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2203.00949
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GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation
USENIX Security Symposium (USENIX Security), 2022
2 March 2022
Sina Sajadmanesh
Ali Shahin Shamsabadi
A. Bellet
D. Gática-Pérez
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Papers citing
"GAP: Differentially Private Graph Neural Networks with Aggregation Perturbation"
39 / 39 papers shown
TraceLLM: Security Diagnosis Through Traces and Smart Contracts in Ethereum
Shuzheng Wang
Yue Huang
Zhuoer Xu
Yuming Huang
Jing Tang
147
1
0
03 Sep 2025
Local Distance Query with Differential Privacy
Weihong Sheng
Jiajun Chen
Bin Cai
Chunqiang Hu
Meng Han
Jiguo Yu
145
0
0
07 Aug 2025
Learning-based Privacy-Preserving Graph Publishing Against Sensitive Link Inference Attacks
IEEE Transactions on Information Forensics and Security (TIFS), 2025
Yucheng Wu
Yuncong Yang
Xiao Han
Leye Wang
Junjie Wu
244
1
0
23 Jul 2025
AdvSGM: Differentially Private Graph Learning via Adversarial Skip-gram Model
IEEE International Conference on Data Engineering (ICDE), 2025
Sen Zhang
Qingqing Ye
Haibo Hu
Jianliang Xu
290
1
0
27 Mar 2025
DP-GPL: Differentially Private Graph Prompt Learning
Jing Xu
Franziska Boenisch
Iyiola Emmanuel Olatunji
Adam Dziedzic
AAML
354
0
0
13 Mar 2025
Recent Advances in Malware Detection: Graph Learning and Explainability
Hossein Shokouhinejad
Roozbeh Razavi-Far
Hesamodin Mohammadian
Mahdi Rabbani
Samuel Ansong
Griffin Higgins
Ali Ghorbani
AAML
703
18
0
14 Feb 2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models
IEEE Symposium on Security and Privacy (S&P), 2025
Jiadong Lou
Xu Yuan
Rui Zhang
Xingliang Yuan
Neil Gong
N. Tzeng
AAML
391
6
0
19 Jan 2025
Structure-Preference Enabled Graph Embedding Generation under Differential Privacy
IEEE International Conference on Data Engineering (ICDE), 2025
Sen Zhang
Qingqing Ye
Haibo Hu
259
1
0
08 Jan 2025
PrivDPR: Synthetic Graph Publishing with Deep PageRank under Differential Privacy
Knowledge Discovery and Data Mining (KDD), 2025
Sen Zhang
Haibo Hu
Qingqing Ye
Jianliang Xu
154
4
0
04 Jan 2025
DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
Jinyin Chen
Haonan Ma
Haibin Zheng
DiffM
AAML
217
0
0
05 Nov 2024
Masked Differential Privacy
David Schneider
Sina Sajadmanesh
Vikash Sehwag
Saquib Sarfraz
Rainer Stiefelhagen
Lingjuan Lyu
Vivek Sharma
260
0
0
22 Oct 2024
Privately Learning from Graphs with Applications in Fine-tuning Large Language Models
Haoteng Yin
Rongzhe Wei
Eli Chien
P. Li
511
1
0
10 Oct 2024
Scalable and Certifiable Graph Unlearning: Overcoming the Approximation Error Barrier
International Conference on Learning Representations (ICLR), 2024
Lu Yi
Zhewei Wei
MU
684
0
0
17 Aug 2024
Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
Hanyang Yuan
Jiarong Xu
Cong Wang
Ziqi Yang
Chunping Wang
Keting Yin
Yang Yang
330
9
0
26 Jul 2024
GCON: Differentially Private Graph Convolutional Network via Objective Perturbation
Jianxin Wei
Yizheng Zhu
Xiaokui Xiao
Ergute Bao
Yin Yang
Kuntai Cai
Beng Chin Ooi
AAML
348
0
0
06 Jul 2024
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
Rongzhe Wei
Eli Chien
P. Li
880
6
0
22 Jun 2024
Safety in Graph Machine Learning: Threats and Safeguards
Song Wang
Yushun Dong
Binchi Zhang
Zihan Chen
Xingbo Fu
Yinhan He
Cong Shen
Chuxu Zhang
Nitesh Chawla
Wenlin Yao
409
11
0
17 May 2024
On provable privacy vulnerabilities of graph representations
Ruofan Wu
Guanhua Fang
Qiying Pan
Mingyang Zhang
Tengfei Liu
Weiqiang Wang
