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Papers
A Fully Probabilistic Perspective on Large Language Model Unlearning: Evaluation and Optimization
EMNLP 2025
Leveraging Semantic Triples for Private Document Generation with Local Differential Privacy Guarantees
EMNLP 2025
On the Impact of Noise in Differentially Private Text Rewriting
NAACL 2025
Private Lossless Multiple Release
ICML 2025
Private Realizable-to-Agnostic Transformation with Near-Optimal Sample Complexity
COLT 2025
Bounding training data reconstruction in DP-SGD
NeurIPS 2023
Discrete Distribution Estimation under User-level Local Differential Privacy
AISTATS 2023
The Test of Tests: A Framework for Differentially Private Hypothesis Testing
ICML 2023
Differential privacy for symmetric log-concave mechanisms
AISTATS 2022