Chen, Dingfan

9 publications

NeurIPS 2025 More than Just Functional: LLM-as-a-Critique for Efficient Code Generation Derui Zhu, Dingfan Chen, Jinfu Chen, Jens Grossklags, Walter Pretschner, Weiyi Shang

ICML 2025 Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang

TMLR 2024 A Unified View of Differentially Private Deep Generative Modeling Dingfan Chen, Raouf Kerkouche, Mario Fritz

NeurIPS 2024 PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma

ICMLW 2023 MargCTGAN: A ``Marginally'' Better CTGAN for the Low Sample Regime Tejumade Afonja, Dingfan Chen, Mario Fritz

NeurIPS 2022 Private Set Generation with Discriminative Information Dingfan Chen, Raouf Kerkouche, Mario Fritz

ICLR 2022 RelaxLoss: Defending Membership Inference Attacks Without Losing Utility Dingfan Chen, Ning Yu, Mario Fritz

ICLR 2022 Responsible Disclosure of Generative Models Using Scalable Fingerprinting Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz

NeurIPS 2020 GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz