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2002.10312
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Learning Certified Individually Fair Representations
Neural Information Processing Systems (NeurIPS), 2020
24 February 2020
Anian Ruoss
Mislav Balunović
Marc Fischer
Martin Vechev
FaML
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Papers citing
"Learning Certified Individually Fair Representations"
50 / 70 papers shown
Fair Representation Learning with Controllable High Confidence Guarantees via Adversarial Inference
Yuhong Luo
Austin Hoag
Xintong Wang
Philip S Thomas
Przemyslaw A. Grabowicz
FaML
316
0
0
23 Oct 2025
Wasserstein Distributionally Robust Optimization Through the Lens of Structural Causal Models and Individual Fairness
Neural Information Processing Systems (NeurIPS), 2025
A. Ehyaei
G. Farnadi
Samira Samadi
199
4
0
30 Sep 2025
Correct-By-Construction: Certified Individual Fairness through Neural Network Training
Ruihan Zhang
Jun Sun
FaML
284
1
0
21 Aug 2025
Monitoring Robustness and Individual Fairness
Knowledge Discovery and Data Mining (KDD), 2025
Ashutosh Gupta
T. Henzinger
Konstantin Kueffner
Kaushik Mallik
David Pape
AAML
298
1
0
31 May 2025
Fair Representation Learning for Continuous Sensitive Attributes using Expectation of Integral Probability Metrics
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2025
Insung Kong
Kunwoong Kim
Yongdai Kim
FaML
443
6
0
09 May 2025
FairQuant: Certifying and Quantifying Fairness of Deep Neural Networks
International Conference on Software Engineering (ICSE), 2024
Brian Hyeongseok Kim
Jingbo Wang
Chao Wang
315
5
0
05 Sep 2024
Learning Interpretable Fair Representations
Tianhao Wang
Zana Buçinca
Zilin Ma
FaML
235
2
0
24 Jun 2024
On the Power of Randomization in Fair Classification and Representation
Sushant Agarwal
Amit Deshpande
FaML
297
5
0
05 Jun 2024
Learning from Uncertain Data: From Possible Worlds to Possible Models
Jiongli Zhu
Su Feng
Boris Glavic
Babak Salimi
358
3
0
28 May 2024
Solving Probabilistic Verification Problems of Neural Networks using Branch and Bound
David Boetius
Stefan Leue
Tobias Sutter
517
2
0
27 May 2024
Verified Neural Compressed Sensing
Rudy Bunel
Dj Dvijotham
M. P. Kumar
Alessandro De Palma
Robert Stanforth
MLT
397
2
0
07 May 2024
Individual Fairness Through Reweighting and Tuning
A. J. Mahamadou
Lea Goetz
Russ B. Altman
290
0
0
02 May 2024
FairRR: Pre-Processing for Group Fairness through Randomized Response
International Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Xianli Zeng
Joshua Ward
Guang Cheng
342
4
0
12 Mar 2024
Holding Secrets Accountable: Auditing Privacy-Preserving Machine Learning
Hidde Lycklama
Alexander Viand
Nicolas Küchler
Christian Knabenhans
Anwar Hithnawi
317
11
0
24 Feb 2024
FairProof : Confidential and Certifiable Fairness for Neural Networks
Chhavi Yadav
A. Chowdhury
Dan Boneh
Kamalika Chaudhuri
MLAU
383
20
0
19 Feb 2024
Endowing Pre-trained Graph Models with Provable Fairness
Zhongjian Zhang
Mengmei Zhang
Yue Yu
Cheng Yang
Jiawei Liu
Chuan Shi
187
13
0
19 Feb 2024
A Note on Bias to Complete
Jia Xu
Mona Diab
334
2
0
18 Feb 2024
KS-Lottery: Finding Certified Lottery Tickets for Multilingual Language Models
Fei Yuan
Chang Ma
Shuai Yuan
Qiushi Sun
Lei Li
343
3
0
05 Feb 2024
Certification of Distributional Individual Fairness
Neural Information Processing Systems (NeurIPS), 2023
Matthew Wicker
Vihari Piratla
Adrian Weller
176
1
0
20 Nov 2023
Verification of Neural Networks Local Differential Classification Privacy
International Conference on Verification, Model Checking and Abstract Interpretation (VMCAI), 2023
Roie Reshef
Anan Kabaha
Olga Seleznova
Dana Drachsler-Cohen
AAML
228
3
0
31 Oct 2023
Causal Fair Metric: Bridging Causality, Individual Fairness, and Adversarial Robustness
A. Ehyaei
G. Farnadi
Samira Samadi
405
4
0
30 Oct 2023
Learning Fair Representations with High-Confidence Guarantees
Yuhong Luo
Austin Hoag
Philip S Thomas
FaML
AI4TS
387
1
0
23 Oct 2023
Toward Operationalizing Pipeline-aware ML Fairness: A Research Agenda for Developing Practical Guidelines and Tools
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2023
Maximilian Schambach
Rakshit Naidu
Rayid Ghani
Kit T. Rodolfa
Daniel E. Ho
Hoda Heidari
FaML
316
24
0
29 Sep 2023
Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces
AAAI Conference on Artificial Intelligence (AAAI), 2023
A. Ehyaei
Kiarash Mohammadi
Amir-Hossein Karimi
Samira Samadi
G. Farnadi
AAML
259
5
0
17 Aug 2023
Is this model reliable for everyone? Testing for strong calibration
