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Investigating Trade-offs in Utility, Fairness and Differential Privacy
  in Neural Networks

Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks

11 February 2021
Marlotte Pannekoek
G. Spigler
    FedML
ArXivPDFHTML

Papers citing "Investigating Trade-offs in Utility, Fairness and Differential Privacy in Neural Networks"

14 / 14 papers shown
Title
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models
Engineering the Law-Machine Learning Translation Problem: Developing Legally Aligned Models
Mathias Hanson
Gregory Lewkowicz
Sam Verboven
AILaw
ELM
69
1
0
23 Apr 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
43
0
0
10 Mar 2025
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues
Zibo Wang
Haichao Ji
Yifei Zhu
Dan Wang
Zhu Han
43
1
0
19 Apr 2024
Automated discovery of trade-off between utility, privacy and fairness
  in machine learning models
Automated discovery of trade-off between utility, privacy and fairness in machine learning models
Bogdan Ficiu
Neil D. Lawrence
Andrei Paleyes
19
1
0
27 Nov 2023
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
On the Fairness ROAD: Robust Optimization for Adversarial Debiasing
Vincent Grari
Thibault Laugel
Tatsunori Hashimoto
Sylvain Lamprier
Marcin Detyniecki
33
2
0
27 Oct 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models:
  A Survey
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
Victoria Smith
Ali Shahin Shamsabadi
Carolyn Ashurst
Adrian Weller
PILM
27
24
0
27 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and
  Applications
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu-Chiang Frank Wang
Olivera Kotevska
Philip S. Yu
Tyler Derr
18
10
0
31 Aug 2023
Differential Privacy, Linguistic Fairness, and Training Data Influence:
  Impossibility and Possibility Theorems for Multilingual Language Models
Differential Privacy, Linguistic Fairness, and Training Data Influence: Impossibility and Possibility Theorems for Multilingual Language Models
Phillip Rust
Anders Søgaard
22
3
0
17 Aug 2023
FairDP: Certified Fairness with Differential Privacy
FairDP: Certified Fairness with Differential Privacy
K. Tran
Ferdinando Fioretto
Issa M. Khalil
My T. Thai
Nhathai Phan
22
0
0
25 May 2023
Differentially Private Counterfactuals via Functional Mechanism
Differentially Private Counterfactuals via Functional Mechanism
Fan Yang
Qizhang Feng
Kaixiong Zhou
Jiahao Chen
Xia Hu
13
8
0
04 Aug 2022
Hierarchical Federated Learning with Privacy
Hierarchical Federated Learning with Privacy
Varun Chandrasekaran
Suman Banerjee
Diego Perino
N. Kourtellis
FedML
23
7
0
10 Jun 2022
Fairness in Graph Mining: A Survey
Fairness in Graph Mining: A Survey
Yushun Dong
Jing Ma
Song Wang
Chen Chen
Jundong Li
FaML
29
111
0
21 Apr 2022
The Impact of Differential Privacy on Group Disparity Mitigation
The Impact of Differential Privacy on Group Disparity Mitigation
Victor Petrén Bach Hansen
A. Neerkaje
Ramit Sawhney
Lucie Flek
Anders Søgaard
32
9
0
05 Mar 2022
Cooperative Multi-Agent Fairness and Equivariant Policies
Cooperative Multi-Agent Fairness and Equivariant Policies
Niko A. Grupen
B. Selman
Daniel D. Lee
FaML
11
11
0
10 Jun 2021
1