Towards Plausible Graph Anonymization

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Towards Plausible Graph Anonymization

15 November 2017

Mathias Humbert

Bartlomiej Surma

Praveen Manoharan

Michael Backes

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Papers citing "Towards Plausible Graph Anonymization"

6 / 6 papers shown

Title
PrivGraph: Differentially Private Graph Data Publication by Exploiting Community InformationUSENIX Security Symposium (USENIX Security), 2023 Quan Yuan Zhikun Zhang L. Du Min Chen Jun Zhou Mingyang Sun 254 32 0 05 Apr 2023
Inference Attacks Against Graph Neural Networks Zhikun Zhang Min Chen Michael Backes Yun Shen Yang Zhang MIACV AAML GNN 164 50 0 06 Oct 2021
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning Yang Zou Zhikun Zhang Michael Backes Yang Zhang MIACV 94 33 0 10 Sep 2020
When Machine Unlearning Jeopardizes PrivacyConference on Computer and Communications Security (CCS), 2020 Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 236 281 0 05 May 2020
Publishing Community-Preserving Attributed Social Graphs with a Differential Privacy GuaranteeProceedings on Privacy Enhancing Technologies (PoPETs), 2019 Xihui Chen S. Mauw Y. Ramírez-Cruz 111 30 0 31 Aug 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning A. Salem Apratim Bhattacharyya Michael Backes Mario Fritz Yang Zhang FedML AAML MIACV 268 278 0 01 Apr 2019