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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
Enhanced Membership Inference Attacks against Machine Learning Models Jiayuan Ye Aadyaa Maddi S. K. Murakonda Vincent Bindschaedler Reza Shokri MIALM MIACV 116 257 0 18 Nov 2021
How much do language models copy from their training data? Evaluating linguistic novelty in text generation using RAVEN R. Thomas McCoy P. Smolensky Tal Linzen Jianfeng Gao Asli Celikyilmaz SyDa 94 124 0 18 Nov 2021
On the Importance of Difficulty Calibration in Membership Inference Attacks Lauren Watson Chuan Guo Graham Cormode Alex Sablayrolles 111 135 0 15 Nov 2021
Property Inference Attacks Against GANs Junhao Zhou Yufei Chen Chao Shen Yang Zhang AAML MIACV 107 55 0 15 Nov 2021
The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection Shubhankar Mohapatra Sajin Sasy Xi He Gautam Kamath Om Thakkar 164 33 0 09 Nov 2021
Get a Model! Model Hijacking Attack Against Machine Learning Models A. Salem Michael Backes Yang Zhang AAML 101 28 0 08 Nov 2021
Privacy attacks for automatic speech recognition acoustic models in a federated learning framework N. Tomashenko Salima Mdhaffar Marc Tommasi Yannick Esteve J. Bonastre 84 25 0 06 Nov 2021
Backdoor Pre-trained Models Can Transfer to All Lujia Shen S. Ji Xuhong Zhang Jinfeng Li Jing Chen Jie Shi Chengfang Fang Jianwei Yin Ting Wang AAML SILM 102 131 0 30 Oct 2021
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture Xinyu Tang Saeed Mahloujifar Liwei Song Virat Shejwalkar Milad Nasr Amir Houmansadr Prateek Mittal 69 80 0 15 Oct 2021
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 262 373 0 13 Oct 2021
Generalization Techniques Empirically Outperform Differential Privacy against Membership Inference Jiaxiang Liu Simon Oya Florian Kerschbaum MIACV 153 9 0 11 Oct 2021
Unrolling SGD: Understanding Factors Influencing Machine Unlearning Anvith Thudi Gabriel Deza Varun Chandrasekaran Nicolas Papernot MU 142 182 0 27 Sep 2021
Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data Georgi Ganev Bristena Oprisanu Emiliano De Cristofaro 139 58 0 23 Sep 2021
SoK: Machine Learning Governance Varun Chandrasekaran Hengrui Jia Anvith Thudi Adelin Travers Mohammad Yaghini Nicolas Papernot 137 16 0 20 Sep 2021
Membership Inference Attacks Against Recommender Systems Minxing Zhang Zhaochun Ren Zihan Wang Pengjie Ren Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 83 90 0 16 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 82 82 0 13 Sep 2021
EMA: Auditing Data Removal from Trained Models Yangsibo Huang Xiaoxiao Li Kai Li 40 15 0 08 Sep 2021
Selective Differential Privacy for Language Modeling Weiyan Shi Aiqi Cui Evan Li R. Jia Zhou Yu 89 73 0 30 Aug 2021
Differentially Private n-gram Extraction Kunho Kim Sivakanth Gopi Janardhan Kulkarni Sergey Yekhanin 66 15 0 05 Aug 2021
Artificial Intelligence in Healthcare: Lost In Translation? V. Madai David C. Higgins 18 4 0 28 Jul 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien Prateek Jain Walid Krichene Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 54 19 0 20 Jul 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 80 33 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 192 213 0 12 Jul 2021
Anticipating Safety Issues in E2E Conversational AI: Framework and Tooling Emily Dinan Gavin Abercrombie A. S. Bergman Shannon L. Spruit Dirk Hovy Y-Lan Boureau Verena Rieser 97 109 0 07 Jul 2021
