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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
Deconstructing Classifiers: Towards A Data Reconstruction Attack Against Text Classification Models Adel M. Elmahdy A. Salem SILM 121 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 101 21 0 14 Jun 2023
Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space Hossein Rezaei Mohammad Sabokrou 80 3 0 30 May 2023
Federated Learning of Gboard Language Models with Differential Privacy Zheng Xu Yanxiang Zhang Galen Andrew Christopher A. Choquette-Choo Peter Kairouz H. B. McMahan Jesse Rosenstock Yuanbo Zhang FedML 122 82 0 29 May 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML Krishna Pillutla Galen Andrew Peter Kairouz H. B. McMahan Alina Oprea Sewoong Oh 93 23 0 29 May 2023
NOTABLE: Transferable Backdoor Attacks Against Prompt-based NLP Models Kai Mei Zheng Li Zhenting Wang Yang Zhang Shiqing Ma AAML SILM 87 51 0 28 May 2023
DPFormer: Learning Differentially Private Transformer on Long-Tailed Data Youlong Ding Xueyang Wu Hongya Wang Weike Pan 102 1 0 28 May 2023
Privacy Protectability: An Information-theoretical Approach Siping Shi Bihai Zhang Dan Wang 54 1 0 25 May 2023
Trade-Offs Between Fairness and Privacy in Language Modeling Cleo Matzken Steffen Eger Ivan Habernal SILM 115 6 0 24 May 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images Zinan Lin Sivakanth Gopi Janardhan Kulkarni Harsha Nori Sergey Yekhanin 175 44 0 24 May 2023
Evaluating Privacy Leakage in Split Learning Xinchi Qiu Ilias Leontiadis Luca Melis Alex Sablayrolles Pierre Stock 115 5 0 22 May 2023
Random Relabeling for Efficient Machine Unlearning Junde Li Swaroop Ghosh MU 85 3 0 21 May 2023
Controlling the Extraction of Memorized Data from Large Language Models via Prompt-Tuning Mustafa Safa Ozdayi Charith Peris Jack G. M. FitzGerald Christophe Dupuy Jimit Majmudar Haidar Khan Rahil Parikh Rahul Gupta 70 34 0 19 May 2023
Privacy Loss of Noisy Stochastic Gradient Descent Might Converge Even for Non-Convex Losses S. Asoodeh Mario Díaz 72 6 0 17 May 2023
Patchwork Learning: A Paradigm Towards Integrative Analysis across Diverse Biomedical Data Sources Suraj Rajendran Weishen Pan M. Sabuncu Yong Chen Jiayu Zhou Fei Wang 102 14 0 10 May 2023
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models Aldo G. Carranza Rezsa Farahani Natalia Ponomareva Alexey Kurakin Matthew Jagielski Milad Nasr SyDa 82 7 0 10 May 2023
Does Prompt-Tuning Language Model Ensure Privacy? Shangyu Xie Wei Dai Esha Ghosh Sambuddha Roy Dan Schwartz Kim Laine SILM 97 4 0 07 Apr 2023
Recognition, recall, and retention of few-shot memories in large language models A. Orhan LRM KELM CLL 69 3 0 30 Mar 2023
Secret-Keeping in Question Answering Nathaniel W. Rollings Kent O'Sullivan Sakshum Kulshrestha KELM 44 0 0 16 Mar 2023
Can Membership Inferencing be Refuted? Zhifeng Kong A. Chowdhury Kamalika Chaudhuri MIALM MIACV 89 7 0 07 Mar 2023
Data-Copying in Generative Models: A Formal Framework Robi Bhattacharjee S. Dasgupta Kamalika Chaudhuri TDI 90 8 0 25 Feb 2023
Tight Auditing of Differentially Private Machine Learning Milad Nasr Jamie Hayes Thomas Steinke Borja Balle Florian Tramèr Matthew Jagielski Nicholas Carlini Andreas Terzis FedML 85 53 0 15 Feb 2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations Mimee Xu Jiankai Sun Xin Yang K. Yao Chong-Jun Wang MU CML CLL 52 13 0 13 Feb 2023
AUTOLYCUS: Exploiting Explainable AI (XAI) for Model Extraction Attacks against Interpretable Models Abdullah Çaglar Öksüz Anisa Halimi Erman Ayday ELM AAML 72 3 0 04 Feb 2023
Understanding Reconstruction Attacks with the Neural Tangent Kernel and Dataset Distillation Noel Loo Ramin Hasani Mathias Lechner Alexander Amini Daniela Rus DD 89 7 0 02 Feb 2023
Analyzing Leakage of Personally Identifiable Information in Language Models Nils Lukas A. Salem Robert Sim Shruti Tople Lukas Wutschitz Santiago Zanella Béguelin PILM 193 235 0 01 Feb 2023
