I Am Not What I Write: Privacy Preserving Text Representation Learning

I Am Not What I Write: Privacy Preserving Text Representation Learning

6 July 2019

Huan Liu

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Papers citing "I Am Not What I Write: Privacy Preserving Text Representation Learning"

13 / 13 papers shown

Title
Investigating User Perspectives on Differentially Private Text Privatization Stephen Meisenbacher Alexandra Klymenko Alexander Karpp Florian Matthes 89 0 0 12 Mar 2025
$1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy$ 1-Diffractor: Efficient and Utility-Preserving Text Obfuscation Leveraging Word-Level Metric Differential Privacy Stephen Meisenbacher Maulik Chevli Florian Matthes 80 6 0 02 May 2024
A Neighbourhood-Aware Differential Privacy Mechanism for Static Word Embeddings Danushka Bollegala Shuichi Otake T. Machide Ken-ichi Kawarabayashi 136 4 0 19 Sep 2023
Differentially Private Language Models for Secure Data Sharing Justus Mattern Zhijing Jin Benjamin Weggenmann Bernhard Schoelkopf Mrinmaya Sachan SyDa 104 52 0 25 Oct 2022
How Much User Context Do We Need? Privacy by Design in Mental Health NLP Application Ramit Sawhney A. Neerkaje Ivan Habernal Lucie Flek 73 3 0 05 Sep 2022
Unlearning Protected User Attributes in Recommendations with Adversarial Training Christian Ganhor D. Penz Navid Rekabsaz Oleg Lesota Markus Schedl FaML MU 51 42 0 09 Jun 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 94 19 0 20 Apr 2022
How reparametrization trick broke differentially-private text representation learning Ivan Habernal 49 13 0 24 Feb 2022
CAPE: Context-Aware Private Embeddings for Private Language Learning Richard Plant Dimitra Gkatzia V. Giuffrida 80 27 0 27 Aug 2021
Automatic de-identification of Data Download Packages L. Boeschoten Roos Voorvaart Casper S. Kaandorp Ruben van den Goorbergh M. Vos 30 11 0 04 May 2021
Examining the Feasibility of Off-the-Shelf Algorithms for Masking Directly Identifiable Information in Social Media Data Rachel Dorn A. Nobles Masoud Rouhizadeh Mark Dredze 18 2 0 16 Nov 2020
Social Science Guided Feature Engineering: A Novel Approach to Signed Link Analysis Ghazaleh Beigi Jiliang Tang Huan Liu 104 7 0 04 Jan 2020
Privacy-Aware Recommendation with Private-Attribute Protection using Adversarial Learning Ghazaleh Beigi Ahmadreza Mosallanezhad Ruocheng Guo Hamidreza Alvari A. Nou Huan Liu SILM 85 69 0 22 Nov 2019