RoFL: Robustness of Secure Federated Learning Hidde Lycklama Lukas Burkhalter Alexander Viand Nicolas Küchler Anwar Hithnawi FedML 88 63 0 07 Jul 2021
Optimizing the Numbers of Queries and Replies in Federated Learning with Differential Privacy Yipeng Zhou Xuezheng Liu Yao Fu Di Wu Chao Li Shui Yu FedML 74 2 0 05 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 113 75 0 04 Jul 2021
Privacy Budget Scheduling Tao Luo Mingen Pan Pierre Tholoniat Asaf Cidon Roxana Geambasu Mathias Lécuyer 59 33 0 29 Jun 2021
Covariance-Aware Private Mean Estimation Without Private Covariance Estimation Gavin Brown Marco Gaboardi Adam D. Smith Jonathan R. Ullman Lydia Zakynthinou FedML 106 50 0 24 Jun 2021
Membership Inference on Word Embedding and Beyond Saeed Mahloujifar Huseyin A. Inan Melissa Chase Esha Ghosh Marcello Hasegawa MIACV SILM 90 49 0 21 Jun 2021
Large Scale Private Learning via Low-rank Reparametrization Da Yu Huishuai Zhang Wei Chen Jian Yin Tie-Yan Liu 87 106 0 17 Jun 2021
Antipodes of Label Differential Privacy: PATE and ALIBI Mani Malek Ilya Mironov Karthik Prasad I. Shilov Florian Tramèr 71 66 0 07 Jun 2021
On Memorization in Probabilistic Deep Generative Models G. V. D. Burg Christopher K. I. Williams TDI 95 63 0 06 Jun 2021
A unified PAC-Bayesian framework for machine unlearning via information risk minimization Sharu Theresa Jose Osvaldo Simeone MU 78 7 0 01 Jun 2021
Bounding Information Leakage in Machine Learning Ganesh Del Grosso Georg Pichler C. Palamidessi Pablo Piantanida MIACV FedML 88 10 0 09 May 2021
Poisoning the Unlabeled Dataset of Semi-Supervised Learning Nicholas Carlini AAML 220 68 0 04 May 2021
A Review of Confidentiality Threats Against Embedded Neural Network Models Raphael Joud Pierre-Alain Moëllic Rémi Bernhard J. Rigaud 77 6 0 04 May 2021
Privacy-Preserving Portrait Matting Jizhizi Li Sihan Ma Jing Zhang Dacheng Tao PICV 81 63 0 29 Apr 2021
Memorisation versus Generalisation in Pre-trained Language Models Michael Tänzer Sebastian Ruder Marek Rei 112 51 0 16 Apr 2021
Membership Inference Attacks on Knowledge Graphs Yu Wang Lifu Huang Philip S. Yu Lichao Sun MIACV 61 15 0 16 Apr 2021
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter It Trung D. Q. Dang Om Thakkar Swaroop Indra Ramaswamy Rajiv Mathews Peter Chin Franccoise Beaufays FedML 53 10 0 15 Apr 2021
Nine Potential Pitfalls when Designing Human-AI Co-Creative Systems Daniel Buschek Lukas Mecke Florian Lehmann Hai Dang 131 43 0 01 Apr 2021
DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation Wei Ping Fan Wu Yunhui Long Luka Rimanic Ce Zhang Yue Liu FedML 133 66 0 20 Mar 2021
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 125 448 0 14 Mar 2021
Robust Model Compression Using Deep Hypotheses Omri Armstrong Ran Gilad-Bachrach OOD 26 2 0 13 Mar 2021
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models Fatemehsadat Mireshghallah Huseyin A. Inan Marcello Hasegawa Victor Rühle Taylor Berg-Kirkpatrick Robert Sim 47 43 0 12 Mar 2021
Private Cross-Silo Federated Learning for Extracting Vaccine Adverse Event Mentions Pallika H. Kanani Virendra J. Marathe Daniel W. Peterson R. Harpaz Steve Bright FedML 85 9 0 12 Mar 2021
Quantum machine learning with differential privacy William Watkins Samuel Yen-Chi Chen Shinjae Yoo 95 49 0 10 Mar 2021
A Study of Face Obfuscation in ImageNet Kaiyu Yang Jacqueline Yau Li Fei-Fei Jia Deng Olga Russakovsky PICV CVBM 115 147 0 10 Mar 2021
Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features Nicolas Berthier Amany Alshareef James Sharp S. Schewe Xiaowei Huang 74 10 0 05 Mar 2021