Dingfan Chen

Orcid: 0000-0001-7279-6624

According to our database1, Dingfan Chen authored at least 12 papers between 2019 and 2024.

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Bibliography

2024
Towards Biologically Plausible and Private Gene Expression Data Generation.
CoRR, 2024

2023
A Unified View of Differentially Private Deep Generative Modeling.
CoRR, 2023

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy.
CoRR, 2023

Fed-GLOSS-DP: Federated, Global Learning using Synthetic Sets with Record Level Differential Privacy.
CoRR, 2023

MargCTGAN: A "Marginally" Better CTGAN for the Low Sample Regime.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Private Set Generation with Discriminative Information.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Responsible Disclosure of Generative Models Using Scalable Fingerprinting.
Proceedings of the Tenth International Conference on Learning Representations, 2022

RelaxLoss: Defending Membership Inference Attacks without Losing Utility.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements.
Proceedings of the ACSAC '21: Annual Computer Security Applications Conference, Virtual Event, USA, December 6, 2021

2020
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models.
Proceedings of the CCS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, 2020

2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs.
CoRR, 2019


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