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Reconstruction of Differentially Private Text Sanitization via Large Language Models
v1v2v3 (latest)

Reconstruction of Differentially Private Text Sanitization via Large Language Models

16 October 2024
Shuchao Pang
Zhigang Lu
Jian Shu
Peng Fu
Yongbin Zhou
Minhui Xue
    AAML
ArXiv (abs)PDFHTMLGithub (19610★)

Papers citing "Reconstruction of Differentially Private Text Sanitization via Large Language Models"

41 / 41 papers shown
Title
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models
Kuofeng Gao
Yufei Zhu
Yiming Li
Jiawang Bai
Yong-Liang Yang
Zerui Li
Shu-Tao Xia
296
0
0
24 Dec 2025
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
Traceback of Poisoning Attacks to Retrieval-Augmented GenerationThe Web Conference (WWW), 2025
Baolei Zhang
Haoran Xin
Minghong Fang
Zhuqing Liu
Biao Yi
Tong Li
Zheli Liu
SILMAAML
413
7
0
30 Apr 2025
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage
Rui Xin
Niloofar Mireshghallah
Shuyue Stella Li
Michael Duan
Hyunwoo Kim
Yejin Choi
Yulia Tsvetkov
Sewoong Oh
Pang Wei Koh
399
18
0
28 Apr 2025
$d_X$-Privacy for Text and the Curse of Dimensionality
dXd_XdX​-Privacy for Text and the Curse of Dimensionality
Hassan Jameel Asghar
Robin Carpentier
B. Zhao
Dali Kaafar
366
1
0
21 Nov 2024
PLeak: Prompt Leaking Attacks against Large Language Model Applications
PLeak: Prompt Leaking Attacks against Large Language Model ApplicationsConference on Computer and Communications Security (CCS), 2024
Bo Hui
Haolin Yuan
Neil Zhenqiang Gong
Philippe Burlina
Yinzhi Cao
AAMLLLMAGSILM
387
106
0
10 May 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy
  Traps
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy TrapsConference on Computer and Communications Security (CCS), 2024
Ruixuan Liu
Tianhao Wang
Yang Cao
Li Xiong
AAMLSILM
572
27
0
14 Mar 2024
Prompt Stealing Attacks Against Large Language Models
Prompt Stealing Attacks Against Large Language Models
Zeyang Sha
Yang Zhang
SILMAAML
338
44
0
20 Feb 2024
Scalable Extraction of Training Data from (Production) Language Models
Scalable Extraction of Training Data from (Production) Language Models
Milad Nasr
Nicholas Carlini
Jonathan Hayase
Matthew Jagielski
A. Feder Cooper
Daphne Ippolito
Christopher A. Choquette-Choo
Eric Wallace
Florian Tramèr
Katherine Lee
SILM
399
466
0
28 Nov 2023
Detecting Pretraining Data from Large Language Models
Detecting Pretraining Data from Large Language ModelsInternational Conference on Learning Representations (ICLR), 2023
Weijia Shi
Anirudh Ajith
Mengzhou Xia
Yangsibo Huang
Daogao Liu
Terra Blevins
Danqi Chen
Luke Zettlemoyer
MIALM
413
309
0
25 Oct 2023
Locally Differentially Private Document Generation Using Zero Shot
  Prompting
Locally Differentially Private Document Generation Using Zero Shot PromptingConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Saiteja Utpala
Sara Hooker
Pin-Yu Chen
262
59
0
24 Oct 2023
Who's Harry Potter? Approximate Unlearning in LLMs
Who's Harry Potter? Approximate Unlearning in LLMs
Ronen Eldan
M. Russinovich
MUMoMe
393
308
0
03 Oct 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending
  Against Extraction Attacks
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction AttacksInternational Conference on Learning Representations (ICLR), 2023
Vaidehi Patil
Peter Hase
Joey Tianyi Zhou
KELMAAML
301
145
0
29 Sep 2023
Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2: Open Foundation and Fine-Tuned Chat Models
Hugo Touvron
Louis Martin
Kevin R. Stone
Peter Albert
Amjad Almahairi
...
