UnGANable: Defending Against GAN-based Face Manipulation

In Proceedings of the In Proceedings of the 32th USENIX Security Symposium (USENIX 2023)

Get a Model! Model Hijacking Attack Against Machine Learning Models

In Proceedings of the 29th Annual Network and Distributed System Security Symposium (NDSS 2022)

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

In Proceedings of the In Proceedings of the 31th USENIX Security Symposium (USENIX 2022)

Dynamic backdoor attacks against machine learning models

In Proceedings of the IEEE 7th European Symposium on Security and Privacy (EuroS&P)

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

In Proceedings of the Annual Computer Security Applications Conference (ACSAC)

Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning

In Proceedings of the In Proceedings of the 29th USENIX Security Symposium (USENIX 2020)

Privacy-preserving Similar Patient Queries for Combined Biomedical Data

In Proceedings of the 19th Privacy Enhancing Technologies Symposium (PETS 2019)

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

In Proceedings of the 26th ACM Conference on Computer and Communications Security (CCS 2019)

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

In Proceedings of the 26th Annual Network and Distributed System Security Symposium (NDSS 2019)

MLCapsule: Guarded Offline Deployment of Machine Learning as a Service