Dingfan Chen
7 papers · 2020–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (4) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (12)
🌈
Renaissance Researcher
(5)
🐣
Hot Topic Early Bird
Conferences
NIPS (3)
ICLR (2)
ICML (1)
NAACL (1)
Top co-authors
Research topics
Keywords
differential privacy
(2)
federated learning
(1)
privacy attack
(1)
model adaptation
(1)
privacy-preserving learning
(1)
synthetic data generation
(1)
data privacy
(1)
generative model
(1)
generative adversarial network
(1)
privacy leakage
(1)
data protection
(1)
fine-tuned llm
(1)
wasserstein gan
(1)
private data generation
(1)
large language model
(1)
privacy-preserving machine learning
(1)
gradient sanitization
(1)
Papers
Provably Cost-Sensitive Adversarial Defense via Randomized Smoothing
ICML 2025
PoLLMgraph: Unraveling Hallucinations in Large Language Models via State Transition Dynamics
NAACL 2024
PrivAuditor: Benchmarking Data Protection Vulnerabilities in LLM Adaptation Techniques
NIPS 2024
Responsible Disclosure of Generative Models Using Scalable Fingerprinting
ICLR 2022
Private Set Generation with Discriminative Information
NIPS 2022
RelaxLoss: Defending Membership Inference Attacks without Losing Utility
ICLR 2022
GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators
NIPS 2020