Sharan Narang
Aurelien Rodriguez
Robert Stojnic
Sergey Edunov
Thomas Scialom
AI4MHALM
7.1K
15,148
0
18 Jul 2023
Effective Prompt Extraction from Language Models
Effective Prompt Extraction from Language Models
Yiming Zhang
Nicholas Carlini
Daphne Ippolito
MIACVSILM
337
75
0
13 Jul 2023
Right to be Forgotten in the Era of Large Language Models: Implications,
  Challenges, and Solutions
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and SolutionsAI and Ethics (AE), 2023
Dawen Zhang
Pamela Finckenberg-Broman
Thong Hoang
Shidong Pan
Zhenchang Xing
Mark Staples
Xiwei Xu
AILawMU
434
80
0
08 Jul 2023
ProPILE: Probing Privacy Leakage in Large Language Models
ProPILE: Probing Privacy Leakage in Large Language ModelsNeural Information Processing Systems (NeurIPS), 2023
Siwon Kim
Sangdoo Yun
Hwaran Lee
Martin Gubri
Sungroh Yoon
Seong Joon Oh
PILM
782
162
4
04 Jul 2023
Membership Inference Attacks against Language Models via Neighbourhood
  Comparison
Membership Inference Attacks against Language Models via Neighbourhood ComparisonAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Justus Mattern
Fatemehsadat Mireshghallah
Zhijing Jin
Bernhard Schölkopf
Mrinmaya Sachan
Taylor Berg-Kirkpatrick
MIALM
459
264
0
29 May 2023
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kent K. Chang
Mackenzie Cramer
Sandeep Soni
David Bamman
RALM
554
160
0
28 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and
  Scaling
Pythia: A Suite for Analyzing Large Language Models Across Training and ScalingInternational Conference on Machine Learning (ICML), 2023
Stella Biderman
Hailey Schoelkopf
Quentin G. Anthony
Herbie Bradley
Kyle O'Brien
...
USVSN Sai Prashanth
Edward Raff
Aviya Skowron
Lintang Sutawika
Oskar van der Wal
372
1,616
0
03 Apr 2023
GPT-4 Technical Report
GPT-4 Technical Report
OpenAI OpenAI
OpenAI Josh Achiam
Steven Adler
Sandhini Agarwal
Lama Ahmad
...
Shengjia Zhao
Tianhao Zheng
Juntang Zhuang
William Zhuk
Barret Zoph
LLMAGMLLM
4.4K
20,623
0
15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
LLaMA: Open and Efficient Foundation Language Models
Hugo Touvron
Thibaut Lavril
Gautier Izacard
Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALMPILM
4.1K
17,584
0
27 Feb 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy
DP-BART for Privatized Text Rewriting under Local Differential PrivacyAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Timour Igamberdiev
Ivan Habernal
267
25
0
15 Feb 2023
Analyzing Leakage of Personally Identifiable Information in Language
  Models
Analyzing Leakage of Personally Identifiable Information in Language ModelsIEEE Symposium on Security and Privacy (IEEE S&P), 2023
Nils Lukas
A. Salem
Robert Sim
Shruti Tople
Lukas Wutschitz
Santiago Zanella Béguelin
PILM
642
316
0
01 Feb 2023
Are Large Pre-Trained Language Models Leaking Your Personal Information?
