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Latent Imitator: Generating Natural Individual Discriminatory Instances
  for Black-Box Fairness Testing

Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing

19 May 2023
Yisong Xiao
Aishan Liu
Tianlin Li
Xianglong Liu
ArXiv (abs)PDFHTML

Papers citing "Latent Imitator: Generating Natural Individual Discriminatory Instances for Black-Box Fairness Testing"

25 / 25 papers shown
Title
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
Kunsheng Tang
Wenbo Zhou
Jie Zhang
Aishan Liu
Gelei Deng
Shuai Li
Peigui Qi
Weiming Zhang
Tianwei Zhang
Nenghai Yu
110
4
0
22 Aug 2024
NeuronFair: Interpretable White-Box Fairness Testing through Biased
  Neuron Identification
NeuronFair: Interpretable White-Box Fairness Testing through Biased Neuron Identification
Haibin Zheng
Zhiqing Chen
Tianyu Du
Xuhong Zhang
Yao Cheng
S. Ji
Jingyi Wang
Yue Yu
Jinyin Chen
70
53
0
25 Dec 2021
Productivity, Portability, Performance: Data-Centric Python
Productivity, Portability, Performance: Data-Centric Python
Yiheng Wang
Yao Zhang
Yanzhang Wang
Yan Wan
Jiao Wang
Zhongyuan Wu
Yuhao Yang
Bowen She
128
97
0
01 Jul 2021
Bias in Machine Learning Software: Why? How? What to do?
Bias in Machine Learning Software: Why? How? What to do?
Joymallya Chakraborty
Suvodeep Majumder
Tim Menzies
FaML
74
203
0
25 May 2021
Online GANs for Automatic Performance Testing
Online GANs for Automatic Performance Testing
Ivan Porres
Hergys Rexha
S. Lafond
53
8
0
21 Apr 2021
Dual Attention Suppression Attack: Generate Adversarial Camouflage in
  Physical World
Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World
Jiakai Wang
Aishan Liu
Zixin Yin
Shunchang Liu
Shiyu Tang
Xianglong Liu
AAML
194
201
0
01 Mar 2021
A Comprehensive Evaluation Framework for Deep Model Robustness
A Comprehensive Evaluation Framework for Deep Model Robustness
Jun Guo
Wei Bao
Jiakai Wang
Yuqing Ma
Xing Gao
Gang Xiao
Aishan Liu
Zehao Zhao
Xianglong Liu
Wenjun Wu
AAMLELM
62
60
0
24 Jan 2021
Analysis of Generalizability of Deep Neural Networks Based on the
  Complexity of Decision Boundary
Analysis of Generalizability of Deep Neural Networks Based on the Complexity of Decision Boundary
Shuyue Guan
Murray H. Loew
81
28
0
16 Sep 2020
Model-based Exploration of the Frontier of Behaviours for Deep Learning
  System Testing
Model-based Exploration of the Frontier of Behaviours for Deep Learning System Testing
Vincenzo Riccio
Paolo Tonella
AAML
38
131
0
06 Jul 2020
On the Decision Boundaries of Neural Networks: A Tropical Geometry
  Perspective
On the Decision Boundaries of Neural Networks: A Tropical Geometry Perspective
Motasem Alfarra
Adel Bibi
Hasan Hammoud
M. Gaafar
Guohao Li
53
26
0
20 Feb 2020
Characterizing the Decision Boundary of Deep Neural Networks
Characterizing the Decision Boundary of Deep Neural Networks
Hamid Karimi
Hanyu Wang
Jiliang Tang
58
67
0
24 Dec 2019
Interpreting the Latent Space of GANs for Semantic Face Editing
Interpreting the Latent Space of GANs for Semantic Face Editing
Yujun Shen
Jinjin Gu
Xiaoou Tang
Bolei Zhou
CVBMGAN
117
1,123
0
25 Jul 2019
Modeling Tabular data using Conditional GAN
Modeling Tabular data using Conditional GAN
Lei Xu
Maria Skoularidou
Alfredo Cuesta-Infante
K. Veeramachaneni
CMLMUSyDaGAN
119
1,262
0
01 Jul 2019
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Image Counterfactual Sensitivity Analysis for Detecting Unintended Bias
Emily L. Denton
B. Hutchinson
Margaret Mitchell
Timnit Gebru
Andrew Zaldivar
CVBM
61
129
0
14 Jun 2019
Synthesizing Tabular Data using Generative Adversarial Networks
Synthesizing Tabular Data using Generative Adversarial Networks
L. Xu
K. Veeramachaneni
CMLGAN
76
252
0
27 Nov 2018
Automated Directed Fairness Testing
Automated Directed Fairness Testing
Sakshi Udeshi
Pryanshu Arora
Sudipta Chattopadhyay
FaML
60
171
0
02 Jul 2018
Fairness in Criminal Justice Risk Assessments: The State of the Art
Fairness in Criminal Justice Risk Assessments: The State of the Art
R. Berk
Hoda Heidari
S. Jabbari
Michael Kearns
Aaron Roth
56
998
0
27 Mar 2017
Unrolled Generative Adversarial Networks
Unrolled Generative Adversarial Networks
Luke Metz
Ben Poole
David Pfau
Jascha Narain Sohl-Dickstein
GAN
116
1,004
0
07 Nov 2016
Equality of Opportunity in Supervised Learning
Equality of Opportunity in Supervised Learning
Moritz Hardt
Eric Price
Nathan Srebro
FaML
233
4,330
0
07 Oct 2016
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
"Why Should I Trust You?": Explaining the Predictions of Any Classifier
Marco Tulio Ribeiro
Sameer Singh
Carlos Guestrin
FAttFaML
1.2K
17,027
0
16 Feb 2016
Unsupervised Representation Learning with Deep Convolutional Generative
  Adversarial Networks
Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
Alec Radford
Luke Metz
Soumith Chintala
GANOOD
269
14,023
0
19 Nov 2015
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
154
4,903
0
14 Nov 2015
Certifying and removing disparate impact
Certifying and removing disparate impact
Michael Feldman
Sorelle A. Friedler
John Moeller
C. Scheidegger
Suresh Venkatasubramanian
FaML
204
1,993
0
11 Dec 2014
Deep Learning Face Attributes in the Wild
Deep Learning Face Attributes in the Wild
Ziwei Liu
Ping Luo
Xiaogang Wang
Xiaoou Tang
CVBM
247
8,424
0
28 Nov 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
282
14,961
1
21 Dec 2013
1