Dingfan Chen - RankMe

28 papers A* 7A 2Journal 16Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Jailbreaking Attacks vs. Content Safety Filters: How Far Are We in the LLM Safety Arms Race? CoRR Yuan Xin, Dingfan Chen, Linyi Yang, Michael Backes, Xiao Zhang
2025	A*	`conf`	Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing. ICML Yuan Xin, Dingfan Chen, Michael Backes, Xiao Zhang
2024	J	`jnl`	A Unified View of Differentially Private Deep Generative Modeling. Trans. Mach. Learn. Res. Dingfan Chen, Raouf Kerkouche, Mario Fritz
2024	J	`jnl`	FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations. Proc. Priv. Enhancing Technol. Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
2024	A	`conf`	Inside the Black Box: Detecting Data Leakage in Pre-Trained Language Encoders. ECAI Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024	J	`jnl`	Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders. CoRR Yuan Xin, Zheng Li, Ning Yu, Dingfan Chen, Mario Fritz, Michael Backes, Yang Zhang
2024	—	`conf`	PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. NAACL-HLT (Findings) Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz
2024	J	`jnl`	PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics. CoRR Derui Zhu, Dingfan Chen, Qing Li, Zongxiong Chen, Lei Ma, Jens Grossklags, Mario Fritz
2024	A*	`conf`	PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques. NeurIPS Derui Zhu, Dingfan Chen, Xiongfei Wu, Jiahui Geng, Zhuo Li, Jens Grossklags, Lei Ma
2024	J	`jnl`	Towards Biologically Plausible and Private Gene Expression Data Generation. CoRR Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz
2024	J	`jnl`	Towards Biologically Plausible and Private Gene Expression Data Generation. Proc. Priv. Enhancing Technol. Dingfan Chen, Marie Oestreich, Tejumade Afonja, Raouf Kerkouche, Matthias Becker, Mario Fritz
2023	J	`jnl`	A Unified View of Differentially Private Deep Generative Modeling. CoRR Dingfan Chen, Raouf Kerkouche, Mario Fritz
2023	J	`jnl`	Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy. CoRR Derui Zhu, Dingfan Chen, Jens Grossklags, Mario Fritz
2023	J	`jnl`	Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy. CoRR Hui-Po Wang, Dingfan Chen, Raouf Kerkouche, Mario Fritz
2023	—	`conf`	MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. DAGM Tejumade Afonja, Dingfan Chen, Mario Fritz
2023	J	`jnl`	MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime. CoRR Tejumade Afonja, Dingfan Chen, Mario Fritz
2023	—	`—`	Towards privacy-preserving machine learning: generative modeling and discriminative analysis. Dingfan Chen
2022	A*	`conf`	Private Set Generation with Discriminative Information. NeurIPS Dingfan Chen, Raouf Kerkouche, Mario Fritz
2022	J	`jnl`	Private Set Generation with Discriminative Information. CoRR Dingfan Chen, Raouf Kerkouche, Mario Fritz
2022	A*	`conf`	RelaxLoss: Defending Membership Inference Attacks without Losing Utility. ICLR Dingfan Chen, Ning Yu, Mario Fritz
2022	J	`jnl`	RelaxLoss: Defending Membership Inference Attacks without Losing Utility. CoRR Dingfan Chen, Ning Yu, Mario Fritz
2022	A*	`conf`	Responsible Disclosure of Generative Models Using Scalable Fingerprinting. ICLR Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry S. Davis, Mario Fritz
2021	A	`conf`	BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements. ACSAC Xiaoyi Chen, Ahmed Salem, Dingfan Chen, Michael Backes, Shiqing Ma, Qingni Shen, Zhonghai Wu, Yang Zhang
2020	A*	`conf`	GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models. CCS Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz
2020	A*	`conf`	GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. NeurIPS Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
2020	J	`jnl`	GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators. CoRR Dingfan Chen, Tribhuvanesh Orekondy, Mario Fritz
2020	J	`jnl`	Responsible Disclosure of Generative Models Using Scalable Fingerprinting. CoRR Ning Yu, Vladislav Skripniuk, Dingfan Chen, Larry Davis, Mario Fritz
2019	J	`jnl`	GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs. CoRR Dingfan Chen, Ning Yu, Yang Zhang, Mario Fritz