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2105.07513
Cited By
Decision Making with Differential Privacy under a Fairness Lens
International Joint Conference on Artificial Intelligence (IJCAI), 2021
16 May 2021
Ferdinando Fioretto
Cuong Tran
Pascal Van Hentenryck
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Papers citing
"Decision Making with Differential Privacy under a Fairness Lens"
27 / 27 papers shown
Differential privacy for medical deep learning: methods, tradeoffs, and deployment implications
Marziyeh Mohammadi
Mohsen Vejdanihemmat
Mahshad Lotfinia
M. Rusu
Daniel Truhn
Andreas K. Maier
Soroosh Tayebi Arasteh
373
1
0
31 May 2025
Fairness Issues and Mitigations in (Differentially Private) Socio-Demographic Data Processes
AAAI Conference on Artificial Intelligence (AAAI), 2024
Joonhyuk Ko
Juba Ziani
Saswat Das
Matt Williams
Ferdinando Fioretto
200
4
0
16 Aug 2024
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
Ferdinando Fioretto
Diptangshu Sen
Juba Ziani
223
1
0
08 Aug 2024
Privacy at a Price: Exploring its Dual Impact on AI Fairness
Mengmeng Yang
Ming Ding
Youyang Qu
Wei Ni
David B. Smith
Thierry Rakotoarivelo
152
2
0
15 Apr 2024
On The Fairness Impacts of Hardware Selection in Machine Learning
Sree Harsha Nelaturu
Nishaanth Kanna Ravichandran
Cuong Tran
Sara Hooker
Ferdinando Fioretto
363
5
0
06 Dec 2023
Bounded and Unbiased Composite Differential Privacy
IEEE Symposium on Security and Privacy (S&P), 2023
Kai Zhang
Yanjun Zhang
Ruoxi Sun
Pei-Wei Tsai
M. Hassan
Xingliang Yuan
Minhui Xue
Jinjun Chen
276
49
0
04 Nov 2023
Price-Aware Deep Learning for Electricity Markets
V. Dvorkin
Ferdinando Fioretto
214
4
0
02 Aug 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off
ACM Computing Surveys (ACM Comput. Surv.), 2023
Huiqiang Chen
Tianqing Zhu
Tao Zhang
Wanlei Zhou
Philip S. Yu
FedML
338
84
0
25 Jun 2023
Preserving privacy in domain transfer of medical AI models comes at no performance costs: The integral role of differential privacy
Soroosh Tayebi Arasteh
Mahshad Lotfinia
T. Nolte
Marwin Saehn
P. Isfort
Christiane Kuhl
S. Nebelung
Georgios Kaissis
Daniel Truhn
MedIm
285
13
0
10 Jun 2023
FairDP: Certified Fairness with Differential Privacy
K. Tran
Ferdinando Fioretto
Issa M. Khalil
My T. Thai
Nhathai Phan
362
0
0
25 May 2023
On the Fairness Impacts of Private Ensembles Models
International Joint Conference on Artificial Intelligence (IJCAI), 2023
Cuong Tran
Ferdinando Fioretto
248
7
0
19 May 2023
Private, fair and accurate: Training large-scale, privacy-preserving AI models in medical imaging
Communications Medicine (Commun Med), 2023
Soroosh Tayebi Arasteh
Alexander Ziller
Christiane Kuhl
Marcus R. Makowski
S. Nebelung
R. Braren
Daniel Rueckert
Daniel Truhn
Georgios Kaissis
MedIm
627
42
0
03 Feb 2023
Privacy and Bias Analysis of Disclosure Avoidance Systems
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
S. Das
Christine Task
216
3
0
28 Jan 2023
Stochastic Differentially Private and Fair Learning
International Conference on Learning Representations (ICLR), 2022
Andrew Lowy
Devansh Gupta
Meisam Razaviyayn
FaML
FedML
391
19
0
17 Oct 2022
Doubly Fair Dynamic Pricing
International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
Jianyu Xu
Dan Qiao
Yu Wang
319
11
0
23 Sep 2022
Pruning has a disparate impact on model accuracy
Neural Information Processing Systems (NeurIPS), 2022
Cuong Tran
Ferdinando Fioretto
Jung-Eun Kim
Rakshit Naidu
309
49
0
26 May 2022
SF-PATE: Scalable, Fair, and Private Aggregation of Teacher Ensembles
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Cuong Tran
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
224
12
0
11 Apr 2022
Exploring the Unfairness of DP-SGD Across Settings
Frederik Noe
R. Herskind
Anders Søgaard
218
5
0
24 Feb 2022
Differential Privacy and Fairness in Decisions and Learning Tasks: A Survey
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Ferdinando Fioretto
Cuong Tran
Pascal Van Hentenryck
Keyu Zhu
FaML
290
72
0
16 Feb 2022
Post-processing of Differentially Private Data: A Fairness Perspective
International Joint Conference on Artificial Intelligence (IJCAI), 2022
Keyu Zhu
Ferdinando Fioretto
Pascal Van Hentenryck
127
14
0
24 Jan 2022
DP-SGD vs PATE: Which Has Less Disparate Impact on GANs?
Georgi Ganev
217
6
0
26 Nov 2021
Node-Level Differentially Private Graph Neural Networks
Ameya Daigavane
Gagan Madan
Aditya Sinha
Abhradeep Thakurta
Gaurav Aggarwal
Prateek Jain
507
72
0
23 Nov 2021
Equity and Privacy: More Than Just a Tradeoff
David Pujol
Ashwin Machanavajjhala
209
16
0
08 Nov 2021
Private sampling: a noiseless approach for generating differentially private synthetic data
M. Boedihardjo
Thomas Strohmer
Roman Vershynin
SyDa
312
15
0
30 Sep 2021
Partial sensitivity analysis in differential privacy
Tamara T. Mueller
Alexander Ziller
Dmitrii Usynin
Moritz Knolle
F. Jungmann
Daniel Rueckert
Georgios Kaissis
378
1
0
22 Sep 2021
A Fairness Analysis on Private Aggregation of Teacher Ensembles
Cuong Tran
M. H. Dinh
Kyle Beiter
Ferdinando Fioretto
289
14
0
17 Sep 2021
Iterative Methods for Private Synthetic Data: Unifying Framework and New Methods
Neural Information Processing Systems (NeurIPS), 2021
Terrance Liu
G. Vietri
Zhiwei Steven Wu
SyDa
293
76
0
14 Jun 2021
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