Distributed sequential federated learning Z. Wang X. Y. Zhang Yansong Chang FedML 23 0 0 31 Jan 2023
Context-Aware Differential Privacy for Language Modeling M. H. Dinh Ferdinando Fioretto 63 2 0 28 Jan 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions Lijie Hu Ivan Habernal Lei Shen Di Wang AAML 94 19 0 22 Jan 2023
Threats, Vulnerabilities, and Controls of Machine Learning Based Systems: A Survey and Taxonomy Yusuke Kawamoto Kazumasa Miyake K. Konishi Y. Oiwa 64 4 0 18 Jan 2023
TrojanPuzzle: Covertly Poisoning Code-Suggestion Models H. Aghakhani Wei Dai Andre Manoel Xavier Fernandes Anant Kharkar Christopher Kruegel Giovanni Vigna David Evans B. Zorn Robert Sim SILM 69 37 0 06 Jan 2023
Model Segmentation for Storage Efficient Private Federated Learning with Top $r$ Sparsification Sajani Vithana S. Ulukus FedML 68 5 0 22 Dec 2022
SoK: Let the Privacy Games Begin! A Unified Treatment of Data Inference Privacy in Machine Learning A. Salem Giovanni Cherubin David Evans Boris Köpf Andrew Paverd Anshuman Suri Shruti Tople Santiago Zanella Béguelin 156 40 0 21 Dec 2022
Rate-Privacy-Storage Tradeoff in Federated Learning with Top $r$ Sparsification Sajani Vithana S. Ulukus FedML 58 5 0 19 Dec 2022
Discovering Language Model Behaviors with Model-Written Evaluations Ethan Perez Sam Ringer Kamilė Lukošiūtė Karina Nguyen Edwin Chen ... Danny Hernandez Deep Ganguli Evan Hubinger Nicholas Schiefer Jared Kaplan ALM 102 407 0 19 Dec 2022
Swing Distillation: A Privacy-Preserving Knowledge Distillation Framework Junzhuo Li Xinwei Wu Weilong Dong Shuangzhi Wu Chao Bian Deyi Xiong 113 4 0 16 Dec 2022
Position: Considerations for Differentially Private Learning with Large-Scale Public Pretraining Florian Tramèr Gautam Kamath Nicholas Carlini SILM 129 72 0 13 Dec 2022
Near-Optimal Differentially Private Reinforcement Learning Dan Qiao Yu Wang 92 14 0 09 Dec 2022
Skellam Mixture Mechanism: a Novel Approach to Federated Learning with Differential Privacy Ergute Bao Yizheng Zhu X. Xiao Yifan Yang Beng Chin Ooi B. Tan Khin Mi Mi Aung FedML 82 19 0 08 Dec 2022
Memorization of Named Entities in Fine-tuned BERT Models Andor Diera N. Lell Aygul Garifullina A. Scherp 68 0 0 07 Dec 2022
LDL: A Defense for Label-Based Membership Inference Attacks Arezoo Rajabi D. Sahabandu Luyao Niu Bhaskar Ramasubramanian Radha Poovendran AAML 49 4 0 03 Dec 2022
Exploring the Limits of Differentially Private Deep Learning with Group-wise Clipping Jiyan He Xuechen Li Da Yu Huishuai Zhang Janardhan Kulkarni Y. Lee A. Backurs Nenghai Yu Jiang Bian 118 49 0 03 Dec 2022
Differentially Private Image Classification from Features Harsh Mehta Walid Krichene Abhradeep Thakurta Alexey Kurakin Ashok Cutkosky 113 8 0 24 Nov 2022
Rank-One Editing of Encoder-Decoder Models Vikas Raunak Arul Menezes KELM 83 10 0 23 Nov 2022
Privacy in Practice: Private COVID-19 Detection in X-Ray Images (Extended Version) Lucas Lange Maja Schneider Peter Christen Erhard Rahm 91 7 0 21 Nov 2022
Large Language Models Struggle to Learn Long-Tail Knowledge Nikhil Kandpal H. Deng Adam Roberts Eric Wallace Colin Raffel RALM KELM 166 419 0 15 Nov 2022
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing Jie Fu Zhili Chen Xinpeng Ling 81 1 0 14 Nov 2022
Multi-Epoch Matrix Factorization Mechanisms for Private Machine Learning Christopher A. Choquette-Choo H. B. McMahan Keith Rush Abhradeep Thakurta 91 46 0 12 Nov 2022
Unintended Memorization and Timing Attacks in Named Entity Recognition Models Rana Salal Ali Benjamin Zi Hao Zhao Hassan Jameel Asghar Tham Nguyen Ian D. Wood Dali Kaafar AAML 56 3 0 04 Nov 2022
User-Entity Differential Privacy in Learning Natural Language Models Phung Lai Nhathai Phan Tong Sun R. Jain Franck Dernoncourt Jiuxiang Gu Nikolaos Barmpalios FedML 74 0 0 01 Nov 2022