Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2310.16111
Cited By
Locally Differentially Private Document Generation Using Zero Shot Prompting
24 October 2023
Saiteja Utpala
Sara Hooker
Pin-Yu Chen
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Locally Differentially Private Document Generation Using Zero Shot Prompting"
18 / 18 papers shown
Title
Anti-adversarial Learning: Desensitizing Prompts for Large Language Models
Xuan Li
Zhe Yin
Xiaodong Gu
Beijun Shen
AAML
MU
60
0
0
25 Apr 2025
Can Language Models Follow Multiple Turns of Entangled Instructions?
Chi Han
ELM
LRM
51
1
0
17 Mar 2025
On the Impact of Noise in Differentially Private Text Rewriting
Stephen Meisenbacher
Maulik Chevli
Florian Matthes
60
0
0
31 Jan 2025
On the Vulnerability of Text Sanitization
Meng Tong
Kejiang Chen
Xiaojian Yuang
Xiaozhong Liu
Wenbo Zhang
Nenghai Yu
Jie Zhang
52
0
0
22 Oct 2024
Reconstruction of Differentially Private Text Sanitization via Large Language Models
Shuchao Pang
Zhigang Lu
Haoran Wang
Peng Fu
Yongbin Zhou
Minhui Xue
AAML
61
4
0
16 Oct 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
Fengyu Gao
Ruida Zhou
T. Wang
Cong Shen
Jing Yang
37
2
0
15 Oct 2024
TAROT: Task-Oriented Authorship Obfuscation Using Policy Optimization Methods
Gabriel Loiseau
Damien Sileo
Damien Riquet
Maxime Meyer
Marc Tommasi
46
0
0
31 Jul 2024
IDT: Dual-Task Adversarial Attacks for Privacy Protection
Pedro Faustini
Shakila Mahjabin Tonni
Annabelle McIver
Qiongkai Xu
Mark Dras
SILM
AAML
52
0
0
28 Jun 2024
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human
Shuo Huang
William MacLean
Xiaoxi Kang
Anqi Wu
Lizhen Qu
Qiongkai Xu
Zhuang Li
Xingliang Yuan
Gholamreza Haffari
35
0
0
06 Jun 2024
Delving into Differentially Private Transformer
Youlong Ding
Xueyang Wu
Yining Meng
Yonggang Luo
Hao Wang
Weike Pan
39
5
0
28 May 2024
Privacy Preserving Prompt Engineering: A Survey
Kennedy Edemacu
Xintao Wu
49
18
0
09 Apr 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
Shenglai Zeng
Jiankun Zhang
Pengfei He
Yue Xing
Yiding Liu
...
Jie Ren
Shuaiqiang Wang
Dawei Yin
Yi Chang
Jiliang Tang
SILM
44
68
0
23 Feb 2024
ConfusionPrompt: Practical Private Inference for Online Large Language Models
Peihua Mai
Ran Yan
Rui Ye
Youjia Yang
Yinchuan Li
Yan Pang
20
1
0
30 Dec 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Bo-wen Li
Zhangyang Wang
48
29
0
27 Nov 2023
Large Language Models are Zero-Shot Reasoners
Takeshi Kojima
S. Gu
Machel Reid
Yutaka Matsuo
Yusuke Iwasawa
ReLM
LRM
328
4,077
0
24 May 2022
Differentially Private Fine-tuning of Language Models
Da Yu
Saurabh Naik
A. Backurs
Sivakanth Gopi
Huseyin A. Inan
...
Y. Lee
Andre Manoel
Lukas Wutschitz
Sergey Yekhanin
Huishuai Zhang
134
347
0
13 Oct 2021
TEM: High Utility Metric Differential Privacy on Text
Ricardo Silva Carvalho
Theodore Vasiloudis
Oluwaseyi Feyisetan
39
36
0
16 Jul 2021
Extracting Training Data from Large Language Models
Nicholas Carlini
Florian Tramèr
Eric Wallace
Matthew Jagielski
Ariel Herbert-Voss
...
Tom B. Brown
D. Song
Ulfar Erlingsson
Alina Oprea
Colin Raffel
MLAU
SILM
290
1,824
0
14 Dec 2020
1