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Is my Data in your AI Model? Membership Inference Test with Application
  to Face Images

Is my Data in your AI Model? Membership Inference Test with Application to Face Images

14 February 2024
Daniel DeAlcala
Aythami Morales
Gonzalo Mancera
Julian Fierrez
Ruben Tolosana
J. Ortega-Garcia
    CVBM
ArXivPDFHTML

Papers citing "Is my Data in your AI Model? Membership Inference Test with Application to Face Images"

25 / 25 papers shown
Title
Is My Text in Your AI Model? Gradient-based Membership Inference Test applied to LLMs
Gonzalo Mancera
Daniel DeAlcala
Julian Fierrez
Ruben Tolosana
Aythami Morales
79
1
0
10 Mar 2025
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Second FRCSyn-onGoing: Winning Solutions and Post-Challenge Analysis to Improve Face Recognition with Synthetic Data
Ivan Deandres-Tame
Ruben Tolosana
Pietro Melzi
R. Vera-Rodríguez
Minchul Kim
...
Bernardo Biesseck
Pedro Vidal
Luiz Coelho
Roger Granada
David Menotti
135
2
0
02 Dec 2024
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed
  on AI-based Recruitment
Human-Centric Multimodal Machine Learning: Recent Advances and Testbed on AI-based Recruitment
Alejandro Peña
Ignacio Serna
Aythami Morales
Julian Fierrez
Alfonso Ortega
Ainhoa Herrarte
Manuel Alcántara
J. Ortega-Garcia
FaML
68
37
0
13 Feb 2023
Reconstructing Training Data from Trained Neural Networks
Reconstructing Training Data from Trained Neural Networks
Niv Haim
Gal Vardi
Gilad Yehudai
Ohad Shamir
Michal Irani
76
138
0
15 Jun 2022
User-Level Membership Inference Attack against Metric Embedding Learning
User-Level Membership Inference Attack against Metric Embedding Learning
Guoyao Li
Shahbaz Rezaei
Xin Liu
95
23
0
04 Mar 2022
Membership Inference Attacks From First Principles
Membership Inference Attacks From First Principles
Nicholas Carlini
Steve Chien
Milad Nasr
Shuang Song
Andreas Terzis
Florian Tramèr
MIACV
MIALM
76
695
0
07 Dec 2021
On the Importance of Difficulty Calibration in Membership Inference
  Attacks
On the Importance of Difficulty Calibration in Membership Inference Attacks
Lauren Watson
Chuan Guo
Graham Cormode
Alex Sablayrolles
85
131
0
15 Nov 2021
Survey: Leakage and Privacy at Inference Time
Survey: Leakage and Privacy at Inference Time
Marija Jegorova
Chaitanya Kaul
Charlie Mayor
Alison Q. OÑeil
Alexander Weir
Roderick Murray-Smith
Sotirios A. Tsaftaris
PILM
MIACV
58
72
0
04 Jul 2021
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
A Survey of Privacy Vulnerabilities of Mobile Device Sensors
Paula Delgado-Santos
Giuseppe Stragapede
Ruben Tolosana
R. Guest
F. Deravi
R. Vera-Rodríguez
PILM
61
47
0
18 Jun 2021
Sample and Computation Redistribution for Efficient Face Detection
Sample and Computation Redistribution for Efficient Face Detection
Jia Guo
Jiankang Deng
Alexandros Lattas
Stefanos Zafeiriou
CVBM
53
127
0
10 May 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
114
435
0
14 Mar 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks,
  and Defenses
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses
Micah Goldblum
Dimitris Tsipras
Chulin Xie
Xinyun Chen
Avi Schwarzschild
D. Song
Aleksander Madry
Yue Liu
Tom Goldstein
SILM
87
281
0
18 Dec 2020
Partial FC: Training 10 Million Identities on a Single Machine
Partial FC: Training 10 Million Identities on a Single Machine
Xiang An
Xuhan Zhu
Yanghua Xiao
Lan Wu
Ming Zhang
Yuan Gao
Bin Qin
Debing Zhang
Ying Fu
CVBM
107
218
0
11 Oct 2020
Label-Only Membership Inference Attacks
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo
Florian Tramèr
Nicholas Carlini
Nicolas Papernot
MIACV
MIALM
90
511
0
28 Jul 2020
SensitiveLoss: Improving Accuracy and Fairness of Face Representations
  with Discrimination-Aware Deep Learning
SensitiveLoss: Improving Accuracy and Fairness of Face Representations with Discrimination-Aware Deep Learning
Ignacio Serna
Aythami Morales
Julian Fierrez
Manuel Cebrian
Nick Obradovich
Iyad Rahwan
FaML
CVBM
56
76
0
22 Apr 2020
InsideBias: Measuring Bias in Deep Networks and Application to Face
  Gender Biometrics
InsideBias: Measuring Bias in Deep Networks and Application to Face Gender Biometrics
Ignacio Serna
Alejandro Peña
Aythami Morales
Julian Fierrez
CVBM
86
61
0
14 Apr 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models
Systematic Evaluation of Privacy Risks of Machine Learning Models
Liwei Song
Prateek Mittal
MIACV
341
371
0
24 Mar 2020
Radioactive data: tracing through training
Radioactive data: tracing through training
Alexandre Sablayrolles
Matthijs Douze
Cordelia Schmid
Hervé Jégou
74
75
0
03 Feb 2020
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
Hongxu Yin
Pavlo Molchanov
Zhizhong Li
J. Álvarez
Arun Mallya
Derek Hoiem
N. Jha
Jan Kautz
66
565
0
18 Dec 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies,
  Opportunities and Challenges toward Responsible AI
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI
Alejandro Barredo Arrieta
Natalia Díaz Rodríguez
Javier Del Ser
Adrien Bennetot
Siham Tabik
...
S. Gil-Lopez
Daniel Molina
Richard Benjamins
Raja Chatila
Francisco Herrera
XAI
118
6,266
0
22 Oct 2019
Certified Defenses for Data Poisoning Attacks
Certified Defenses for Data Poisoning Attacks
Jacob Steinhardt
Pang Wei Koh
Percy Liang
AAML
89
755
0
09 Jun 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
249
4,122
0
18 Oct 2016
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
277
19,049
0
20 Dec 2014
Understanding Deep Image Representations by Inverting Them
Understanding Deep Image Representations by Inverting Them
Aravindh Mahendran
Andrea Vedaldi
FAtt
121
1,962
0
26 Nov 2014
Poisoning Attacks against Support Vector Machines
Poisoning Attacks against Support Vector Machines
Battista Biggio
B. Nelson
Pavel Laskov
AAML
112
1,590
0
27 Jun 2012
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