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2110.01643
Cited By
Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning
4 October 2021
Priya Basu
Tiasa Singha Roy
Rakshit Naidu
Zumrut Muftuoglu
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Papers citing
"Privacy enabled Financial Text Classification using Differential Privacy and Federated Learning"
15 / 15 papers shown
Optimizing Privacy-Preserving Primitives to Support LLM-Scale Applications
Yaman Jandali
Ruisi Zhang
Nojan Sheybani
F. Koushanfar
161
0
0
29 Sep 2025
A Survey on Current Trends and Recent Advances in Text Anonymization
Tobias Deuβer
Lorenz Sparrenberg
Armin Berger
Max Hahnbück
Christian Bauckhage
R. Sifa
110
0
0
29 Aug 2025
DP-DocLDM: Differentially Private Document Image Generation using Latent Diffusion Models
IEEE International Conference on Document Analysis and Recognition (ICDAR), 2025
S. Saifullah
S. Agne
Andreas Dengel
Sheraz Ahmed
SyDa
163
0
0
06 Aug 2025
Differentially Private Iterative Screening Rules for Linear Regression
Conference on Data and Application Security and Privacy (CODASPY), 2024
Amol Khanna
Fred Lu
Edward Raff
210
2
0
25 Feb 2025
Enhancing Privacy in the Early Detection of Sexual Predators Through Federated Learning and Differential Privacy
AAAI Conference on Artificial Intelligence (AAAI), 2025
Khaoula Chehbouni
Martine De Cock
Gilles Caporossi
Afaf Taik
Reihaneh Rabbany
G. Farnadi
402
4
0
21 Jan 2025
The Transition from Centralized Machine Learning to Federated Learning for Mental Health in Education: A Survey of Current Methods and Future Directions
Maryam Ebrahimi
Rajeev Sahay
Seyyedali Hosseinalipour
Bita Akram
312
4
0
20 Jan 2025
FLMarket: Enabling Privacy-preserved Pre-training Data Pricing for Federated Learning
Knowledge Discovery and Data Mining (KDD), 2024
Z. Wen
Wanglei Feng
Di Wu
Haozhen Hu
Chang Xu
Bin Qian
Zhen Hong
Cong Wang
S. Ji
FedML
402
2
0
18 Nov 2024
Trustworthy Federated Learning: Privacy, Security, and Beyond
Knowledge and Information Systems (KAIS), 2024
Chunlu Chen
Ji Liu
Haowen Tan
Xingjian Li
Kevin I-Kai Wang
Peng Li
Kouichi Sakurai
Dejing Dou
FedML
294
48
0
03 Nov 2024
FLAIN: Mitigating Backdoor Attacks in Federated Learning via Flipping Weight Updates of Low-Activation Input Neurons
International Conference on Multimedia Retrieval (ICMR), 2024
Binbin Ding
Penghui Yang
Zeqing Ge
AAML
FedML
267
0
0
16 Aug 2024
DP-NMT: Scalable Differentially-Private Machine Translation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2023
Timour Igamberdiev
Doan Nam Long Vu
Felix Künnecke
Zhuo Yu
Jannik Holmer
Ivan Habernal
248
8
0
24 Nov 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction
S. Saifullah
S. Agne
Andreas Dengel
Sheraz Ahmed
184
1
0
05 Oct 2023
Towards Building the Federated GPT: Federated Instruction Tuning
IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2023
Jianyi Zhang
Saeed Vahidian
Martin Kuo
Chunyuan Li
Ruiyi Zhang
Tong Yu
Jiuxiang Gu
Guoyin Wang
Yiran Chen
ALM
FedML
324
187
0
09 May 2023
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods
Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhuo Zhang
Yuanhang Yang
Yong Dai
Zhuang Li
Zenglin Xu
FedML
441
114
0
20 Dec 2022
Differential Privacy in Natural Language Processing: The Story So Far
Oleksandra Klymenko
Stephen Meisenbacher
Florian Matthes
141
25
0
17 Aug 2022
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption
Findings (Findings), 2022
Tianyu Chen
Hangbo Bao
Shaohan Huang
Li Dong
Binxing Jiao
Daxin Jiang
Haoyi Zhou
Jianxin Li
Furu Wei
345
138
0
01 Jun 2022
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