Are Large Pre-Trained Language Models Leaking Your Personal Information?Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jie Huang
Hanyin Shao
Kevin Chen-Chuan Chang
PILM
332
252
0
25 May 2022
The Limits of Word Level Differential Privacy
The Limits of Word Level Differential Privacy
Justus Mattern
Benjamin Weggenmann
Florian Kerschbaum
196
62
0
02 May 2022
OPT: Open Pre-trained Transformer Language Models
OPT: Open Pre-trained Transformer Language Models
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLMOSLMAI4CE
839
4,348
0
02 May 2022
Quantifying Privacy Risks of Masked Language Models Using Membership
  Inference Attacks
Quantifying Privacy Risks of Masked Language Models Using Membership Inference AttacksConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
448
204
0
08 Mar 2022
Quantifying Memorization Across Neural Language Models
Quantifying Memorization Across Neural Language ModelsInternational Conference on Learning Representations (ICLR), 2022
Nicholas Carlini
Daphne Ippolito
Matthew Jagielski
Katherine Lee
Florian Tramèr
Chiyuan Zhang
PILM
484
767
0
15 Feb 2022
Locating and Editing Factual Associations in GPT
Locating and Editing Factual Associations in GPTNeural Information Processing Systems (NeurIPS), 2022
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
895
1,909
0
10 Feb 2022
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and
  Evaluation Framework for Text Anonymization
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text AnonymizationComputational Linguistics (CL), 2022
Ildikó Pilán
Pierre Lison
Lilja Ovrelid
Anthia Papadopoulou
David Sánchez
Montserrat Batet
AILaw
339
110
0
25 Jan 2022
TEM: High Utility Metric Differential Privacy on Text
TEM: High Utility Metric Differential Privacy on TextSDM (SDM), 2021
Ricardo Silva Carvalho
Theodore Vasiloudis
Oluwaseyi Feyisetan
225
50
0
16 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
LoRA: Low-Rank Adaptation of Large Language ModelsInternational Conference on Learning Representations (ICLR), 2021
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRLAI4TSAI4CEALMAIMat
1.5K
15,183
0
17 Jun 2021
ADePT: Auto-encoder based Differentially Private Text Transformation
ADePT: Auto-encoder based Differentially Private Text TransformationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Satyapriya Krishna
Rahul Gupta
Christophe Dupuy
MIACVSILM
145
40
0
29 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
Leo Gao
Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
...
Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
Connor Leahy
AIMat
862
2,526
0
31 Dec 2020
Extracting Training Data from Large Language Models
Extracting Training Data from Large Language ModelsUSENIX Security Symposium (USENIX Security), 2020
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
Basel Alomair
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAUSILM
1.2K
2,460
0
14 Dec 2020
Language Models are Few-Shot Learners
Language Models are Few-Shot LearnersNeural Information Processing Systems (NeurIPS), 2020
Tom B. Brown
Benjamin Mann
Nick Ryder
Melanie Subbiah
Jared Kaplan
...
Christopher Berner
Sam McCandlish
Alec Radford
Ilya Sutskever
Dario Amodei
BDL
2.0K
52,011
0
28 May 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning LibraryNeural Information Processing Systems (NeurIPS), 2019
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
976
48,480
0
03 Dec 2019
Paraphrasing with Large Language Models
Paraphrasing with Large Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Sam Witteveen
Martin Andrews
125
89
0
21 Nov 2019
Leveraging Hierarchical Representations for Preserving Privacy and
  Utility in Text
Leveraging Hierarchical Representations for Preserving Privacy and Utility in TextIndustrial Conference on Data Mining (IDM), 2019
Oluwaseyi Feyisetan
Tom Diethe
Thomas Drake
197
85
0
20 Oct 2019
Privacy- and Utility-Preserving Textual Analysis via Calibrated
  Multivariate Perturbations
Privacy- and Utility-Preserving Textual Analysis via Calibrated Multivariate PerturbationsWeb Search and Data Mining (WSDM), 2019
Oluwaseyi Feyisetan
Borja Balle
Thomas Drake
Tom Diethe
211
184
0
20 Oct 2019
Attention Is All You Need
Attention Is All You NeedNeural Information Processing Systems (NeurIPS), 2017
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
3.3K
160,122
0
12 Jun 2017
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