ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.04113
  4. Cited By
Data Minimization for GDPR Compliance in Machine Learning Models

Data Minimization for GDPR Compliance in Machine Learning Models

6 August 2020
Abigail Goldsteen
Gilad Ezov
Ron Shmelkin
Micha Moffie
Ariel Farkash
ArXiv (abs)PDFHTML

Papers citing "Data Minimization for GDPR Compliance in Machine Learning Models"

17 / 17 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
AILawELM
141
1
0
23 Apr 2025
The trade-off between data minimization and fairness in collaborative
  filtering
The trade-off between data minimization and fairness in collaborative filtering
Nasim Sonboli
Sipei Li
Mehdi Elahi
Asia Biega
FaML
22
0
0
21 Sep 2024
The Data Minimization Principle in Machine Learning
The Data Minimization Principle in Machine Learning
Prakhar Ganesh
Cuong Tran
Reza Shokri
Ferdinando Fioretto
66
5
0
29 May 2024
From Principle to Practice: Vertical Data Minimization for Machine
  Learning
From Principle to Practice: Vertical Data Minimization for Machine Learning
Robin Staab
Nikola Jovanović
Mislav Balunović
Martin Vechev
76
7
0
17 Nov 2023
On Responsible Machine Learning Datasets with Fairness, Privacy, and
  Regulatory Norms
On Responsible Machine Learning Datasets with Fairness, Privacy, and Regulatory Norms
S. Mittal
K. Thakral
Richa Singh
Mayank Vatsa
Tamar Glaser
Cristian Canton Ferrer
Tal Hassner
FaML
62
3
0
24 Oct 2023
In-Context Unlearning: Language Models as Few Shot Unlearners
In-Context Unlearning: Language Models as Few Shot Unlearners
Martin Pawelczyk
Seth Neel
Himabindu Lakkaraju
MU
118
132
0
11 Oct 2023
Towards Sybil Resilience in Decentralized Learning
Towards Sybil Resilience in Decentralized Learning
Thomas Werthenbach
J. Pouwelse
AAML
47
2
0
26 Jun 2023
Vehicle Detection and Classification without Residual Calculation:
  Accelerating HEVC Image Decoding with Random Perturbation Injection
Vehicle Detection and Classification without Residual Calculation: Accelerating HEVC Image Decoding with Random Perturbation Injection
M. S. Beratoğlu
B. U. Toreyin
25
2
0
14 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey
  and Taxonomy
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy
T. Shaik
Xiaohui Tao
Haoran Xie
Lin Li
Xiaofeng Zhu
Qingyuan Li
MU
97
30
0
10 May 2023
MLOps Spanning Whole Machine Learning Life Cycle: A Survey
MLOps Spanning Whole Machine Learning Life Cycle: A Survey
Fang Zhengxin
Yuan Yi
Zhang Jingyu
Liu Yue
Mu Yuechen
...
Xu Xiwei
Wang Jeff
Wang Chen
Zhang Shuai
Chen Shiping
49
4
0
13 Apr 2023
Scamming the Scammers: Using ChatGPT to Reply Mails for Wasting Time and
  Resources
Scamming the Scammers: Using ChatGPT to Reply Mails for Wasting Time and Resources
E. Cambiaso
L. Caviglione
39
24
0
10 Feb 2023
Federated Learning for 5G Base Station Traffic Forecasting
Federated Learning for 5G Base Station Traffic Forecasting
V. Perifanis
Nikolaos Pavlidis
R. Koutsiamanis
P. Efraimidis
AI4TS
84
45
0
28 Nov 2022
I Prefer not to Say: Protecting User Consent in Models with Optional
  Personal Data
I Prefer not to Say: Protecting User Consent in Models with Optional Personal Data
Tobias Leemann
Martin Pawelczyk
Christian Thomas Eberle
Gjergji Kasneci
49
1
0
25 Oct 2022
Anonymous Bandits for Multi-User Systems
Anonymous Bandits for Multi-User Systems
Hossein Esfandiari
Vahab Mirrokni
Jon Schneider
PICV
51
1
0
21 Oct 2022
MaSS: Multi-attribute Selective Suppression
MaSS: Multi-attribute Selective Suppression
Chun-Fu Chen
Shaohan Hu
Zhong-Zhi Shi
Prateek Gulati
Bill Moriarty
Marco Pistoia
Vincenzo Piuri
P. Samarati
CVBM
50
4
0
18 Oct 2022
On the Trade-Off between Actionable Explanations and the Right to be
  Forgotten
On the Trade-Off between Actionable Explanations and the Right to be Forgotten
Martin Pawelczyk
Tobias Leemann
Asia J. Biega
Gjergji Kasneci
FaMLMU
106
23
0
30 Aug 2022
Learning to Limit Data Collection via Scaling Laws: A Computational
  Interpretation for the Legal Principle of Data Minimization
Learning to Limit Data Collection via Scaling Laws: A Computational Interpretation for the Legal Principle of Data Minimization
Divya Shanmugam
Samira Shabanian
Fernando Diaz
Michèle Finck
Joanna Biega
67
22
0
16 Jul 2021
1