Information Leakage in Embedding Models

31 March 2020

Papers citing "Information Leakage in Embedding Models"

31 / 31 papers shown

Title
Prompt Inversion Attack against Collaborative Inference of Large Language Models Wenjie Qu Yuguang Zhou Yongji Wu Tingsong Xiao Binhang Yuan Y. Li Jiaheng Zhang 66 0 0 12 Mar 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study Eric Aubinais Philippe Formont Pablo Piantanida Elisabeth Gassiat 38 0 0 10 Feb 2025
Top Ten Challenges Towards Agentic Neural Graph Databases Jiaxin Bai Z. Wang Yukun Zhou Hang Yin WeiZhi Fei ... Binhang Yuan Wei Wang Lei Chen Xiaofang Zhou Y. Song 52 0 0 24 Jan 2025
GRID: Protecting Training Graph from Link Stealing Attacks on GNN Models Jiadong Lou Xu Yuan Rui Zhang Xingliang Yuan Neil Gong N. Tzeng AAML 33 1 0 19 Jan 2025
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models Haonan Shi Tu Ouyang An Wang 31 0 0 08 Jan 2025
On the Vulnerability of Text Sanitization Meng Tong Kejiang Chen Xiaojian Yuang J. Liu W. Zhang Nenghai Yu Jie Zhang 47 0 0 22 Oct 2024
Large Language Models are Easily Confused: A Quantitative Metric, Security Implications and Typological Analysis Yiyi Chen Qiongxiu Li Russa Biswas Johannes Bjerva 34 1 0 17 Oct 2024
A Different Level Text Protection Mechanism With Differential Privacy Qingwen Fu 20 0 0 05 Sep 2024
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory Haoran Li Wei Fan Yulin Chen Jiayang Cheng Tianshu Chu Xuebing Zhou Peizhao Hu Yangqiu Song AILaw 37 2 0 19 Aug 2024
Transferable Embedding Inversion Attack: Uncovering Privacy Risks in Text Embeddings without Model Queries Yu-Hsiang Huang Yuche Tsai Hsiang Hsiao Hong-Yi Lin Shou-De Lin SILM 35 6 0 12 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 34 1 0 05 Jun 2024
Membership Inference Attacks and Privacy in Topic Modeling Nico Manzonelli Wanrong Zhang Salil P. Vadhan 19 1 0 07 Mar 2024
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 35 2 0 20 Oct 2023
Text Embeddings Reveal (Almost) As Much As Text John X. Morris Volodymyr Kuleshov Vitaly Shmatikov Alexander M. Rush RALM 24 89 0 10 Oct 2023
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation Zhexin Zhang Jiaxin Wen Minlie Huang 17 29 0 10 Jul 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 11 20 0 14 Jun 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services Yansong Li Zhixing Tan Yang Liu SILM VLM 41 63 0 10 May 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar H. Asghar Dali Kaafar AAML 12 2 0 12 Apr 2023
Multi-step Jailbreaking Privacy Attacks on ChatGPT Haoran Li Dadi Guo Wei Fan Mingshi Xu Jie Huang Fanpu Meng Yangqiu Song SILM 19 317 0 11 Apr 2023
"Real Attackers Don't Compute Gradients": Bridging the Gap Between Adversarial ML Research and Practice Giovanni Apruzzese Hyrum S. Anderson Savino Dambra D. Freeman Fabio Pierazzi Kevin A. Roundy AAML 14 74 0 29 Dec 2022
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods Zhuo Zhang Yuanhang Yang Yong Dai Lizhen Qu Zenglin Xu FedML 8 63 0 20 Dec 2022
Why So Toxic? Measuring and Triggering Toxic Behavior in Open-Domain Chatbots Waiman Si Michael Backes Jeremy Blackburn Emiliano De Cristofaro Gianluca Stringhini Savvas Zannettou Yang Zhang 11 57 0 07 Sep 2022
Differential Privacy in Natural Language Processing: The Story So Far Oleksandra Klymenko Stephen Meisenbacher Florian Matthes 19 15 0 17 Aug 2022
Recovering Private Text in Federated Learning of Language Models Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 17 74 0 17 May 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 8 19 0 20 Apr 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 18 151 0 08 Mar 2022
Membership Inference on Word Embedding and Beyond Saeed Mahloujifar Huseyin A. Inan Melissa Chase Esha Ghosh Marcello Hasegawa MIACV SILM 8 46 0 21 Jun 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 11 408 0 14 Mar 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 11 50 0 08 Feb 2021
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 6 210 0 15 Jul 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 241 13,283 0 25 Aug 2014