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jean Feng
Alexej Gossmann
Romain Pirracchio
N. Petrick
Gene Pennello
B. Sahiner
253
6
0
28 Jul 2023
Towards Better Fairness-Utility Trade-off: A Comprehensive Measurement-Based Reinforcement Learning Framework
Simiao Zhang
Jitao Bai
Menghong Guan
Yihao Huang
Yueling Zhang
Jun Sun
G. Pu
FaML
220
1
0
21 Jul 2023
Certifying the Fairness of KNN in the Presence of Dataset Bias
International Conference on Computer Aided Verification (CAV), 2023
Yann-Liang Li
Jingbo Wang
Chao Wang
FaML
255
7
0
17 Jul 2023
Precise and Generalized Robustness Certification for Neural Networks
USENIX Security Symposium (USENIX Security), 2023
Yuanyuan Yuan
Shuai Wang
Z. Su
AAML
221
5
0
11 Jun 2023
Bias Mitigation Methods for Binary Classification Decision-Making Systems: Survey and Recommendations
Madeleine Waller
Odinaldo Rodrigues
O. Cocarascu
FaML
AI4CE
247
2
0
31 May 2023
Counterpart Fairness -- Addressing Systematic between-group Differences in Fairness Evaluation
Yifei Wang
Zhengyang Zhou
Liqin Wang
John Laurentiev
Peter Hou
Li Zhou
Pengyu Hong
231
0
0
29 May 2023
FairDP: Certified Fairness with Differential Privacy
K. Tran
Ferdinando Fioretto
Issa M. Khalil
My T. Thai
Nhathai Phan
352
0
0
25 May 2023
Individual Fairness in Bayesian Neural Networks
Alice Doherty
Matthew Wicker
Luca Laurenti
A. Patané
357
5
0
21 Apr 2023
Human-Guided Fair Classification for Natural Language Processing
International Conference on Learning Representations (ICLR), 2022
Florian E.Dorner
Momchil Peychev
Nikola Konstantinov
Naman Goel
Elliott Ash
Martin Vechev
FaML
322
7
0
20 Dec 2022
Provable Fairness for Neural Network Models using Formal Verification
Giorgian Borca-Tasciuc
Xingzhi Guo
Stanley Bak
Steven Skiena
229
7
0
16 Dec 2022
Fairify: Fairness Verification of Neural Networks
International Conference on Software Engineering (ICSE), 2022
Sumon Biswas
Hridesh Rajan
279
39
0
08 Dec 2022
Learning Antidote Data to Individual Unfairness
International Conference on Machine Learning (ICML), 2022
Peizhao Li
Ethan Xia
Hongfu Liu
FedML
FaML
415
11
0
29 Nov 2022
Private and Reliable Neural Network Inference
Conference on Computer and Communications Security (CCS), 2022
Nikola Jovanović
Marc Fischer
Samuel Steffen
Martin Vechev
298
22
0
27 Oct 2022
Abstract Interpretation-Based Feature Importance for SVMs
Abhinanda Pal
Francesco Ranzato
Caterina Urban
Marco Zanella
FAtt
240
0
0
22 Oct 2022
FARE: Provably Fair Representation Learning with Practical Certificates
International Conference on Machine Learning (ICML), 2022
Nikola Jovanović
Mislav Balunović
Dimitar I. Dimitrov
Martin Vechev
393
20
0
13 Oct 2022
fAux: Testing Individual Fairness via Gradient Alignment
Giuseppe Castiglione
Ga Wu
C. Srinivasa
Simon J. D. Prince
167
4
0
10 Oct 2022
Explainable Global Fairness Verification of Tree-Based Classifiers
Stefano Calzavara
Lorenzo Cazzaro
Claudio Lucchese
Federico Marcuzzi
231
4
0
27 Sep 2022
Adaptive Fairness Improvement Based on Causality Analysis
Mengdi Zhang
Jun Sun
191
44
0
15 Sep 2022
Fair mapping
Sébastien Gambs
Rosin Claude Ngueveu
295
0
0
01 Sep 2022
TESTSGD: Interpretable Testing of Neural Networks Against Subtle Group Discrimination
ACM Transactions on Software Engineering and Methodology (TOSEM), 2022
Mengdi Zhang
Jun Sun
Jingyi Wang
Bing-Jie Sun
196
18
0
24 Aug 2022
Bias Mitigation for Machine Learning Classifiers: A Comprehensive Survey
ACM Journal on Responsible Computing (JRC), 2022
Max Hort
Zhenpeng Chen
Jie M. Zhang
Mark Harman
Federica Sarro
FaML
AI4CE
418
256
0
14 Jul 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective
ACM Computing Surveys (ACM CSUR), 2022
Zeyu Tang
Jiji Zhang
Kun Zhang
FaML
496
39
0
08 Jun 2022
FETA: Fairness Enforced Verifying, Training, and Predicting Algorithms for Neural Networks
Conference on Equity and Access in Algorithms, Mechanisms, and Optimization (EAAMO), 2022
Kiarash Mohammadi
Aishwarya Sivaraman
G. Farnadi
303
9
0
01 Jun 2022
Certifying Some Distributional Fairness with Subpopulation Decomposition
Neural Information Processing Systems (NeurIPS), 2022
Mintong Kang
Linyi Li
Maurice Weber
Yang Liu
Ce Zhang
Yue Liu
OOD
298
17
0
31 May 2022
CertiFair: A Framework for Certified Global Fairness of Neural Networks
AAAI Conference on Artificial Intelligence (AAAI), 2022
Haitham Khedr
Yasser Shoukry
FedML
205
26
0
20 May 2022
Fair Bayes-Optimal Classifiers Under Predictive Parity
Neural Information Processing Systems (NeurIPS), 2022
Xianli Zeng
Guang Cheng
Guang Cheng
FaML
336
18
0
15 May 2022
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