AAML
233
3
0
06 Feb 2024
Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding
Yuecen Wei
Haonan Yuan
Xingcheng Fu
Qingyun Sun
Hao Peng
Xianxian Li
Chunming Hu
259
12
0
19 Dec 2023
All Rivers Run to the Sea: Private Learning with Asymmetric Flows
Computer Vision and Pattern Recognition (CVPR), 2023
Yue Niu
Ramy E. Ali
Saurav Prakash
Salman Avestimehr
FedML
452
3
0
05 Dec 2023
Preserving Node-level Privacy in Graph Neural Networks
IEEE Symposium on Security and Privacy (S&P), 2023
Zihang Xiang
Tianhao Wang
Di Wang
387
26
0
12 Nov 2023
GNNBleed: Inference Attacks to Unveil Private Edges in Graphs with Realistic Access to GNN Models
Proceedings on Privacy Enhancing Technologies (PoPETs), 2023
Zeyu Song
Ehsanul Kabir
Shagufta Mehnaz
331
1
0
03 Nov 2023
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Wentao Hu
Hui Fang
350
12
0
17 Sep 2023
Blink: Link Local Differential Privacy in Graph Neural Networks via Bayesian Estimation
Conference on Computer and Communications Security (CCS), 2023
Xiaochen Zhu
Vincent Y. F. Tan
Xiaokui Xiao
344
20
0
06 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Yi Zhang
Yuying Zhao
Zhaoqing Li
Xueqi Cheng
Yu Wang
Olivera Kotevska
Philip S. Yu
Hanyu Wang
450
40
0
31 Aug 2023
A Survey of Graph Unlearning
Anwar Said
Hanyu Wang
Yuying Zhao
Tyler Derr
Mudassir Shabbir
W. Abbas
X. Koutsoukos
MU
635
11
0
23 Aug 2023
Differentially Private Graph Neural Network with Importance-Grained Noise Adaption
Yuxin Qi
Xi Lin
Jun Wu
253
0
0
09 Aug 2023
Node Injection Link Stealing Attack
Privacy in Statistical Databases (PSD), 2023
Oualid Zari
Javier Parra-Arnau
Ayşe Ünsal
Melek Önen
225
4
0
25 Jul 2023
Privacy-Utility Trade-offs in Neural Networks for Medical Population Graphs: Insights from Differential Privacy and Graph Structure
Tamara T. Mueller
Maulik Chevli
Ameya Daigavane
Daniel Rueckert
Georgios Kaissis
148
0
0
13 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection
Neural Information Processing Systems (NeurIPS), 2023
Eli Chien
Wei-Ning Chen
Chao Pan
Pan Li
Ayfer Özgür
O. Milenkovic
451
24
0
12 Jul 2023
ProGAP: Progressive Graph Neural Networks with Differential Privacy Guarantees
Web Search and Data Mining (WSDM), 2023
Sina Sajadmanesh
D. Gática-Pérez
457
26
0
18 Apr 2023
Training Differentially Private Graph Neural Networks with Random Walk Sampling
Morgane Ayle
Jan Schuchardt
Lukas Gosch
Daniel Zügner
Stephan Günnemann
FedML
262
7
0
02 Jan 2023
Unlearning Graph Classifiers with Limited Data Resources
The Web Conference (WWW), 2022
Chao Pan
Eli Chien
O. Milenkovic
MU
312
43
0
06 Nov 2022
DPAR: Decoupled Graph Neural Networks with Node-Level Differential Privacy
The Web Conference (WWW), 2022
Qiuchen Zhang
Hong kyu Lee
Jing Ma
Jian Lou
Carl Yang
Li Xiong
286
27
0
10 Oct 2022
Privacy and Transparency in Graph Machine Learning: A Unified Perspective
Megha Khosla
352
5
0
22 Jul 2022
Certified Graph Unlearning
Eli Chien
Chao Pan
O. Milenkovic
MU
421
56
0
18 Jun 2022
Differentially Private Triangle and 4-Cycle Counting in the Shuffle Model
Conference on Computer and Communications Security (CCS), 2022
Jacob Imola
Takao Murakami
Kamalika Chaudhuri
233
43
0
03 May 2022
Degree-Preserving Randomized Response for Graph Neural Networks under Local Differential Privacy
Transactions on Data Privacy (TDP), 2022
Seira Hidano
Takao Murakami
492
15
0
21 Feb 2022
Releasing Graph Neural Networks with Differential Privacy Guarantees
Iyiola E. Olatunji
Thorben Funke
Megha Khosla
323
61
0
18 Sep 2021
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