v1v2v3 (latest)

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
Privacy Amplification via Random Participation in Federated Learning Burak Hasircioglu Deniz Gunduz FedML 34 1 0 03 May 2022
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? Héber H. Arcolezi Jean-François Couchot Denis Renaud Bechara al Bouna X. Xiao AI4TS 105 5 0 01 May 2022
Can deep learning match the efficiency of human visual long-term memory in storing object details? Emin Orhan VLM OCL 120 0 0 27 Apr 2022
Secure Distributed/Federated Learning: Prediction-Privacy Trade-Off for Multi-Agent System Mohamed Ridha Znaidi Gaurav Gupta P. Bogdan FedML 40 1 0 24 Apr 2022
Detecting Unintended Memorization in Language-Model-Fused ASR Wenjie Huang Steve Chien Om Thakkar Rajiv Mathews 87 11 0 20 Apr 2022
You Are What You Write: Preserving Privacy in the Era of Large Language Models Richard Plant V. Giuffrida Dimitra Gkatzia PILM 97 19 0 20 Apr 2022
Extracting Targeted Training Data from ASR Models, and How to Mitigate It Ehsan Amid Om Thakkar A. Narayanan Rajiv Mathews Franccoise Beaufays 46 9 0 18 Apr 2022
Just Fine-tune Twice: Selective Differential Privacy for Large Language Models Weiyan Shi Ryan Shea Si-An Chen Chiyuan Zhang R. Jia Zhou Yu AAML 93 42 0 15 Apr 2022
Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data Kyungjune Baek Hyunjung Shim 71 12 0 11 Apr 2022
Truth Serum: Poisoning Machine Learning Models to Reveal Their Secrets Florian Tramèr Reza Shokri Ayrton San Joaquin Hoang Minh Le Matthew Jagielski Sanghyun Hong Nicholas Carlini MIACV 125 123 0 31 Mar 2022
Generating High Fidelity Data from Low-density Regions using Diffusion Models Vikash Sehwag C. Hazirbas Albert Gordo Firat Ozgenel Cristian Canton Ferrer DiffM 97 71 0 31 Mar 2022
Towards Differential Relational Privacy and its use in Question Answering Simone Bombari Alessandro Achille Zijian Wang Yu Wang Yusheng Xie Kunwar Yashraj Singh Srikar Appalaraju Vijay Mahadevan Stefano Soatto 63 1 0 30 Mar 2022
Mixed Differential Privacy in Computer Vision Aditya Golatkar Alessandro Achille Yu Wang Aaron Roth Michael Kearns Stefano Soatto PICV VLM 96 50 0 22 Mar 2022
The Dark Side: Security Concerns in Machine Learning for EDA Zhiyao Xie Jingyu Pan Chen-Chia Chang Yiran Chen 36 4 0 20 Mar 2022
Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching Alissa Ostapenko S. Wintner Melinda Fricke Yulia Tsvetkov 94 5 0 16 Mar 2022
Do Language Models Plagiarize? Jooyoung Lee Thai Le Jinghui Chen Dongwon Lee 103 79 0 15 Mar 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks Fatemehsadat Mireshghallah Kartik Goyal Archit Uniyal Taylor Berg-Kirkpatrick Reza Shokri MIALM 111 168 0 08 Mar 2022
The Fundamental Price of Secure Aggregation in Differentially Private Federated Learning Wei-Ning Chen Christopher A. Choquette-Choo Peter Kairouz A. Suresh FedML 118 65 0 07 Mar 2022
Differentially Private Federated Learning with Local Regularization and Sparsification Anda Cheng Peisong Wang Xi Sheryl Zhang Jian Cheng FedML 77 78 0 07 Mar 2022
Does Label Differential Privacy Prevent Label Inference Attacks? Ruihan Wu Jinfu Zhou Kilian Q. Weinberger Chuan Guo 57 16 0 25 Feb 2022
Differentially Private Estimation of Heterogeneous Causal Effects Fengshi Niu Harsha Nori B. Quistorff R. Caruana Donald Ngwe A. Kannan CML 93 14 0 22 Feb 2022
When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing Chao-Han Huck Yang Jun Qi Samuel Yen-Chi Chen Yu Tsao Pin-Yu Chen 97 58 0 17 Feb 2022
Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams S. Denisov H. B. McMahan J. Rush Adam D. Smith Abhradeep Thakurta FedML 101 66 0 16 Feb 2022
Measuring Unintended Memorisation of Unique Private Features in Neural Networks J. Hartley Sotirios A. Tsaftaris 77 9 0 16 Feb 2022
