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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?

11 April 2019
Sorami Hisamoto
Matt Post
Kevin Duh
    MIACV
    SLR
ArXivPDFHTML

Papers citing "Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System?"

32 / 32 papers shown
Title
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method
Weichao Zhang
Ruqing Zhang
Jiafeng Guo
Maarten de Rijke
Yixing Fan
Xueqi Cheng
38
9
0
23 Sep 2024
Label Smoothing Improves Machine Unlearning
Label Smoothing Improves Machine Unlearning
Zonglin Di
Zhaowei Zhu
Jinghan Jia
Jiancheng Liu
Zafar Takhirov
Bo Jiang
Yuanshun Yao
Sijia Liu
Yang Liu
42
2
0
11 Jun 2024
SecureLLM: Using Compositionality to Build Provably Secure Language
  Models for Private, Sensitive, and Secret Data
SecureLLM: Using Compositionality to Build Provably Secure Language Models for Private, Sensitive, and Secret Data
Abdulrahman Alabdulakreem
Christian M Arnold
Yerim Lee
Pieter M Feenstra
Boris Katz
Andrei Barbu
26
4
0
16 May 2024
Watermarking Makes Language Models Radioactive
Watermarking Makes Language Models Radioactive
Tom Sander
Pierre Fernandez
Alain Durmus
Matthijs Douze
Teddy Furon
WaLM
41
11
0
22 Feb 2024
DP-NMT: Scalable Differentially-Private Machine Translation
DP-NMT: Scalable Differentially-Private Machine Translation
Timour Igamberdiev
Doan Nam Long Vu
Felix Künnecke
Zhuo Yu
Jannik Holmer
Ivan Habernal
40
7
0
24 Nov 2023
Assessing Privacy Risks in Language Models: A Case Study on
  Summarization Tasks
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks
Ruixiang Tang
Gord Lueck
Rodolfo Quispe
Huseyin A. Inan
Janardhan Kulkarni
Xia Hu
31
6
0
20 Oct 2023
Privacy Preserving Large Language Models: ChatGPT Case Study Based
  Vision and Framework
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework
Imdad Ullah
Najm Hassan
S. Gill
Basem Suleiman
T. Ahanger
Zawar Shah
Junaid Qadir
S. Kanhere
45
16
0
19 Oct 2023
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft
  Prompting and Calibrated Confidence Estimation
Ethicist: Targeted Training Data Extraction Through Loss Smoothed Soft Prompting and Calibrated Confidence Estimation
Zhexin Zhang
Jiaxin Wen
Minlie Huang
38
32
0
10 Jul 2023
Training Data Extraction From Pre-trained Language Models: A Survey
Training Data Extraction From Pre-trained Language Models: A Survey
Shotaro Ishihara
37
46
0
25 May 2023
Beyond the Safeguards: Exploring the Security Risks of ChatGPT
Beyond the Safeguards: Exploring the Security Risks of ChatGPT
Erik Derner
Kristina Batistic
SILM
40
65
0
13 May 2023
Privately Fine-Tuning Large Language Models with Differential Privacy
Privately Fine-Tuning Large Language Models with Differential Privacy
R. Behnia
Mohammadreza Ebrahimi
Jason L. Pacheco
B. Padmanabhan
32
44
0
26 Oct 2022
Are Attribute Inference Attacks Just Imputation?
Are Attribute Inference Attacks Just Imputation?
Bargav Jayaraman
David Evans
TDI
MIACV
42
47
0
02 Sep 2022
Data Isotopes for Data Provenance in DNNs
Data Isotopes for Data Provenance in DNNs
Emily Wenger
Xiuyu Li
Ben Y. Zhao
Vitaly Shmatikov
20
12
0
29 Aug 2022
Memorization Without Overfitting: Analyzing the Training Dynamics of
  Large Language Models
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models
Kushal Tirumala
Aram H. Markosyan
Luke Zettlemoyer
Armen Aghajanyan
TDI
31
187
0
22 May 2022
Rethinking Portrait Matting with Privacy Preserving
