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Casey Meehan
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Books and Theses
- 2023
- [b1]Casey Meehan:
The Primacy of Applied Privacy: Different Approaches to Data Privacy Needed for Different Machine Learning Tasks. University of California, San Diego, USA, 2023
Conference and Workshop Papers
- 2024
- [c7]Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot:
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. USENIX Security Symposium 2024 - 2023
- [c6]Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo:
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. NeurIPS 2023 - 2022
- [c5]Casey Meehan, Khalil Mrini, Kamalika Chaudhuri:
Sentence-level Privacy for Document Embeddings. ACL (1) 2022: 3367-3380 - [c4]Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri:
Privacy Amplification by Subsampling in Time Domain. AISTATS 2022: 4055-4069 - [c3]Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha:
Privacy Implications of Shuffling. ICLR 2022 - 2021
- [c2]Casey Meehan, Kamalika Chaudhuri:
Location Trace Privacy Under Conditional Priors. AISTATS 2021: 2881-2889 - 2020
- [c1]Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta:
A Three Sample Hypothesis Test for Evaluating Generative Models. AISTATS 2020: 3546-3556
Informal and Other Publications
- 2024
- [i9]Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri:
Measuring Privacy Loss in Distributed Spatio-Temporal Data. CoRR abs/2402.11526 (2024) - 2023
- [i8]Casey Meehan, Florian Bordes, Pascal Vincent, Kamalika Chaudhuri, Chuan Guo:
Do SSL Models Have Déjà Vu? A Case of Unintended Memorization in Self-supervised Learning. CoRR abs/2304.13850 (2023) - [i7]Anvith Thudi, Hengrui Jia, Casey Meehan, Ilia Shumailov, Nicolas Papernot:
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD. CoRR abs/2307.00310 (2023) - 2022
- [i6]Tatsuki Koga, Casey Meehan, Kamalika Chaudhuri:
Privacy Amplification by Subsampling in Time Domain. CoRR abs/2201.04762 (2022) - [i5]Casey Meehan, Khalil Mrini, Kamalika Chaudhuri:
Sentence-level Privacy for Document Embeddings. CoRR abs/2205.04605 (2022) - 2021
- [i4]Casey Meehan, Kamalika Chaudhuri:
Location Trace Privacy Under Conditional Priors. CoRR abs/2102.11955 (2021) - [i3]Casey Meehan, Amrita Roy Chowdhury, Kamalika Chaudhuri, Somesh Jha:
A Shuffling Framework for Local Differential Privacy. CoRR abs/2106.06603 (2021) - 2020
- [i2]Casey Meehan, Kamalika Chaudhuri, Sanjoy Dasgupta:
A Non-Parametric Test to Detect Data-Copying in Generative Models. CoRR abs/2004.05675 (2020) - 2019
- [i1]Casey Meehan, Kamalika Chaudhuri:
Location Trace Privacy Under Conditional Priors. CoRR abs/1912.04228 (2019)
Coauthor Index
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