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Training Data Leakage Analysis in Language Models
v1v2 (latest)

Training Data Leakage Analysis in Language Models

14 January 2021
Huseyin A. Inan
Osman Ramadan
Lukas Wutschitz
Daniel Jones
Victor Rühle
James Withers
Robert Sim
    MIACVPILM
ArXiv (abs)PDFHTML

Papers citing "Training Data Leakage Analysis in Language Models"

27 / 27 papers shown
Title
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
Basel Alomair
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAUSILM
509
1,946
0
14 Dec 2020
When is Memorization of Irrelevant Training Data Necessary for
  High-Accuracy Learning?
When is Memorization of Irrelevant Training Data Necessary for High-Accuracy Learning?
Gavin Brown
Mark Bun
Vitaly Feldman
Adam D. Smith
Kunal Talwar
298
100
0
11 Dec 2020
Label-Only Membership Inference Attacks
Label-Only Membership Inference Attacks
Christopher A. Choquette-Choo
Florian Tramèr
Nicholas Carlini
Nicolas Papernot
MIACVMIALM
98
516
0
28 Jul 2020
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the
  Privacy Risks of Machine Learning
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning
S. K. Murakonda
Reza Shokri
45
76
0
18 Jul 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot Learners
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
880
42,379
0
28 May 2020
Analyzing Information Leakage of Updates to Natural Language Models
Analyzing Information Leakage of Updates to Natural Language Models
Santiago Zanella Béguelin
Lukas Wutschitz
Shruti Tople
Victor Rühle
Andrew Paverd
O. Ohrimenko
Boris Köpf
Marc Brockschmidt
ELMMIACVFedMLPILMKELM
59
127
0
17 Dec 2019
Advances and Open Problems in Federated Learning
Advances and Open Problems in Federated Learning
Peter Kairouz
H. B. McMahan
Brendan Avent
A. Bellet
M. Bennis
...
Zheng Xu
Qiang Yang
Felix X. Yu
Han Yu
Sen Zhao
FedMLAI4CE
268
6,285
0
10 Dec 2019
Language Models as Knowledge Bases?
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELMAI4MH
576
2,674
0
03 Sep 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership
  Inference
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference
Alexandre Sablayrolles
Matthijs Douze
Yann Ollivier
Cordelia Schmid
Hervé Jégou
MIACV
76
368
0
29 Aug 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box
  Membership Inference
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference
Klas Leino
Matt Fredrikson
MIACV
96
272
0
27 Jun 2019
XLNet: Generalized Autoregressive Pretraining for Language Understanding
XLNet: Generalized Autoregressive Pretraining for Language Understanding
Zhilin Yang
Zihang Dai
Yiming Yang
J. Carbonell
Ruslan Salakhutdinov
Quoc V. Le
AI4CE
236
8,447
0
19 Jun 2019
Does Learning Require Memorization? A Short Tale about a Long Tail
Does Learning Require Memorization? A Short Tale about a Long Tail
Vitaly Feldman
TDI
134
498
0
12 Jun 2019
Gmail Smart Compose: Real-Time Assisted Writing
Gmail Smart Compose: Real-Time Assisted Writing
Mengzhao Chen
Benjamin Lee
G. Bansal
Yuan Cao
Shuyuan Zhang
...
Yinan Wang
Andrew M. Dai
Zhiwen Chen
Timothy Sohn
Yonghui Wu
66
206
0
17 May 2019
ERNIE: Enhanced Representation through Knowledge Integration
ERNIE: Enhanced Representation through Knowledge Integration
Yu Sun
Shuohuan Wang
Yukun Li
Shikun Feng
Xuyi Chen
Han Zhang
Xin Tian
Danxiang Zhu
Hao Tian
Hua Wu
121
903
0
19 Apr 2019
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data
  In Your Machine Translation System?
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?
Sorami Hisamoto
Matt Post
Kevin Duh
MIACVSLR
58
107
0
11 Apr 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLMSSLSSeg
1.8K
95,175
0
11 Oct 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and
  Defenses on Machine Learning Models
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACVMIALM
102
950
0
04 Jun 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in
  Neural Networks
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
Nicholas Carlini
Chang-rui Liu
Ulfar Erlingsson
Jernej Kos
Basel Alomair
150
1,148
0
22 Feb 2018
Deep contextualized word representations
Deep contextualized word representations
Matthew E. Peters
Mark Neumann
Mohit Iyyer
Matt Gardner
Christopher Clark
Kenton Lee
Luke Zettlemoyer
NAI
233
11,566
0
15 Feb 2018
Understanding Membership Inferences on Well-Generalized Learning Models
Understanding Membership Inferences on Well-Generalized Learning Models
Yunhui Long
Vincent Bindschaedler
Lei Wang
Diyue Bu
Xiaofeng Wang
Haixu Tang
Carl A. Gunter
Kai Chen
MIALMMIACV
55
224
0
13 Feb 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
786
132,363
0
12 Jun 2017
Understanding deep learning requires rethinking generalization
Understanding deep learning requires rethinking generalization
Chiyuan Zhang
Samy Bengio
Moritz Hardt
Benjamin Recht
Oriol Vinyals
HAI
351
4,635
0
10 Nov 2016
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLRMIALMMIACV
272
4,159
0
18 Oct 2016
Deep Learning with Differential Privacy
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedMLSyDa
216
6,162
0
01 Jul 2016
Conversational Contextual Cues: The Case of Personalization and History
  for Response Ranking
Conversational Contextual Cues: The Case of Personalization and History for Response Ranking
Rami Al-Rfou
Marc Pickett
J. Snaider
Yun-hsuan Sung
B. Strope
R. Kurzweil
HAI
70
92
0
01 Jun 2016
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
578
27,327
0
01 Sep 2014
One Billion Word Benchmark for Measuring Progress in Statistical
  Language Modeling
One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling
Ciprian Chelba
Tomas Mikolov
M. Schuster
Qi Ge
T. Brants
P. Koehn
T. Robinson
190
1,109
0
11 Dec 2013
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