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2212.10986
Cited By
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning
21 December 2022
A. Salem
Giovanni Cherubin
David E. Evans
Boris Köpf
Andrew J. Paverd
Anshuman Suri
Shruti Tople
Santiago Zanella Béguelin
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Papers citing
"SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning"
7 / 7 papers shown
Title
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
Zexi Yao
Natasa Krco
Georgi Ganev
Yves-Alexandre de Montjoye
78
0
0
02 May 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
Matthieu Meeus
Lukas Wutschitz
Santiago Zanella Béguelin
Shruti Tople
Reza Shokri
75
0
0
24 Feb 2025
Reconstructing training data from document understanding models
Jérémie Dentan
Arnaud Paran
A. Shabou
AAML
SyDa
34
1
0
05 Jun 2024
ATTAXONOMY: Unpacking Differential Privacy Guarantees Against Practical Adversaries
Rachel Cummings
Shlomi Hod
Jayshree Sarathy
Marika Swanberg
31
2
0
02 May 2024
State-of-the-Art Approaches to Enhancing Privacy Preservation of Machine Learning Datasets: A Survey
Chaoyu Zhang
Shaoyu Li
AILaw
43
3
0
25 Feb 2024
Verifiable and Provably Secure Machine Unlearning
Thorsten Eisenhofer
Doreen Riepel
Varun Chandrasekaran
Esha Ghosh
O. Ohrimenko
Nicolas Papernot
AAML
MU
28
25
0
17 Oct 2022
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
267
1,808
0
14 Dec 2020
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