Quantifying Memorization Across Neural Language Models Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramèr Chiyuan Zhang PILM 135 633 0 15 Feb 2022
Defending against Reconstruction Attacks with Rényi Differential Privacy Pierre Stock I. Shilov Ilya Mironov Alexandre Sablayrolles AAML SILM MIACV 65 40 0 15 Feb 2022
Impact of Pretraining Term Frequencies on Few-Shot Reasoning Yasaman Razeghi Robert L Logan IV Matt Gardner Sameer Singh ReLM LRM 112 157 0 15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models Pin-Yu Chen Sijia Liu AAML 105 16 0 15 Feb 2022
Deduplicating Training Data Mitigates Privacy Risks in Language Models Nikhil Kandpal Eric Wallace Colin Raffel PILM MU 147 295 0 14 Feb 2022
What Does it Mean for a Language Model to Preserve Privacy? Hannah Brown Katherine Lee Fatemehsadat Mireshghallah Reza Shokri Florian Tramèr PILM 106 243 0 11 Feb 2022
Understanding Rare Spurious Correlations in Neural Networks Yao-Yuan Yang Chi-Ning Chou Kamalika Chaudhuri AAML 95 26 0 10 Feb 2022
Deletion Inference, Reconstruction, and Compliance in Machine (Un)Learning Ji Gao Sanjam Garg Mohammad Mahmoody Prashant Nalini Vasudevan MIACV AAML 81 25 0 07 Feb 2022
Red Teaming Language Models with Language Models Ethan Perez Saffron Huang Francis Song Trevor Cai Roman Ring John Aslanides Amelia Glaese Nat McAleese G. Irving AAML 226 672 0 07 Feb 2022
Training Differentially Private Models with Secure Multiparty Computation Sikha Pentyala Davis Railsback Ricardo Maia Rafael Dowsley David Melanson Anderson C. A. Nascimento Martine De Cock 84 15 0 05 Feb 2022
Toward Training at ImageNet Scale with Differential Privacy Alexey Kurakin Shuang Song Steve Chien Roxana Geambasu Andreas Terzis Abhradeep Thakurta 108 104 0 28 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 79 12 0 21 Jan 2022
Fooling MOSS Detection with Pretrained Language Models Stella Biderman Edward Raff DeLMO 74 36 0 19 Jan 2022
Recommendation Unlearning C. L. Philip Chen Fei Sun Hao Fei Bolin Ding MU 88 98 0 18 Jan 2022
Zero-Shot Machine Unlearning Vikram S Chundawat Ayush K Tarun Murari Mandal Mohan S. Kankanhalli MU 108 128 0 14 Jan 2022
Reconstructing Training Data with Informed Adversaries Borja Balle Giovanni Cherubin Jamie Hayes MIACV AAML 95 171 0 13 Jan 2022
DP-FP: Differentially Private Forward Propagation for Large Models Jian Du Haitao Mi 87 5 0 29 Dec 2021
DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning Ismat Jarin Birhanu Eshete AAML 69 10 0 24 Dec 2021
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-Pellissier François Bachoc François Malgouyres 95 17 0 24 Dec 2021
Counterfactual Memorization in Neural Language Models Chiyuan Zhang Daphne Ippolito Katherine Lee Matthew Jagielski Florian Tramèr Nicholas Carlini 108 137 0 24 Dec 2021
Efficient Differentially Private Secure Aggregation for Federated Learning via Hardness of Learning with Errors Timothy Stevens Christian Skalka C. Vincent J. Ring Samuel Clark Joseph P. Near FedML 75 73 0 13 Dec 2021
Automated Side Channel Analysis of Media Software with Manifold Learning Yuanyuan Yuan Qi Pang Shuai Wang AAML 90 19 0 09 Dec 2021
Ethical and social risks of harm from Language Models Laura Weidinger John F. J. Mellor Maribeth Rauh Conor Griffin J. Uesato ... Lisa Anne Hendricks William S. Isaac Sean Legassick G. Irving Iason Gabriel PILM 215 1,045 0 08 Dec 2021
Membership Inference Attacks From First Principles Nicholas Carlini Steve Chien Milad Nasr Shuang Song Andreas Terzis Florian Tramèr MIACV MIALM 152 713 0 07 Dec 2021
Node-Level Differentially Private Graph Neural Networks Ameya Daigavane Gagan Madan Aditya Sinha Abhradeep Thakurta Gaurav Aggarwal Prateek Jain 78 59 0 23 Nov 2021
Decentralized Federated Learning through Proxy Model Sharing Shivam Kalra Junfeng Wen Jesse C. Cresswell M. Volkovs Hamid R. Tizhoosh FedML 99 101 0 22 Nov 2021