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Auditing and Generating Synthetic Data with Controllable Trust
  Trade-offs

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

21 April 2023
Brian M. Belgodere
Pierre L. Dognin
Adam Ivankay
Igor Melnyk
Youssef Mroueh
Aleksandra Mojsilović
Jiri Navartil
Apoorva Nitsure
Inkit Padhi
Mattia Rigotti
Jerret Ross
Yair Schiff
Radhika Vedpathak
Richard A. Young
ArXivPDFHTML

Papers citing "Auditing and Generating Synthetic Data with Controllable Trust Trade-offs"

12 / 12 papers shown
Title
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic
  Data
Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
Yu Xia
Chi-Hua Wang
Joshua Mabry
Guang Cheng
ELM
24
3
0
19 Jun 2024
Six Levels of Privacy: A Framework for Financial Synthetic Data
Six Levels of Privacy: A Framework for Financial Synthetic Data
T. Balch
Vamsi K. Potluru
Deepak Paramanand
Manuela Veloso
18
0
0
20 Mar 2024
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training
  Improves LLM Generalization
Take the Bull by the Horns: Hard Sample-Reweighted Continual Training Improves LLM Generalization
Xuxi Chen
Zhendong Wang
Daouda Sow
Junjie Yang
Tianlong Chen
Yingbin Liang
Mingyuan Zhou
Zhangyang Wang
30
5
0
22 Feb 2024
SocialCounterfactuals: Probing and Mitigating Intersectional Social
  Biases in Vision-Language Models with Counterfactual Examples
SocialCounterfactuals: Probing and Mitigating Intersectional Social Biases in Vision-Language Models with Counterfactual Examples
Phillip Howard
Avinash Madasu
Tiep Le
Gustavo Lujan Moreno
Anahita Bhiwandiwalla
Vasudev Lal
43
16
0
30 Nov 2023
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
Potential Societal Biases of ChatGPT in Higher Education: A Scoping Review
Ming Li
Ariunaa Enkhtur
B. Yamamoto
Fei Cheng
Lilan Chen
AI4CE
17
3
0
24 Nov 2023
Post-processing Private Synthetic Data for Improving Utility on Selected
  Measures
Post-processing Private Synthetic Data for Improving Utility on Selected Measures
Hao Wang
Shivchander Sudalairaj
J. Henning
Kristjan Greenewald
Akash Srivastava
19
5
0
24 May 2023
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic
  Contrast Sets
Balancing the Picture: Debiasing Vision-Language Datasets with Synthetic Contrast Sets
Brandon Smith
Miguel Farinha
S. Hall
Hannah Rose Kirk
Aleksandar Shtedritski
Max Bain
16
19
0
24 May 2023
Fairness Reprogramming
Fairness Reprogramming
Guanhua Zhang
Yihua Zhang
Yang Zhang
Wenqi Fan
Qing Li
Sijia Liu
Shiyu Chang
AAML
78
38
0
21 Sep 2022
A Systematic Study of Bias Amplification
A Systematic Study of Bias Amplification
Melissa Hall
L. V. D. van der Maaten
Laura Gustafson
Maxwell Jones
Aaron B. Adcock
92
69
0
27 Jan 2022
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating
  and Auditing Generative Models
How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models
Ahmed Alaa
B. V. Breugel
Evgeny S. Saveliev
M. Schaar
38
186
0
17 Feb 2021
Adversarial Attacks for Tabular Data: Application to Fraud Detection and
  Imbalanced Data
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
F. Cartella
Orlando Anunciação
Yuki Funabiki
D. Yamaguchi
Toru Akishita
Olivier Elshocht
AAML
48
71
0
20 Jan 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
1,798
0
14 Dec 2020
1