Privacy-preserving Neural Representations of Text

28 August 2018

Papers citing "Privacy-preserving Neural Representations of Text"

38 / 38 papers shown

Title
AnimateAnyMesh: A Feed-Forward 4D Foundation Model for Text-Driven Universal Mesh Animation Zijie Wu Chaohui Yu Fan Wang Xiang Bai AI4CE 47 0 0 11 Jun 2025
LegalGuardian: A Privacy-Preserving Framework for Secure Integration of Large Language Models in Legal Practice M. Mikail Demir Hakan T. Otal M. A. Canbaz AILaw 105 0 0 19 Jan 2025
IDT: Dual-Task Adversarial Attacks for Privacy Protection Pedro Faustini Shakila Mahjabin Tonni Annabelle McIver Xingliang Yuan Mark Dras SILM AAML 88 0 0 28 Jun 2024
DEPN: Detecting and Editing Privacy Neurons in Pretrained Language Models Xinwei Wu Junzhuo Li Minghui Xu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong MU KELM 92 55 0 31 Oct 2023
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 87 21 0 14 Jun 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services Yansong Li Zhixing Tan Yang Liu SILM VLM 101 69 0 10 May 2023
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 108 4 0 16 Dec 2022
Differentially Private Language Models for Secure Data Sharing Justus Mattern Zhijing Jin Benjamin Weggenmann Bernhard Schoelkopf Mrinmaya Sachan SyDa 99 52 0 25 Oct 2022
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption Garam Lee Minsoo Kim J. Park Seung-won Hwang Jung Hee Cheon 88 18 0 05 Oct 2022
Pile of Law: Learning Responsible Data Filtering from the Law and a 256GB Open-Source Legal Dataset Peter Henderson M. Krass Lucia Zheng Neel Guha Christopher D. Manning Dan Jurafsky Daniel E. Ho AILaw ELM 228 103 0 01 Jul 2022
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing Samuel Sousa Roman Kern PILM AILaw 71 46 0 20 May 2022
Learning Disentangled Textual Representations via Statistical Measures of Similarity Pierre Colombo Guillaume Staerman Nathan Noiry Pablo Piantanida FaML DRL 187 22 0 07 May 2022
The Limits of Word Level Differential Privacy Justus Mattern Benjamin Weggenmann Florian Kerschbaum 60 50 0 02 May 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 89 19 0 20 Apr 2022
Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information Shun Shao Yftah Ziser Shay B. Cohen AAML 73 30 0 15 Mar 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models Nikhil Kandpal Eric Wallace Colin Raffel PILM MU 139 295 0 14 Feb 2022
Anonymization for Skeleton Action Recognition Saemi Moon Myeonghyeon Kim Zhenyue Qin Yang Liu Dongwoo Kim PICV 60 9 0 30 Nov 2021
On Characterizing the Trade-off in Invariant Representation Learning Bashir Sadeghi Sepehr Dehdashtian Vishnu Boddeti 105 7 0 08 Sep 2021
Differential Privacy for Text Analytics via Natural Text Sanitization Xiang Yue Minxin Du Tianhao Wang Yaliang Li Huan Sun Sherman S. M. Chow 96 86 0 02 Jun 2021
Killing One Bird with Two Stones: Model Extraction and Attribute Inference Attacks against BERT-based APIs Chen Chen Xuanli He Lingjuan Lyu Fangzhao Wu SILM MIACV 95 8 0 23 May 2021
Natural Language Understanding with Privacy-Preserving BERT Chen Qu Weize Kong Liu Yang Mingyang Zhang Michael Bendersky Marc Najork 87 76 0 15 Apr 2021
Model Extraction and Adversarial Transferability, Your BERT is Vulnerable! Xuanli He Lingjuan Lyu Xingliang Yuan Lichao Sun MIACV SILM 92 96 0 18 Mar 2021
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models Fatemehsadat Mireshghallah Huseyin A. Inan Marcello Hasegawa Victor Rühle Taylor Berg-Kirkpatrick Robert Sim 47 43 0 12 Mar 2021
Privacy-Preserving Graph Convolutional Networks for Text Classification Timour Igamberdiev Ivan Habernal GNN 85 33 0 10 Feb 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 79 52 0 08 Feb 2021
Fundamental Limits and Tradeoffs in Invariant Representation Learning Han Zhao Chen Dan Bryon Aragam Tommi Jaakkola Geoffrey J. Gordon Pradeep Ravikumar FaML 90 45 0 19 Dec 2020
Differentially Private Representation for NLP: Formal Guarantee and An Empirical Study on Privacy and Fairness Lingjuan Lyu Xuanli He Yitong Li 103 90 0 03 Oct 2020
Towards Differentially Private Text Representations Lingjuan Lyu Yitong Li Xuanli He Tong Xiao 69 39 0 25 Jun 2020
Null It Out: Guarding Protected Attributes by Iterative Nullspace Projection Shauli Ravfogel Yanai Elazar Hila Gonen Michael Twiton Yoav Goldberg 150 388 0 16 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 92 274 0 31 Mar 2020
Predictive Biases in Natural Language Processing Models: A Conceptual Framework and Overview Deven Santosh Shah H. Andrew Schwartz Dirk Hovy AI4CE 120 261 0 09 Nov 2019
Privacy Enhanced Multimodal Neural Representations for Emotion Recognition Mimansa Jaiswal E. Provost 108 76 0 29 Oct 2019
Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text Oluwaseyi Feyisetan Tom Diethe Thomas Drake 71 75 0 20 Oct 2019
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate Perturbations Oluwaseyi Feyisetan Borja Balle Thomas Drake Tom Diethe 66 157 0 20 Oct 2019
Topics to Avoid: Demoting Latent Confounds in Text Classification Sachin Kumar S. Wintner Noah A. Smith Yulia Tsvetkov BDL OOD 88 31 0 01 Sep 2019
Overlearning Reveals Sensitive Attributes Congzheng Song Vitaly Shmatikov 91 157 0 28 May 2019
Obfuscation for Privacy-preserving Syntactic Parsing Zhifeng Hu Serhii Havrylov Ivan Titov Shay B. Cohen 59 7 0 21 Apr 2019
Generalised Differential Privacy for Text Document Processing Natasha Fernandes Mark Dras Annabelle McIver 79 107 0 26 Nov 2018