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 / 711 papers shown

Title
SoK: Memorization in General-Purpose Large Language Models Valentin Hartmann Anshuman Suri Vincent Bindschaedler David E. Evans Shruti Tople Robert West KELM LLMAG 24 20 0 24 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 46 10 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 31 30 0 23 Oct 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 50 2 0 20 Oct 2023
Unintended Memorization in Large ASR Models, and How to Mitigate It Lun Wang Om Thakkar Rajiv Mathews 41 5 0 18 Oct 2023
Disentangling the Linguistic Competence of Privacy-Preserving BERT Stefan Arnold Nils Kemmerzell Annika Schreiner 35 0 0 17 Oct 2023
Data Contamination Through the Lens of Time Manley Roberts Himanshu Thakur Christine Herlihy Colin White Samuel Dooley 84 31 0 16 Oct 2023
Impact of Co-occurrence on Factual Knowledge of Large Language Models Cheongwoong Kang Jaesik Choi KELM 38 17 0 12 Oct 2023
Beyond Memorization: Violating Privacy Via Inference with Large Language Models Robin Staab Mark Vero Mislav Balunović Martin Vechev PILM 38 74 0 11 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 37 16 0 11 Oct 2023
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning Christopher A. Choquette-Choo Krishnamurthy Dvijotham Krishna Pillutla Arun Ganesh Thomas Steinke Abhradeep Thakurta 36 13 0 10 Oct 2023
FedFed: Feature Distillation against Data Heterogeneity in Federated Learning Zhiqin Yang Yonggang Zhang Yuxiang Zheng Xinmei Tian Hao Peng Tongliang Liu Bo Han FedML 30 61 0 08 Oct 2023
PrIeD-KIE: Towards Privacy Preserved Document Key Information Extraction S. Saifullah S. Agne Andreas Dengel Sheraz Ahmed 16 0 0 05 Oct 2023
Can Language Models be Instructed to Protect Personal Information? Yang Chen Ethan Mendes Sauvik Das Wei-ping Xu Alan Ritter PILM 27 35 0 03 Oct 2023
Source Inference Attacks: Beyond Membership Inference Attacks in Federated Learning Hongsheng Hu Xuyun Zhang Z. Salcic Lichao Sun K. Choo Gillian Dobbie 16 16 0 30 Sep 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks Vaidehi Patil Peter Hase Joey Tianyi Zhou KELM AAML 31 97 0 29 Sep 2023
Recent Advances of Differential Privacy in Centralized Deep Learning: A Systematic Survey Lea Demelius Roman Kern Andreas Trügler SyDa FedML 36 6 0 28 Sep 2023
Forgetting Private Textual Sequences in Language Models via Leave-One-Out Ensemble Zhe Liu Ozlem Kalinli MU KELM 28 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 32 24 0 27 Sep 2023
Evaluating the Usability of Differential Privacy Tools with Data Practitioners Ivoline C. Ngong Brad Stenger Joseph P. Near Yuanyuan Feng 29 12 0 24 Sep 2023
Communication Efficient Private Federated Learning Using Dithering Burak Hasircioglu Deniz Gunduz FedML 45 7 0 14 Sep 2023
Your Code Secret Belongs to Me: Neural Code Completion Tools Can Memorize Hard-Coded Credentials Yizhan Huang Yichen Li Weibin Wu Jianping Zhang Michael R. Lyu 31 14 0 14 Sep 2023
DP-Forward: Fine-tuning and Inference on Language Models with Differential Privacy in Forward Pass Minxin Du Xiang Yue Sherman S. M. Chow Tianhao Wang Chenyu Huang Huan Sun SILM 32 59 0 13 Sep 2023
Do Generative Large Language Models need billions of parameters? Sia Gholami Marwan Omar 25 18 0 12 Sep 2023
Recovering from Privacy-Preserving Masking with Large Language Models A. Vats Zhe Liu Peng Su Debjyoti Paul Yingyi Ma Yutong Pang Zeeshan Ahmed Ozlem Kalinli 31 9 0 12 Sep 2023
