On Strengthening and Defending Graph Reconstruction Attack with Markov
Chain Approximation

On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation

15 June 2023

Jiangchao Yao

Bo Han

Papers citing "On Strengthening and Defending Graph Reconstruction Attack with Markov Chain Approximation"

9 / 9 papers shown

Title
Rethinking the impact of noisy labels in graph classification: A utility and privacy perspective De Li Xianxian Li Zeming Gan Qiyu Li Bin Qu Jinyan Wang NoLa 38 1 0 11 Jun 2024
FedImpro: Measuring and Improving Client Update in Federated Learning Zhenheng Tang Yonggang Zhang S. Shi Xinmei Tian Tongliang Liu Bo Han Xiaowen Chu FedML 13 13 0 10 Feb 2024
Combating Exacerbated Heterogeneity for Robust Models in Federated Learning Jianing Zhu Jiangchao Yao Tongliang Liu Quanming Yao Jianliang Xu Bo Han FedML 25 5 0 01 Mar 2023
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers Ruisi Zhang Seira Hidano F. Koushanfar SILM 65 26 0 21 Sep 2022
Plug & Play Attacks: Towards Robust and Flexible Model Inversion Attacks Lukas Struppek Dominik Hintersdorf Antonio De Almeida Correia Antonia Adler Kristian Kersting MIACV 45 62 0 28 Jan 2022
DeepWalking Backwards: From Embeddings Back to Graphs Sudhanshu Chanpuriya Cameron Musco Konstantinos Sotiropoulos Charalampos E. Tsourakakis GNN 24 13 0 17 Feb 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 267 1,798 0 14 Dec 2020
Graph Information Bottleneck Tailin Wu Hongyu Ren Pan Li J. Leskovec AAML 88 224 0 24 Oct 2020
Stealing Links from Graph Neural Networks Xinlei He Jinyuan Jia Michael Backes Neil Zhenqiang Gong Yang Zhang AAML 53 167 0 05 May 2020