Dingfan Chen
Publications by Year
Research Areas
Privacy-Preserving Technologies in Data, Adversarial Robustness in Machine Learning, Generative Adversarial Networks and Image Synthesis, Stochastic Gradient Optimization Techniques, Machine Learning in Healthcare
Most-Cited Works
- → GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models(2020)273 cited
- → BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements(2021)163 cited
- → GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators(2020)58 cited
- GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs(2019)
- → Privacy considerations for sharing genomics data(2021)27 cited
- → Responsible Disclosure of Generative Models Using Scalable Fingerprinting(2020)21 cited
- → Private Set Generation with Discriminative Information(2022)14 cited
- → RelaxLoss: Defending Membership Inference Attacks without Losing Utility(2022)11 cited
- → MargCTGAN: A “Marginally” Better CTGAN for the Low Sample Regime(2024)9 cited