Lynn Chua

According to our database1, Lynn Chua authored at least 13 papers between 2014 and 2024.

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Bibliography

2024
Unlearn and Burn: Adversarial Machine Unlearning Requests Destroy Model Accuracy.
CoRR, 2024

Crosslingual Capabilities and Knowledge Barriers in Multilingual Large Language Models.
CoRR, 2024

Mind the Privacy Unit! User-Level Differential Privacy for Language Model Fine-Tuning.
CoRR, 2024

How Private is DP-SGD?
CoRR, 2024

Training Differentially Private Ad Prediction Models with Semi-Sensitive Features.
CoRR, 2024

How Private are DP-SGD Implementations?
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Training Differentially Private Ad Prediction Models With Semi-Sensitive Features.
Proceedings of the Workshop on Data Mining for Online Advertising (AdKDD 2024) co-located with the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2024), 2024

2020
Discrete and Complex Algorithms for Curves.
PhD thesis, 2020

On the Concrete Security of LWE with Small Secret.
IACR Cryptol. ePrint Arch., 2020

2019
On Cycles of Pairing-Friendly Elliptic Curves.
SIAM J. Appl. Algebra Geom., 2019

Schottky algorithms: Classical meets tropical.
Math. Comput., 2019

Computing Theta Functions with Julia.
CoRR, 2019

2014
Equipopularity Classes of 132-Avoiding Permutations.
Electron. J. Comb., 2014


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