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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
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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
Kuofeng Gao
Yufei Zhu
Yiming Li
Jiawang Bai
Yong-Liang Yang
Zerui Li
Shu-Tao Xia
292
0
0
24 Dec 2025
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
The Web Conference (WWW), 2025
Baolei Zhang
Haoran Xin
Minghong Fang
Zhuqing Liu
Biao Yi
Tong Li
Zheli Liu
SILM
AAML
413
7
0
30 Apr 2025
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
387
18
0
28 Apr 2025
d
X
d_X
d
X
-Privacy for Text and the Curse of Dimensionality
Hassan Jameel Asghar
Robin Carpentier
B. Zhao
Dali Kaafar
366
2
0
21 Nov 2024
PLeak: Prompt Leaking Attacks against Large Language Model Applications
Conference on Computer and Communications Security (CCS), 2024
Bo Hui
Haolin Yuan
Neil Zhenqiang Gong
Philippe Burlina
Yinzhi Cao
AAML
LLMAG
SILM
387
106
0
10 May 2024
PreCurious: How Innocent Pre-Trained Language Models Turn into Privacy Traps
Conference on Computer and Communications Security (CCS), 2024
Ruixuan Liu
Tianhao Wang
Yang Cao
Li Xiong
AAML
SILM
572
27
0
14 Mar 2024
Prompt Stealing Attacks Against Large Language Models
Zeyang Sha
Yang Zhang
SILM
AAML
338
44
0
20 Feb 2024
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
462
0
28 Nov 2023
Detecting Pretraining Data from Large Language Models
International Conference on Learning Representations (ICLR), 2023
Weijia Shi
Anirudh Ajith
Mengzhou Xia
Yangsibo Huang
Daogao Liu
Terra Blevins
Danqi Chen
Luke Zettlemoyer
MIALM
405
306
0
25 Oct 2023
Locally Differentially Private Document Generation Using Zero Shot Prompting
Conference 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
Ronen Eldan
M. Russinovich
MU
MoMe
393
308
0
03 Oct 2023
Can Sensitive Information Be Deleted From LLMs? Objectives for Defending Against Extraction Attacks
International Conference on Learning Representations (ICLR), 2023
Vaidehi Patil
Peter Hase
Joey Tianyi Zhou
KELM
AAML
297
145
0
29 Sep 2023
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
AI4MH
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15,103
0
18 Jul 2023
Effective Prompt Extraction from Language Models
Yiming Zhang
Nicholas Carlini
Daphne Ippolito
MIACV
SILM
325
74
0
13 Jul 2023
Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions
AI and Ethics (AE), 2023
Dawen Zhang
Pamela Finckenberg-Broman
Thong Hoang
Shidong Pan
Zhenchang Xing
Mark Staples
Xiwei Xu
AILaw
MU
434
80
0
08 Jul 2023
ProPILE: Probing Privacy Leakage in Large Language Models
Neural 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
Annual Meeting of the Association for Computational Linguistics (ACL), 2023
Justus Mattern
Fatemehsadat Mireshghallah
Zhijing Jin
Bernhard Schölkopf
Mrinmaya Sachan
Taylor Berg-Kirkpatrick
MIALM
455
262
0
29 May 2023
Speak, Memory: An Archaeology of Books Known to ChatGPT/GPT-4
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Kent K. Chang
Mackenzie Cramer
Sandeep Soni
David Bamman
RALM
554
159
0
28 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling
International 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
1,610
0
03 Apr 2023
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
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20,590
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15 Mar 2023
LLaMA: Open and Efficient Foundation Language Models
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Xavier Martinet
Marie-Anne Lachaux
...
Faisal Azhar
Aurelien Rodriguez
Armand Joulin
Edouard Grave
Guillaume Lample
ALM
PILM
3.8K
17,552
0
27 Feb 2023
DP-BART for Privatized Text Rewriting under Local Differential Privacy
Annual 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
IEEE Symposium on Security and Privacy (IEEE S&P), 2023
Nils Lukas
A. Salem
Robert Sim
Shruti Tople
Lukas Wutschitz
Santiago Zanella Béguelin
PILM
642
313
0
01 Feb 2023
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
249
0
25 May 2022
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
Susan Zhang
Stephen Roller
Naman Goyal
Mikel Artetxe
Moya Chen
...
Daniel Simig
Punit Singh Koura
Anjali Sridhar
Tianlu Wang
Luke Zettlemoyer
VLM
OSLM
AI4CE
839
4,342
0
02 May 2022
Quantifying Privacy Risks of Masked Language Models Using Membership Inference Attacks
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Fatemehsadat Mireshghallah
Kartik Goyal
Archit Uniyal
Taylor Berg-Kirkpatrick
Reza Shokri
MIALM
444
203
0
08 Mar 2022
Quantifying Memorization Across Neural Language Models
International Conference on Learning Representations (ICLR), 2022
Nicholas Carlini
Daphne Ippolito
Matthew Jagielski
Katherine Lee
Florian Tramèr
Chiyuan Zhang
PILM
480
762
0
15 Feb 2022
Locating and Editing Factual Associations in GPT
Neural Information Processing Systems (NeurIPS), 2022
Kevin Meng
David Bau
A. Andonian
Yonatan Belinkov
KELM
895
1,905
0
10 Feb 2022
The Text Anonymization Benchmark (TAB): A Dedicated Corpus and Evaluation Framework for Text Anonymization
Computational 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
SDM (SDM), 2021
Ricardo Silva Carvalho
Theodore Vasiloudis
Oluwaseyi Feyisetan
225
50
0
16 Jul 2021
LoRA: Low-Rank Adaptation of Large Language Models
International Conference on Learning Representations (ICLR), 2021
J. E. Hu
Yelong Shen
Phillip Wallis
Zeyuan Allen-Zhu
Yuanzhi Li
Shean Wang
Lu Wang
Weizhu Chen
OffRL
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AIMat
1.5K
15,154
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ADePT: Auto-encoder based Differentially Private Text Transformation
Conference of the European Chapter of the Association for Computational Linguistics (EACL), 2021
Satyapriya Krishna
Rahul Gupta
Christophe Dupuy
MIACV
SILM
145
40
0
29 Jan 2021
The Pile: An 800GB Dataset of Diverse Text for Language Modeling
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Stella Biderman
Sid Black
Laurence Golding
Travis Hoppe
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Horace He
Anish Thite
Noa Nabeshima
Shawn Presser
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850
2,522
0
31 Dec 2020
Extracting Training Data from Large Language Models
USENIX Security Symposium (USENIX Security), 2020
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Florian Tramèr
Eric Wallace
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Ulfar Erlingsson
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James Bradbury
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Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
976
48,432
0
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Paraphrasing with Large Language Models
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
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Martin Andrews
125
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Leveraging Hierarchical Representations for Preserving Privacy and Utility in Text
Industrial Conference on Data Mining (IDM), 2019
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Tom Diethe
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189
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20 Oct 2019
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211
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