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walk2friends: Inferring Social Links from Mobility Profiles

walk2friends: Inferring Social Links from Mobility Profiles

28 August 2017
Michael Backes
Mathias Humbert
Jun Pang
Yang Zhang
    AAML
ArXivPDFHTML

Papers citing "walk2friends: Inferring Social Links from Mobility Profiles"

15 / 15 papers shown
Title
Link Stealing Attacks Against Inductive Graph Neural Networks
Link Stealing Attacks Against Inductive Graph Neural Networks
Yixin Wu
Xinlei He
Pascal Berrang
Mathias Humbert
Michael Backes
Neil Zhenqiang Gong
Yang Zhang
47
2
0
09 May 2024
Practical Privacy Preservation in a Mobile Cloud Environment
Practical Privacy Preservation in a Mobile Cloud Environment
Dimitrios Tomaras
Michail Tsenos
V. Kalogeraki
19
4
0
09 Feb 2023
Inference Attacks Against Graph Neural Networks
Inference Attacks Against Graph Neural Networks
Zhikun Zhang
Min Chen
Michael Backes
Yun Shen
Yang Zhang
MIACV
AAML
GNN
33
50
0
06 Oct 2021
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility
  Prediction
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction
Hao Xue
Flora D. Salim
Yongli Ren
Nuria Oliver
25
67
0
30 Sep 2021
Membership Inference Attacks Against Recommender Systems
Membership Inference Attacks Against Recommender Systems
Minxing Zhang
Z. Ren
Zihan Wang
Pengjie Ren
Zhumin Chen
Pengfei Hu
Yang Zhang
MIACV
AAML
26
83
0
16 Sep 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability
  Detection on Ethereum Smart Contracts
Eth2Vec: Learning Contract-Wide Code Representations for Vulnerability Detection on Ethereum Smart Contracts
Nami Ashizawa
Naoto Yanai
Jason Paul Cruz
Shingo Okamura
50
94
0
07 Jan 2021
Membership Leakage in Label-Only Exposures
Membership Leakage in Label-Only Exposures
Zheng Li
Yang Zhang
34
237
0
30 Jul 2020
A Survey of Privacy Attacks in Machine Learning
A Survey of Privacy Attacks in Machine Learning
M. Rigaki
Sebastian Garcia
PILM
AAML
39
213
0
15 Jul 2020
When Machine Unlearning Jeopardizes Privacy
When Machine Unlearning Jeopardizes Privacy
Min Chen
Zhikun Zhang
Tianhao Wang
Michael Backes
Mathias Humbert
Yang Zhang
MIACV
31
218
0
05 May 2020
Language in Our Time: An Empirical Analysis of Hashtags
Language in Our Time: An Empirical Analysis of Hashtags
Yang Zhang
23
26
0
11 May 2019
Privacy in Social Media: Identification, Mitigation and Applications
Privacy in Social Media: Identification, Mitigation and Applications
Ghazaleh Beigi
Huan Liu
13
71
0
07 Aug 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service
L. Hanzlik
Yang Zhang
Kathrin Grosse
A. Salem
Maximilian Augustin
Michael Backes
Mario Fritz
OffRL
16
103
0
01 Aug 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and
  Defenses on Machine Learning Models
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACV
MIALM
41
928
0
04 Jun 2018
Tagvisor: A Privacy Advisor for Sharing Hashtags
Tagvisor: A Privacy Advisor for Sharing Hashtags
Yang Zhang
Mathias Humbert
Tahleen A. Rahman
Cheng-Te Li
Jun Pang
Michael Backes
26
43
0
12 Feb 2018
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