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The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

22 February 2018

Papers citing "The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks"

50 / 441 papers shown

Title
Differentially Private Non Parametric Copulas: Generating synthetic data with non parametric copulas under privacy guarantees Pablo A. Osorio-Marulanda John Esteban Castro Ramirez Mikel Hernández Jiménez Nicolas Moreno Reyes Gorka Epelde Unanue SyDa 52 1 0 27 Sep 2024
Predicting memorization within Large Language Models fine-tuned for classification Jérémie Dentan Davide Buscaldi A. Shabou Sonia Vanier 88 1 0 27 Sep 2024
Trustworthy AI: Securing Sensitive Data in Large Language Models G. Feretzakis V. Verykios 63 17 0 26 Sep 2024
Trustworthy Text-to-Image Diffusion Models: A Timely and Focused Survey Yi Zhang Zhen Chen Chih-Hong Cheng Wenjie Ruan Xiaowei Huang Dezong Zhao David Flynn Siddartha Khastgir Xingyu Zhao MedIm 97 4 0 26 Sep 2024
On the Implicit Relation Between Low-Rank Adaptation and Differential Privacy Saber Malekmohammadi G. Farnadi 236 2 0 26 Sep 2024
Data-centric NLP Backdoor Defense from the Lens of Memorization Zhenting Wang Zhizhi Wang Mingyu Jin Mengnan Du Juan Zhai Shiqing Ma 93 3 0 21 Sep 2024
Training Large ASR Encoders with Differential Privacy Geeticka Chauhan Steve Chien Om Thakkar Abhradeep Thakurta Arun Narayanan 100 1 0 21 Sep 2024
Visualizationary: Automating Design Feedback for Visualization Designers using LLMs Sungbok Shin Sanghyun Hong Niklas Elmqvist 63 2 0 19 Sep 2024
A Deep Dive into Fairness, Bias, Threats, and Privacy in Recommender Systems: Insights and Future Research Falguni Roy Xiaofeng Ding K. -K. R. Choo Pan Zhou FaML 48 0 0 19 Sep 2024
Extracting Memorized Training Data via Decomposition Ellen Su Anu Vellore Amy Chang Raffaele Mura Blaine Nelson Paul Kassianik Amin Karbasi 50 3 0 18 Sep 2024
MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts Tianle Gu Kexin Huang Ruilin Luo Yuanqi Yao Yujiu Yang Yan Teng Yingchun Wang MU 143 9 0 18 Sep 2024
Recent Advances in Attack and Defense Approaches of Large Language Models Jing Cui Yishi Xu Zhewei Huang Shuchang Zhou Jianbin Jiao Junge Zhang PILM AAML 121 2 0 05 Sep 2024
Differentially Private Kernel Density Estimation Erzhi Liu Jerry Yao-Chieh Hu Alex Reneau Zhao Song Han Liu 145 3 0 03 Sep 2024
Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack Chayadon Lumbut Donlapark Ponnoprat 60 0 0 30 Aug 2024
Composable Interventions for Language Models Arinbjorn Kolbeinsson Kyle O'Brien Tianjin Huang Shanghua Gao Shiwei Liu ... Anurag J. Vaidya Faisal Mahmood Marinka Zitnik Tianlong Chen Thomas Hartvigsen KELM MU 199 4 0 09 Jul 2024
Exposing Privacy Gaps: Membership Inference Attack on Preference Data for LLM Alignment Qizhang Feng Siva Rajesh Kasa Santhosh Kumar Kasa Hyokun Yun C. Teo S. Bodapati 146 8 0 08 Jul 2024
Evaluating Copyright Takedown Methods for Language Models Boyi Wei Weijia Shi Yangsibo Huang Noah A. Smith Chiyuan Zhang Luke Zettlemoyer Kai Li Peter Henderson 145 25 0 26 Jun 2024
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon USVSN Sai Prashanth Alvin Deng Kyle O'Brien Jyothir S V Mohammad Aflah Khan ... Jacob Ray Fuehne Stella Biderman Tracy Ke Katherine Lee Naomi Saphra 136 15 0 25 Jun 2024
A Tale of Trust and Accuracy: Base vs. Instruct LLMs in RAG Systems Florin Cuconasu Giovanni Trappolini Nicola Tonellotto Fabrizio Silvestri 83 2 0 21 Jun 2024
Unmasking Database Vulnerabilities: Zero-Knowledge Schema Inference Attacks in Text-to-SQL Systems Đorđe Klisura Anthony Rios AAML 105 2 0 20 Jun 2024
REVS: Unlearning Sensitive Information in Language Models via Rank Editing in the Vocabulary Space Tomer Ashuach Martin Tutek Yonatan Belinkov MU KELM 157 7 0 13 Jun 2024
OSLO: One-Shot Label-Only Membership Inference Attacks Yuefeng Peng Jaechul Roh Subhransu Maji Amir Houmansadr 103 2 0 27 May 2024
Data Reconstruction: When You See It and When You Don't Edith Cohen Haim Kaplan Yishay Mansour Shay Moran Kobbi Nissim Uri Stemmer Eliad Tsfadia AAML 76 3 0 24 May 2024
SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data Abdulrahman Alabdulakreem Christian M Arnold Yerim Lee Pieter M Feenstra Boris Katz Andrei Barbu 69 4 0 16 May 2024
Locally Differentially Private In-Context Learning Chunyan Zheng Keke Sun Wenhao Zhao Haibo Zhou Lixin Jiang Shaoyang Song Chunlai Zhou 165 2 0 07 May 2024
From Matching to Generation: A Survey on Generative Information Retrieval Xiaoxi Li Jiajie Jin Yujia Zhou Yuyao Zhang Peitian Zhang Yutao Zhu Zhicheng Dou 3DV 212 61 0 23 Apr 2024
A Survey on Federated Analytics: Taxonomy, Enabling Techniques, Applications and Open Issues Zibo Wang Haichao Ji Yifei Zhu Dan Wang Zhu Han 141 1 0 19 Apr 2024
ProMark: Proactive Diffusion Watermarking for Causal Attribution Vishal Asnani John Collomosse Tu Bui Xiaoming Liu S. Agarwal WIGM DiffM 148 15 0 14 Mar 2024
ROME: Memorization Insights from Text, Logits and Representation Bo Li Qing Xia Zhao Lijie Wen 77 2 0 01 Mar 2024
Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation Systems Zhenting Qi Hanlin Zhang Eric Xing Sham Kakade Hima Lakkaraju SILM 123 25 0 27 Feb 2024
Proving membership in LLM pretraining data via data watermarks Johnny Tian-Zheng Wei Ryan Yixiang Wang Robin Jia WaLM 121 30 0 16 Feb 2024
PAL: Proxy-Guided Black-Box Attack on Large Language Models Chawin Sitawarin Norman Mu David Wagner Alexandre Araujo ELM 81 35 0 15 Feb 2024
PANORAMIA: Privacy Auditing of Machine Learning Models without Retraining Mishaal Kazmi H. Lautraite Alireza Akbari Mauricio Soroco Qiaoyue Tang Tao Wang Sébastien Gambs Mathias Lécuyer 91 11 0 12 Feb 2024
CroissantLLM: A Truly Bilingual French-English Language Model Manuel Faysse Patrick Fernandes Nuno M. Guerreiro António Loison Duarte M. Alves ... François Yvon André F.T. Martins Gautier Viaud C´eline Hudelot Pierre Colombo 165 37 0 01 Feb 2024
Do LLMs Dream of Ontologies? Marco Bombieri Paolo Fiorini Simone Paolo Ponzetto M. Rospocher CLL 100 3 0 26 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 113 6 0 02 Jan 2024
CodeScope: An Execution-based Multilingual Multitask Multidimensional Benchmark for Evaluating LLMs on Code Understanding and Generation Weixiang Yan Haitian Liu Yunkun Wang Yunzhe Li Qian Chen ... Tingyu Lin Weishan Zhao Li Zhu Hari Sundaram Shuiguang Deng ELM LRM 142 37 0 14 Nov 2023
Federated Experiment Design under Distributed Differential Privacy Wei-Ning Chen Graham Cormode Akash Bharadwaj Peter Romov Ayfer Özgür FedML 71 4 0 07 Nov 2023
Advances in Embodied Navigation Using Large Language Models: A Survey Jinzhou Lin Han Gao Xuxiang Feng Rongtao Xu Changwei Wang Man Zhang Li Guo Shibiao Xu LM&Ro LLMAG 176 10 0 01 Nov 2023
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 99 55 0 31 Oct 2023
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 179 12 0 24 Oct 2023
Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models Matthieu Meeus Shubham Jain Marek Rei Yves-Alexandre de Montjoye MIALM 83 33 0 23 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 172 2 0 20 Oct 2023
No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML Ziqi Zhang Chen Gong Yifeng Cai Yuanyuan Yuan Bingyan Liu Ding Li Yao Guo Xiangqun Chen FedML 81 21 0 11 Oct 2023
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 90 2 0 28 Sep 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey Victoria Smith Ali Shahin Shamsabadi Carolyn Ashurst Adrian Weller PILM 106 27 0 27 Sep 2023
Sparks of Large Audio Models: A Survey and Outlook S. Latif Moazzam Shoukat Fahad Shamshad Muhammad Usama Yi Ren ... Wenwu Wang Xulong Zhang Roberto Togneri Min Zhang Björn W. Schuller LM&MA AuLLM 188 39 0 24 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 78 5 0 18 Aug 2023
Samplable Anonymous Aggregation for Private Federated Data Analysis Kunal Talwar Shan Wang Audra McMillan Vojta Jina Vitaly Feldman ... Congzheng Song Karl Tarbe Sebastian Vogt L. Winstrom Shundong Zhou FedML 161 14 0 27 Jul 2023
When Synthetic Data Met Regulation Georgi Ganev 80 2 0 01 Jul 2023