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A Linear Reconstruction Approach for Attribute Inference Attacks against
  Synthetic Data

A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data

24 January 2023
Meenatchi Sundaram Muthu Selva Annamalai
Andrea Gadotti
Luc Rocher
    MIACV
ArXivPDFHTML

Papers citing "A Linear Reconstruction Approach for Attribute Inference Attacks against Synthetic Data"

16 / 16 papers shown
Title
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
Nicolas Küchler
Alexander Viand
Hidde Lycklama
Anwar Hithnawi
21
0
0
10 May 2025
The DCR Delusion: Measuring the Privacy Risk of Synthetic Data
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
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
Rui Xin
Niloofar Mireshghallah
Shuyue Stella Li
Michael Duan
Hyunwoo Kim
Yejin Choi
Yulia Tsvetkov
Sewoong Oh
Pang Wei Koh
69
1
0
28 Apr 2025
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
DeSIA: Attribute Inference Attacks Against Limited Fixed Aggregate Statistics
Yifeng Mao
Bozhidar Stevanoski
Yves-Alexandre de Montjoye
45
0
0
25 Apr 2025
Synthetic Data Privacy Metrics
Synthetic Data Privacy Metrics
Amy Steier
Lipika Ramaswamy
Andre Manoel
Alexa Haushalter
38
0
0
08 Jan 2025
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data
  Generation
KIPPS: Knowledge infusion in Privacy Preserving Synthetic Data Generation
Anantaa Kotal
Anupam Joshi
17
1
0
25 Sep 2024
Lost in the Averages: A New Specific Setup to Evaluate Membership
  Inference Attacks Against Machine Learning Models
Lost in the Averages: A New Specific Setup to Evaluate Membership Inference Attacks Against Machine Learning Models
Florent Guépin
Natasa Krco
Matthieu Meeus
Yves-Alexandre de Montjoye
29
1
0
24 May 2024
"What do you want from theory alone?" Experimenting with Tight Auditing
  of Differentially Private Synthetic Data Generation
"What do you want from theory alone?" Experimenting with Tight Auditing of Differentially Private Synthetic Data Generation
Meenatchi Sundaram Muthu Selva Annamalai
Georgi Ganev
Emiliano De Cristofaro
35
9
0
16 May 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey
  and the Open Libraries Behind Them
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them
Chao-Jung Liu
Boxi Chen
Wei Shao
Chris Zhang
Kelvin Wong
Yi Zhang
19
3
0
22 Jan 2024
Methods for generating and evaluating synthetic longitudinal patient
  data: a systematic review
Methods for generating and evaluating synthetic longitudinal patient data: a systematic review
Katariina Perkonoja
Kari Auranen
Joni Virta
SyDa
10
3
0
21 Sep 2023
Synthetic is all you need: removing the auxiliary data assumption for
  membership inference attacks against synthetic data
Synthetic is all you need: removing the auxiliary data assumption for membership inference attacks against synthetic data
Florent Guépin
Matthieu Meeus
Ana-Maria Cretu
Yves-Alexandre de Montjoye
13
10
0
04 Jul 2023
Achilles' Heels: Vulnerable Record Identification in Synthetic Data
  Publishing
Achilles' Heels: Vulnerable Record Identification in Synthetic Data Publishing
Matthieu Meeus
Florent Guépin
Ana-Maria Cretu
Yves-Alexandre de Montjoye
52
23
0
17 Jun 2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data
  Generation
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation
Takayuki Miura
Toshiki Shibahara
M. Kii
Atsunori Ichikawa
Juko Yamamoto
Koji Chida
SyDa
17
0
0
31 Mar 2023
Robin Hood and Matthew Effects: Differential Privacy Has Disparate
  Impact on Synthetic Data
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data
Georgi Ganev
Bristena Oprisanu
Emiliano De Cristofaro
37
57
0
23 Sep 2021
Extracting Training Data from Large Language Models
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
The Power of Linear Reconstruction Attacks
The Power of Linear Reconstruction Attacks
S. Kasiviswanathan
M. Rudelson
Adam D. Smith
AAML
55
54
0
08 Oct 2012
1