Privacy Side Channels in Machine Learning Systems Edoardo Debenedetti Giorgio Severi Nicholas Carlini Christopher A. Choquette-Choo Matthew Jagielski Milad Nasr Eric Wallace Florian Tramèr MIALM 48 38 0 11 Sep 2023
Quantifying and Analyzing Entity-level Memorization in Large Language Models Zhenhong Zhou Jiuyang Xiang Chao-Yi Chen Sen Su PILM 38 8 0 30 Aug 2023
Probabilistic Dataset Reconstruction from Interpretable Models Julien Ferry Ulrich Aïvodji Sébastien Gambs Marie-José Huguet Mohamed Siala 26 5 0 29 Aug 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 35 38 0 24 Aug 2023
A Survey of Graph Unlearning Anwar Said Tyler Derr Mudassir Shabbir W. Abbas X. Koutsoukos MU 28 7 0 23 Aug 2023
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD Moritz Knolle R. Dorfman Alexander Ziller Daniel Rueckert Georgios Kaissis 22 2 0 23 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 33 4 0 18 Aug 2023
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening Jack Foster Stefan Schoepf Alexandra Brintrup MU 27 85 0 15 Aug 2023
Recommendation Unlearning via Matrix Correction Jiahao Liu Dongsheng Li Hansu Gu T. Lu Jiongran Wu Peng Zhang Li Shang Ning Gu MU 23 4 0 29 Jul 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 38 13 0 27 Jul 2023
What can we learn from Data Leakage and Unlearning for Law? Jaydeep Borkar PILM MU 38 10 0 19 Jul 2023
Co(ve)rtex: ML Models as storage channels and their (mis-)applications Md Abdullah Al Mamun Quazi Mishkatul Alam Erfan Shayegani Pedram Zaree Ihsen Alouani Nael B. Abu-Ghazaleh 42 0 0 17 Jul 2023
Differentially Private Decoupled Graph Convolutions for Multigranular Topology Protection Eli Chien Wei-Ning Chen Chao Pan Pan Li Ayfer Özgür O. Milenkovic 36 12 0 12 Jul 2023
Information-Theoretically Private Federated Submodel Learning with Storage Constrained Databases Sajani Vithana S. Ulukus FedML 20 0 0 12 Jul 2023
Memorization Through the Lens of Curvature of Loss Function Around Samples Isha Garg Deepak Ravikumar Kaushik Roy TDI 16 10 0 11 Jul 2023
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation Zhexin Zhang Jiaxin Wen Minlie Huang 38 30 0 10 Jul 2023
On the Challenges of Deploying Privacy-Preserving Synthetic Data in the Enterprise L. Arthur Jason W Costello Jonathan Hardy Will O'Brien J. Rea Gareth Rees Georgi Ganev 32 2 0 09 Jul 2023
Deconstructing Data Reconstruction: Multiclass, Weight Decay and General Losses G. Buzaglo Niv Haim Gilad Yehudai Gal Vardi Yakir Oz Yaniv Nikankin Michal Irani 34 10 0 04 Jul 2023
Adversarial Learning in Real-World Fraud Detection: Challenges and Perspectives Daniele Lunghi A. Simitsis O. Caelen Gianluca Bontempi AAML FaML 40 4 0 03 Jul 2023
When Synthetic Data Met Regulation Georgi Ganev 29 2 0 01 Jul 2023
Gradients Look Alike: Sensitivity is Often Overestimated in DP-SGD Anvith Thudi Hengrui Jia Casey Meehan Ilia Shumailov Nicolas Papernot 33 3 0 01 Jul 2023
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models Adel M. Elmahdy A. Salem SILM 25 6 0 23 Jun 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
DP-HyPO: An Adaptive Private Hyperparameter Optimization Framework Hua Wang Sheng-yang Gao Huanyu Zhang Weijie J. Su Milan Shen 25 5 0 09 Jun 2023
Machine Unlearning: A Survey Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu MU 38 19 0 06 Jun 2023