional Neural Network Models via Invisible Perturbation

Liao, C., Zhong, H., Squicciarini, A., Zhu, S., & Miller, D. (2018) · arXiv

Adversarial Robustness in Machine LearningDigital Media Forensic Detection

Cited by 110

Behavior based software theft detection

Wang, X., Jhi, Y.-C., Zhu, S., & Liu, P. (2009) · Proceedings of the 16th ACM conference on Computer and communications security

Software Engineering ResearchPhysical Unclonable Functions (PUFs) and Hardware Security

Cited by 101

Value-based program characterization and its application to software plagiarism detection

Jhi, Y.-C., Wang, X., Jia, X., Zhu, S., Liu, P., & Wu, D. (2011) · Proceedings of the 33rd International Conference on Software Engineering

Software Engineering ResearchAcademic integrity and plagiarism

Cited by 83

A Lightweight Blockchain-Based Privacy Protection for Smart Surveillance at the Edge

Fitwi, A., Chen, Y., & Zhu, S. (2019) · 2019 IEEE International Conference on Blockchain (Blockchain)

Blockchain Technology Applications and SecurityIoT and Edge/Fog Computing

Cited by 76

Program Logic Based Software Plagiarism Detection

Zhang, F., Wu, D., Liu, P., & Zhu, S. (2014) · 2014 IEEE 25th International Symposium on Software Reliability Engineering

Software Engineering ResearchAcademic integrity and plagiarism

Cited by 57

Federated Unlearning with Knowledge Distillation

Wu, C., Zhu, S., & Mitra, P. (2022) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 50

AppWatcher: unveiling the underground market of trading mobile app reviews

Xie, Z., & Zhu, S. (2015) · Proceedings of the 8th ACM Conference on Security & Privacy in Wireless and Mobile Networks

Spam and Phishing DetectionCybercrime and Law Enforcement Studies

Cited by 38

Program Characterization Using Runtime Values and Its Application to Software Plagiarism Detection

Jhi, Y.-C., Jia, X., Wang, X., Zhu, S., Liu, P., & Wu, D. (2015) · IEEE Transactions on Software Engineering

Software Engineering ResearchSecurity and Verification in Computing

Cited by 35

Deviation-Based Obfuscation-Resilient Program Equivalence Checking With Application to Software Plagiarism Detection

Ming, J., Zhang, F., Wu, D., Liu, P., & Zhu, S. (2016) · IEEE Transactions on Reliability

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 33

GroupTie: toward hidden collusion group discovery in app stores

Xie, Z., & Zhu, S. (2014) · Proceedings of the 2014 ACM conference on Security and privacy in wireless & mobile networks

Spam and Phishing DetectionBenford’s Law and Fraud Detection

Cited by 19

Toward Cleansing Backdoored Neural Networks in Federated Learning

Wu, C., Yang, X., Zhu, S., & Mitra, P. (2022) · 2022 IEEE 42nd International Conference on Distributed Computing Systems (ICDCS)

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 12