Rethinking Portrait Matting with Privacy Preserving
Sihan Ma
Jizhizi Li
Jing Zhang
He-jun Zhang
Dacheng Tao
28
23
0
31 Mar 2022
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
FedVLN: Privacy-preserving Federated Vision-and-Language Navigation
Kaiwen Zhou
Junfeng Fang
FedML
28
8
0
28 Mar 2022
Quantifying Privacy Risks of Masked Language Models Using Membership
  Inference Attacks
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
32
152
0
08 Mar 2022
Membership Inference Attacks and Defenses in Neural Network Pruning
Membership Inference Attacks and Defenses in Neural Network Pruning
Xiaoyong Yuan
Lan Zhang
AAML
24
44
0
07 Feb 2022
Red Teaming Language Models with Language Models
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
13
611
0
07 Feb 2022
CoProtector: Protect Open-Source Code against Unauthorized Training
  Usage with Data Poisoning
CoProtector: Protect Open-Source Code against Unauthorized Training Usage with Data Poisoning
Zhensu Sun
Xiaoning Du
Fu Song
Mingze Ni
Li Li
36
68
0
25 Oct 2021
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine
  Learning Models
On the Privacy Risks of Deploying Recurrent Neural Networks in Machine Learning Models
Yunhao Yang
Parham Gohari
Ufuk Topcu
AAML
35
3
0
06 Oct 2021
Membership Inference Attacks Against Temporally Correlated Data in Deep
  Reinforcement Learning
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning
Maziar Gomrokchi
Susan Amin
Hossein Aboutalebi
Alexander Wong
Doina Precup
MIACV
AAML
44
3
0
08 Sep 2021
Survey: Leakage and Privacy at Inference Time
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
23
71
0
04 Jul 2021
Membership Inference on Word Embedding and Beyond
Membership Inference on Word Embedding and Beyond
Saeed Mahloujifar
Huseyin A. Inan
Melissa Chase
Esha Ghosh
Marcello Hasegawa
MIACV
SILM
25
46
0
21 Jun 2021
Privacy-Preserving Portrait Matting
Privacy-Preserving Portrait Matting
Jizhizi Li
Sihan Ma
Jing Zhang
Dacheng Tao
PICV
29
60
0
29 Apr 2021
Membership Inference Attack Susceptibility of Clinical Language Models
Membership Inference Attack Susceptibility of Clinical Language Models
Abhyuday N. Jagannatha
Bhanu Pratap Singh Rawat
Hong-ye Yu
MIACV
29
62
0
16 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language
  Models
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models
Katikapalli Subramanyam Kalyan
A. Rajasekharan
S. Sangeetha
LM&MA
MedIm
28
164
0
16 Apr 2021
Membership Inference Attacks on Machine Learning: A Survey
Membership Inference Attacks on Machine Learning: A Survey
Hongsheng Hu
Z. Salcic
Lichao Sun
Gillian Dobbie
Philip S. Yu
Xuyun Zhang
MIACV
35
412
0
14 Mar 2021
A Study of Face Obfuscation in ImageNet
A Study of Face Obfuscation in ImageNet
Kaiyu Yang
Jacqueline Yau
Li Fei-Fei
Jia Deng
Olga Russakovsky
PICV
CVBM
34
144
0
10 Mar 2021
A Survey of Privacy Attacks in Machine Learning
A Survey of Privacy Attacks in Machine Learning
M. Rigaki
Sebastian Garcia
PILM
AAML
39
213
0
15 Jul 2020
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Imitation Attacks and Defenses for Black-box Machine Translation Systems
Eric Wallace
Mitchell Stern
D. Song
AAML
24
120
0
30 Apr 2020
Six Challenges for Neural Machine Translation
Six Challenges for Neural Machine Translation
Philipp Koehn
Rebecca Knowles
AAML
AIMat
224
1,209
0
12 Jun 2017
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