Gunter, Carl A.

Toward a science of learning systems: a research agenda for the high-functioning Learning Health System

Friedman, C., Rubin, J., Brown, J., Buntin, M., Corn, M., Etheredge, L., Gunter, C., Musen, M., Platt, R., Stead, W., et al. (2015) · Journal of the American Medical Informatics Association

Electronic Health Records SystemsArtificial Intelligence in Healthcare and Education

Cited by 509

Property Inference Attacks on Fully Connected Neural Networks using Permutation Invariant Representations

Ganju, K., Wang, Q., Yang, W., Gunter, C. A., & Borisov, N. (2018) · Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 475

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

Fear and Logging in the Internet of Things

Wang, Q., Hassan, W. U., Bates, A., & Gunter, C. (2018) · Proceedings 2018 Network and Distributed System Security Symposium

IoT and Edge/Fog ComputingNetwork Security and Intrusion Detection

Cited by 196

Privacy and Security in Mobile Health: A Research Agenda

Kotz, D., Gunter, C. A., Kumar, S., & Weiner, J. P. (2016) · Computer

Mobile Health and mHealth ApplicationsPrivacy, Security, and Data Protection

Cited by 185

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