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1802.08232
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The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
22 February 2018
Nicholas Carlini
Chang-rui Liu
Ulfar Erlingsson
Jernej Kos
Basel Alomair
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Papers citing
"The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks"
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Can deep learning match the efficiency of human visual long-term memory in storing object details?
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1
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Detecting Unintended Memorization in Language-Model-Fused ASR
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Steve Chien
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87
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You Are What You Write: Preserving Privacy in the Era of Large Language Models
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Extracting Targeted Training Data from ASR Models, and How to Mitigate It
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Franccoise Beaufays
46
9
0
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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
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125
123
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Albert Gordo
Firat Ozgenel
Cristian Canton Ferrer
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97
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Towards Differential Relational Privacy and its use in Question Answering
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Alessandro Achille
Zijian Wang
Yu Wang
Yusheng Xie
Kunwar Yashraj Singh
Srikar Appalaraju
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Stefano Soatto
63
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Alessandro Achille
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Aaron Roth
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96
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Chen-Chia Chang
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36
4
0
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Speaker Information Can Guide Models to Better Inductive Biases: A Case Study On Predicting Code-Switching
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S. Wintner
Melinda Fricke
Yulia Tsvetkov
94
5
0
16 Mar 2022
Do Language Models Plagiarize?
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Thai Le
Jinghui Chen
Dongwon Lee
103
79
0
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Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
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Kartik Goyal
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Taylor Berg-Kirkpatrick
Reza Shokri
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111
168
0
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A. Suresh
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118
65
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Xi Sheryl Zhang
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77
78
0
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Jinfu Zhou
Kilian Q. Weinberger
Chuan Guo
57
16
0
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Differentially Private Estimation of Heterogeneous Causal Effects
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Harsha Nori
B. Quistorff
R. Caruana
Donald Ngwe
A. Kannan
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93
14
0
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When BERT Meets Quantum Temporal Convolution Learning for Text Classification in Heterogeneous Computing
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Jun Qi
Samuel Yen-Chi Chen
Yu Tsao
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97
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Improved Differential Privacy for SGD via Optimal Private Linear Operators on Adaptive Streams
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H. B. McMahan
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Adam D. Smith
Abhradeep Thakurta
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101
66
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Measuring Unintended Memorisation of Unique Private Features in Neural Networks
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77
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Quantifying Memorization Across Neural Language Models
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Daphne Ippolito
Matthew Jagielski
Katherine Lee
Florian Tramèr
Chiyuan Zhang
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135
633
0
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Defending against Reconstruction Attacks with Rényi Differential Privacy
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I. Shilov
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Alexandre Sablayrolles
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MIACV
65
40
0
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Impact of Pretraining Term Frequencies on Few-Shot Reasoning
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Robert L Logan IV
Matt Gardner
Sameer Singh
ReLM
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112
157
0
15 Feb 2022
Holistic Adversarial Robustness of Deep Learning Models
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Sijia Liu
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105
16
0
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Deduplicating Training Data Mitigates Privacy Risks in Language Models
Nikhil Kandpal
Eric Wallace
Colin Raffel
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MU
147
295
0
14 Feb 2022
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Reza Shokri
Florian Tramèr
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106
243
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Sanjam Garg
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81
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Francis Song
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Roman Ring
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Amelia Glaese
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226
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84
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108
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12
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Recommendation Unlearning
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88
98
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Zero-Shot Machine Unlearning
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108
128
0
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Reconstructing Training Data with Informed Adversaries
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171
0
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DP-FP: Differentially Private Forward Propagation for Large Models
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87
5
0
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DP-UTIL: Comprehensive Utility Analysis of Differential Privacy in Machine Learning
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69
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Parameter identifiability of a deep feedforward ReLU neural network
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108
137
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...
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Gagan Madan
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78
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0
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