Ristenpart, Thomas

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Fredrikson, M., Jha, S., & Ristenpart, T. (2015) · Proceedings of the 22nd ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 2,961

Stealing Machine Learning Models via Prediction APIs

Tramèr, F., Zhang, F., Juels, A., Reiter, M. K., & Ristenpart, T. (2016) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 796

Machine Learning Models that Remember Too Much

Song, C., Ristenpart, T., & Shmatikov, V. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 526

The Spyware Used in Intimate Partner Violence

Chatterjee, R., Doerfler, P., Orgad, H., Havron, S., Palmer, J., Freed, D., Levy, K., Dell, N., McCoy, D., & Ristenpart, T. (2018) · 2018 IEEE Symposium on Security and Privacy (SP)

Stalking, Cyberstalking, and HarassmentAdvanced Malware Detection Techniques

Cited by 142

The tao of inference in privacy-protected databases

Bindschaedler, V., Grubbs, P., Cash, D., Ristenpart, T., & Shmatikov, V. (2018) · Proceedings of the VLDB Endowment

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 75