Casey Meehan

According to our database1, Casey Meehan authored at least 11 papers between 2020 and 2024.

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Bibliography

2024
Measuring Privacy Loss in Distributed Spatio-Temporal Data.
CoRR, 2024

Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
The Primacy of Applied Privacy: Different Approaches to Data Privacy Needed for Different Machine Learning Tasks
PhD thesis, 2023

Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Privacy Implications of Shuffling.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Privacy Amplification by Subsampling in Time Domain.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

Sentence-level Privacy for Document Embeddings.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
A Shuffling Framework for Local Differential Privacy.
CoRR, 2021

Location Trace Privacy Under Conditional Priors.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
A Non-Parametric Test to Detect Data-Copying in Generative Models.
CoRR, 2020

A Three Sample Hypothesis Test for Evaluating Generative Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020


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