Rui Wen
Rui Wen
CISPA Helmholtz Center for Information Security
E-mailová adresa ověřena na: - Domovská stránka
Dynamic Backdoor Attacks Against Machine Learning Models
A Salem, R Wen, M Backes, S Ma, Y Zhang
IEEE European Symposium on Security and Privacy (EuroS&P), 2020
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models
Y Liu, R Wen, X He, A Salem, Z Zhang, M Backes, E De Cristofaro, M Fritz, ...
USENIX Security Symposium, 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks
X He, R Wen, Y Wu, M Backes, Y Shen, Y Zhang
arXiv preprint arXiv:2102.05429, 2021
Is Adversarial Training Really a Silver Bullet for Mitigating Data Poisoning?
R Wen, Z Zhao, Z Liu, M Backes, T Wang, Y Zhang
The Eleventh International Conference on Learning Representations, 2023
LEAF: A Faster Secure Search Algorithm via Localization, Extraction, and Reconstruction
R Wen, Y Yu, X Xie, Y Zhang
Proceedings of the 2020 ACM SIGSAC Conference on Computer and Communications …, 2020
Generated Distributions Are All You Need for Membership Inference Attacks Against Generative Models
M Zhang, N Yu, R Wen, M Backes, Y Zhang
IEEE Winter Conference on Applications of Computer Vision (WACV), 2024
Last One Standing: A Comparative Analysis of Security and Privacy of Soft Prompt Tuning, LoRA, and In-Context Learning
R Wen, T Wang, M Backes, Y Zhang, A Salem
arXiv preprint arXiv:2310.11397, 2023
Rapid Adoption, Hidden Risks: The Dual Impact of Large Language Model Customization
R Zhang, H Li, R Wen, W Jiang, Y Zhang, M Backes, Y Shen, Y Zhang
arXiv preprint arXiv:2402.09179, 2024
Quantifying Privacy Risks of Prompts in Visual Prompt Learning
Y Wu, R Wen, M Backes, P Berrang, M Humbert, Y Shen, Y Zhang
USENIX Security Symposium, 2024
Efficient Data-Free Model Stealing with Label Diversity
Y Liu, R Wen, M Backes, Y Zhang
arXiv preprint arXiv:2404.00108, 2024
Systém momentálně nemůže danou operaci provést. Zkuste to znovu později.
Články 1–10