Tagvisor: A Privacy Advisor for Sharing Hashtags

Tagvisor: A Privacy Advisor for Sharing Hashtags

12 February 2018

Mathias Humbert

Tahleen A. Rahman

Michael Backes

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Papers citing "Tagvisor: A Privacy Advisor for Sharing Hashtags"

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Title
Multi-modal Representation Learning for Social Post Location Inference Rui Dai Jiayi Luo Xucheng Luo Lisi Mo Wanlun Ma Fan Zhou 26 2 0 11 Jun 2023
Auditing Membership Leakages of Multi-Exit Networks Zheng Li Yiyong Liu Xinlei He Ning Yu Michael Backes Yang Zhang AAML 73 34 0 23 Aug 2022
FairSR: Fairness-aware Sequential Recommendation through Multi-Task Learning with Preference Graph Embeddings Cheng-Te Li Cheng-Mao Hsu Yang Zhang FaML 89 37 0 30 Apr 2022
Get a Model! Model Hijacking Attack Against Machine Learning Models A. Salem Michael Backes Yang Zhang AAML 101 28 0 08 Nov 2021
Privacy in Open Search: A Review of Challenges and Solutions Samuel Sousa Christian Guetl Roman Kern 67 3 0 20 Oct 2021
RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation Cheng-Mao Hsu Cheng-Te Li 59 73 0 29 Jan 2021
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 92 233 0 05 May 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 147 276 0 07 Mar 2020
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 106 398 0 23 Sep 2019
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges Jinyuan Jia Neil Zhenqiang Gong AAML SILM 87 17 0 17 Sep 2019
Multifaceted Privacy: How to Express Your Online Persona without Revealing Your Sensitive Attributes Victor Zakhary Ishani Gupta Rey Tang A. El Abbadi 30 2 0 23 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 88 26 0 11 May 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 96 257 0 01 Apr 2019
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 98 106 0 01 Aug 2018
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 165 955 0 04 Jun 2018