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Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent
  Circumvention

Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention

3 May 2024
Cedric Deslandes Whitney
Justin Norman
ArXiv (abs)PDFHTML

Papers citing "Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention"

27 / 27 papers shown
Title
Does Training on Synthetic Data Make Models Less Robust?
Does Training on Synthetic Data Make Models Less Robust?
Lingze Zhang
Ellie Pavlick
SyDa
156
0
0
11 Feb 2025
An Evaluation of Forensic Facial Recognition
An Evaluation of Forensic Facial Recognition
Justin Norman
S. Agarwal
Hany Farid
CVBM
44
3
0
10 Nov 2023
Going public: the role of public participation approaches in commercial
  AI labs
Going public: the role of public participation approaches in commercial AI labs
Lara Groves
Aidan Peppin
A. Strait
Jenny Brennan
59
28
0
16 Jun 2023
CrowdWorkSheets: Accounting for Individual and Collective Identities
  Underlying Crowdsourced Dataset Annotation
CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation
Mark Díaz
Ian D Kivlichan
Rachel Rosen
Dylan K. Baker
Razvan Amironesei
Vinodkumar Prabhakaran
Emily L. Denton
61
85
0
09 Jun 2022
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of
  Demographic Data Collection in the Pursuit of Fairness
Demographic-Reliant Algorithmic Fairness: Characterizing the Risks of Demographic Data Collection in the Pursuit of Fairness
Mckane Andrus
Sarah Villeneuve
FaML
70
51
0
18 Apr 2022
What Does it Mean for a Language Model to Preserve Privacy?
What Does it Mean for a Language Model to Preserve Privacy?
Hannah Brown
Katherine Lee
Fatemehsadat Mireshghallah
Reza Shokri
Florian Tramèr
PILM
92
243
0
11 Feb 2022
Fake It Till You Make It: Face analysis in the wild using synthetic data
  alone
Fake It Till You Make It: Face analysis in the wild using synthetic data alone
Erroll Wood
Tadas Baltruvsaitis
Charlie Hewitt
Sebastian Dziadzio
Matthew W. Johnson
V. Estellers
T. Cashman
Jamie Shotton
CVBM
65
264
0
30 Sep 2021
SynFace: Face Recognition with Synthetic Data
SynFace: Face Recognition with Synthetic Data
Haibo Qiu
Baosheng Yu
Dihong Gong
Zhifeng Li
Wei Liu
Dacheng Tao
91
129
0
18 Aug 2021
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Mitigating Dataset Harms Requires Stewardship: Lessons from 1000 Papers
Kenny Peng
Arunesh Mathur
Arvind Narayanan
154
96
0
06 Aug 2021
On Training Sample Memorization: Lessons from Benchmarking Generative
  Modeling with a Large-scale Competition
On Training Sample Memorization: Lessons from Benchmarking Generative Modeling with a Large-scale Competition
C. Bai
Hsuan-Tien Lin
Colin Raffel
Wendy Kan
46
35
0
06 Jun 2021
Diffusion Models Beat GANs on Image Synthesis
Diffusion Models Beat GANs on Image Synthesis
Prafulla Dhariwal
Alex Nichol
268
7,938
0
11 May 2021
About Face: A Survey of Facial Recognition Evaluation
About Face: A Survey of Facial Recognition Evaluation
Inioluwa Deborah Raji
G. Fried
CVBM
68
54
0
01 Feb 2021
Deep Learning for Procedural Content Generation
Deep Learning for Procedural Content Generation
Jialin Liu
Sam Snodgrass
Ahmed Khalifa
S. Risi
Georgios N. Yannakakis
Julian Togelius
3DV
75
137
0
09 Oct 2020
What If I Don't Like Any Of The Choices? The Limits of Preference
  Elicitation for Participatory Algorithm Design
What If I Don't Like Any Of The Choices? The Limits of Preference Elicitation for Participatory Algorithm Design
Samantha Robertson
Niloufar Salehi
31
42
0
13 Jul 2020
Participation is not a Design Fix for Machine Learning
Participation is not a Design Fix for Machine Learning
Mona Sloane
Emanuel Moss
O. Awomolo
Laura Forlano
HAI
81
214
0
05 Jul 2020
Large image datasets: A pyrrhic win for computer vision?
Large image datasets: A pyrrhic win for computer vision?
Vinay Uday Prabhu
Abeba Birhane
76
366
0
24 Jun 2020
Privacy Preserving Face Recognition Utilizing Differential Privacy
Privacy Preserving Face Recognition Utilizing Differential Privacy
Pathum Chamikara Mahawaga Arachchige
P. Bertók
I. Khalil
D. Liu
S. Çamtepe
PICV
80
120
0
21 May 2020
Towards Fairer Datasets: Filtering and Balancing the Distribution of the
  People Subtree in the ImageNet Hierarchy
Towards Fairer Datasets: Filtering and Balancing the Distribution of the People Subtree in the ImageNet Hierarchy
Kaiyu Yang
Klint Qinami
Li Fei-Fei
Jia Deng
Olga Russakovsky
124
320
0
16 Dec 2019
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Mitigating Bias in Algorithmic Hiring: Evaluating Claims and Practices
Manish Raghavan
Solon Barocas
Jon M. Kleinberg
K. Levy
MLAUFaML
74
525
0
21 Jun 2019
Do ImageNet Classifiers Generalize to ImageNet?
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OODSSegVLM
121
1,726
0
13 Feb 2019
Mechanism Design for Social Good
Mechanism Design for Social Good
Rediet Abebe
Kira Goldner
49
50
0
21 Oct 2018
Data augmentation using synthetic data for time series classification
  with deep residual networks
Data augmentation using synthetic data for time series classification with deep residual networks
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
67
145
0
07 Aug 2018
Deep reinforcement learning from human preferences
Deep reinforcement learning from human preferences
Paul Christiano
Jan Leike
Tom B. Brown
Miljan Martic
Shane Legg
Dario Amodei
218
3,365
0
12 Jun 2017
Good Semi-supervised Learning that Requires a Bad GAN
Good Semi-supervised Learning that Requires a Bad GAN
Zihang Dai
Zhilin Yang
Fan Yang
William W. Cohen
Ruslan Salakhutdinov
GAN
75
484
0
27 May 2017
A causal framework for discovering and removing direct and indirect
  discrimination
A causal framework for discovering and removing direct and indirect discrimination
Lu Zhang
Yongkai Wu
Xintao Wu
CML
58
174
0
22 Nov 2016
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
206
1,993
0
11 Dec 2014
Learning Face Representation from Scratch
Learning Face Representation from Scratch
Dong Yi
Zhen Lei
Tianran Ouyang
Stan Z. Li
CVBM
97
2,011
0
28 Nov 2014
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