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PPA: Preference Profiling Attack Against Federated Learning
v1v2 (latest)

PPA: Preference Profiling Attack Against Federated Learning

Network and Distributed System Security Symposium (NDSS), 2022
10 February 2022
Chunyi Zhou
Yansong Gao
Anmin Fu
Kai Chen
Zhiyang Dai
Zhi-Li Zhang
Minhui Xue
Yuqing Zhang
    AAML
ArXiv (abs)PDFHTML

Papers citing "PPA: Preference Profiling Attack Against Federated Learning"

7 / 7 papers shown
Title
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
Tong Cheng
Fu Jie
Xinpeng Ling
Huifa Li
Zhili Chen
Haifeng Qian
Junqing Gong
AAMLFedML
299
0
0
21 May 2025
Contribution Evaluation of Heterogeneous Participants in Federated
  Learning via Prototypical Representations
Contribution Evaluation of Heterogeneous Participants in Federated Learning via Prototypical Representations
Qi Guo
Minghao Yao
Zhen Tian
Saiyu Qi
Yong Qi
Yun Lin
Jin Song Dong
157
5
0
02 Jul 2024
Decaf: Data Distribution Decompose Attack against Federated Learning
Decaf: Data Distribution Decompose Attack against Federated Learning
Zhiyang Dai
Chunyi Zhou
Anmin Fu
170
4
0
24 May 2024
Source Inference Attacks: Beyond Membership Inference Attacks in
  Federated Learning
Source Inference Attacks: Beyond Membership Inference Attacks in Federated LearningIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2023
Hongsheng Hu
Xuyun Zhang
Z. Salcic
Lichao Sun
K. Choo
Gillian Dobbie
138
25
0
30 Sep 2023
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Vertical Federated Learning: Taxonomies, Threats, and Prospects
Qun Li
Chandra Thapa
Lawrence Ong
Yifeng Zheng
Hua Ma
S. Çamtepe
Anmin Fu
Yan Gao
FedML
221
14
0
03 Feb 2023
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving
  Quantized Federated Learning
MUD-PQFed: Towards Malicious User Detection in Privacy-Preserving Quantized Federated Learning
Hua Ma
Qun Li
Yifeng Zheng
Zhi Zhang
Xiaoning Liu
Yan Gao
S. Al-Sarawi
Derek Abbott
FedML
185
3
0
19 Jul 2022
Binarizing Split Learning for Data Privacy Enhancement and Computation
  Reduction
Binarizing Split Learning for Data Privacy Enhancement and Computation ReductionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022
Ngoc Duy Pham
A. Abuadbba
Yansong Gao
K. Phan
Naveen Chilamkurti
141
50
0
10 Jun 2022
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