Number of items: 7.
Chen, Dingfan and Kerkouche, Raouf and Fritz, Mario
(2022)
Private Set Generation with Discriminative Information.
Chen, Dingfan and Yu, Ning and Fritz, Mario
(2022)
RelaxLoss: Defending Membership Inference Attacks without Losing Utility.
Yu, Ning and Skripniuk, Vladislav and Chen, Dingfan and Davis, Larry S. and Fritz, Mario
(2022)
Responsible Disclosure of Generative Models Using Scalable Fingerprinting.
Oestreich, Marie and Chen, Dingfan and Schultze, Joachim L. and Fritz, Mario and Becker, Matthias
(2021)
Privacy considerations for sharing genomics data.
EXCLI Journal Eperimental and Clinical Sciences, 20.
pp. 1243-1260.
ISSN 1611-2156
Chen, Xiaoyi and Salem, Ahmed and Chen, Dingfan and Backes, Michael and Ma, Shiqing and Shen, Qingni and Wu, Zhonghai and Zhang, Yang
(2021)
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements.
Chen, Dingfan and Orekondy, Tribhuvanesh and Fritz, Mario
(2020)
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.
Chen, Dingfan and Yu, Ning and Zhang, Yang and Fritz, Mario
(2020)
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.
This list was generated on Tue Nov 12 20:23:17 2024 CET.