Information Leakage in Embedding Models

31 March 2020

Papers citing "Information Leakage in Embedding Models"

47 / 47 papers shown

Title
Cape: Context-Aware Prompt Perturbation Mechanism with Differential Privacy Haoqi Wu Wei Dai Li Wang Qiang Yan SILM 40 0 0 09 May 2025
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning Zhihao Zeng Ziquan Fang Wei Shao Lu Chen Yunjun Gao FedML 51 0 0 08 May 2025
Prompt Inversion Attack against Collaborative Inference of Large Language Models Wenjie Qu Yuguang Zhou Yongji Wu Tingsong Xiao Binhang Yuan Heng Chang Jiaheng Zhang 76 0 0 12 Mar 2025
ALGEN: Few-shot Inversion Attacks on Textual Embeddings using Alignment and Generation Yiyi Chen Qiongkai Xu Johannes Bjerva 49 0 0 16 Feb 2025
Membership Inference Risks in Quantized Models: A Theoretical and Empirical Study Eric Aubinais Philippe Formont Pablo Piantanida Elisabeth Gassiat 50 0 0 10 Feb 2025
Top Ten Challenges Towards Agentic Neural Graph Databases Jiaxin Bai Zehua Wang Yukun Zhou Hang Yin Weizhi Fei ... Binhang Yuan Wei Wang Lei Chen Xiaofang Zhou Yangqiu Song 124 1 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 42 1 0 19 Jan 2025
Navigating the Designs of Privacy-Preserving Fine-tuning for Large Language Models Haonan Shi Tu Ouyang An Wang 36 0 0 08 Jan 2025
On the Vulnerability of Text Sanitization Meng Tong Kejiang Chen Xiaojian Yuang Xiaozhong Liu Wenbo Zhang Nenghai Yu Jie Zhang 52 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 42 1 0 17 Oct 2024
A Different Level Text Protection Mechanism With Differential Privacy Qingwen Fu 41 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 48 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 44 8 0 12 Jun 2024
Reconstructing training data from document understanding models Jérémie Dentan Arnaud Paran A. Shabou AAML SyDa 49 1 0 05 Jun 2024
HETAL: Efficient Privacy-preserving Transfer Learning with Homomorphic Encryption Seewoo Lee Garam Lee Jung Woo Kim Junbum Shin Mun-Kyu Lee 36 26 0 21 Mar 2024
Membership Inference Attacks and Privacy in Topic Modeling Nico Manzonelli Wanrong Zhang Salil P. Vadhan 37 1 0 07 Mar 2024
OLViT: Multi-Modal State Tracking via Attention-Based Embeddings for Video-Grounded Dialog Adnen Abdessaied Manuel von Hochmeister Andreas Bulling 40 2 0 20 Feb 2024
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 50 2 0 20 Oct 2023
Disentangling the Linguistic Competence of Privacy-Preserving BERT Stefan Arnold Nils Kemmerzell Annika Schreiner 33 0 0 17 Oct 2023
Text Embeddings Reveal (Almost) As Much As Text John X. Morris Volodymyr Kuleshov Vitaly Shmatikov Alexander M. Rush RALM 28 94 0 10 Oct 2023
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation Zhexin Zhang Jiaxin Wen Minlie Huang 38 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 28 20 0 14 Jun 2023
Privacy-Preserving Prompt Tuning for Large Language Model Services Yansong Li Zhixing Tan Yang Liu SILM VLM 53 63 0 10 May 2023
On the Adversarial Inversion of Deep Biometric Representations Gioacchino Tangari Shreesh Keskar Hassan Jameel Asghar Dali Kaafar AAML 31 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 47 321 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 31 75 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 46 65 0 20 Dec 2022
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption Garam Lee Minsoo Kim J. Park Seung-won Hwang Jung Hee Cheon 38 16 0 05 Oct 2022
M^4I: Multi-modal Models Membership Inference Pingyi Hu Zihan Wang Ruoxi Sun Hu Wang Minhui Xue 39 26 0 15 Sep 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 36 58 0 07 Sep 2022
Data Provenance via Differential Auditing Xin Mu Ming Pang Feida Zhu 11 1 0 04 Sep 2022
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models Xinlei He Zheng Li Weilin Xu Cory Cornelius Yang Zhang MIACV 35 24 0 22 Aug 2022
Differential Privacy in Natural Language Processing: The Story So Far Oleksandra Klymenko Stephen Meisenbacher Florian Matthes 34 15 0 17 Aug 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 131 97 0 01 Jul 2022
CryptoTL: Private, Efficient and Secure Transfer Learning Roman Walch Samuel Sousa Lukas Helminger Stefanie N. Lindstaedt Christian Rechberger A. Trugler 38 8 0 24 May 2022
Recovering Private Text in Federated Learning of Language Models Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 30 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 23 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 32 151 0 08 Mar 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models Nikhil Kandpal Eric Wallace Colin Raffel PILM MU 51 274 0 14 Feb 2022
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning Hongbin Liu Jinyuan Jia Wenjie Qu Neil Zhenqiang Gong 4 94 0 25 Aug 2021
Membership Inference on Word Embedding and Beyond Saeed Mahloujifar Huseyin A. Inan Melissa Chase Esha Ghosh Marcello Hasegawa MIACV SILM 25 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 35 412 0 14 Mar 2021
Quantifying and Mitigating Privacy Risks of Contrastive Learning Xinlei He Yang Zhang 21 51 0 08 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 17 125 0 04 Feb 2021
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 33 109 0 07 Nov 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 39 213 0 15 Jul 2020
Convolutional Neural Networks for Sentence Classification Yoon Kim AILaw VLM 255 13,368 0 25 Aug 2014