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2405.01820
Cited By
Real Risks of Fake Data: Synthetic Data, Diversity-Washing and Consent Circumvention
3 May 2024
Cedric Deslandes Whitney
Justin Norman
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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?
Lingze Zhang
Ellie Pavlick
SyDa
156
0
0
11 Feb 2025
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
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
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
Mckane Andrus
Sarah Villeneuve
FaML
70
51
0
18 Apr 2022
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
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
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
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
C. Bai
Hsuan-Tien Lin
Colin Raffel
Wendy Kan
46
35
0
06 Jun 2021
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
Inioluwa Deborah Raji
G. Fried
CVBM
68
54
0
01 Feb 2021
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
Samantha Robertson
Niloufar Salehi
31
42
0
13 Jul 2020
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?
Vinay Uday Prabhu
Abeba Birhane
76
366
0
24 Jun 2020
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
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
Manish Raghavan
Solon Barocas
Jon M. Kleinberg
K. Levy
MLAU
FaML
74
525
0
21 Jun 2019
Do ImageNet Classifiers Generalize to ImageNet?
Benjamin Recht
Rebecca Roelofs
Ludwig Schmidt
Vaishaal Shankar
OOD
SSeg
VLM
121
1,726
0
13 Feb 2019
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
Hassan Ismail Fawaz
Germain Forestier
J. Weber
L. Idoumghar
Pierre-Alain Muller
67
145
0
07 Aug 2018
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
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
Lu Zhang
Yongkai Wu
Xintao Wu
CML
58
174
0
22 Nov 2016
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
Dong Yi
Zhen Lei
Tianran Ouyang
Stan Z. Li
CVBM
97
2,011
0
28 Nov 2014
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