Wang, XiaoFeng

Leaky Cauldron on the Dark Land: Understanding Memory Side-Channel Hazards in SGX

Wang, W., Chen, G., Pan, X., Zhang, Y., Wang, X., Bindschaedler, V., Tang, H., & Gunter, C. A. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

Security and Verification in ComputingCryptographic Implementations and Security

Cited by 320

Privacy in the Genomic Era

Naveed, M., Ayday, E., Clayton, E. W., Fellay, J., Gunter, C. A., Hubaux, J.-P., Malin, B. A., & Wang, X. (2015) · ACM Computing Surveys

Privacy-Preserving Technologies in DataPrivacy, Security, and Data Protection

Cited by 261

Understanding Membership Inferences on Well-Generalized Learning Models

Long, Y., Bindschaedler, V., Wang, L., Bu, D., Wang, X., Tang, H., Gunter, C. A., & Chen, K. (2018) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 166

Upgrading Your Android, Elevating My Malware: Privilege Escalation through Mobile OS Updating

Xing, L., Pan, X., Wang, R., Yuan, K., & Wang, X. (2014) · 2014 IEEE Symposium on Security and Privacy

Advanced Malware Detection TechniquesSecurity and Verification in Computing

Cited by 111

Prompt Injection attack against LLM-integrated Applications

Liu, Y., Deng, G., Li, Y., Wang, K., Wang, Z., Wang, X., Zhang, T., Liu, Y., Wang, H., Zheng, Y., et al. (2023) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 100

Malla: Demystifying Real-world Large Language Model Integrated Malicious Services

Lin, Z., Cui, J., Liao, X., & Wang, X. (2024) · arXiv

Adversarial Robustness in Machine LearningCybercrime and Law Enforcement Studies

Cited by 13

The Early Bird Catches the Leak: Unveiling Timing Side Channels in LLM Serving Systems

Song, L., Pang, Z., Wang, W., Wang, Z., Wang, X., Chen, H., Song, W., Jin, Y., Meng, D., & Hou, R. (2025) · IEEE Transactions on Information Forensics and Security

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 7

A-MemGuard: A Proactive Defense Framework for LLM-Based Agent Memory

Wei, Q., Yang, T., Wang, Y., Li, X., Li, L., Yin, Z., Zhan, Y., Holz, T., Lin, Z., & Wang, X. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1