Communities
Connect sessions
AI calendar
Organizations
Join Slack
Contact Sales
Search
Open menu
Home
Papers
2309.11765
Cited By
v1
v2 (latest)
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation
International Conference on Learning Representations (ICLR), 2023
21 September 2023
Xinyu Tang
Richard Shin
Huseyin A. Inan
Andre Manoel
Fatemehsadat Mireshghallah
Zinan Lin
Sivakanth Gopi
Janardhan Kulkarni
Robert Sim
Re-assign community
ArXiv (abs)
PDF
HTML
Papers citing
"Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation"
39 / 39 papers shown
Title
Tight and Practical Privacy Auditing for Differentially Private In-Context Learning
Yuyang Xia
Ruixuan Liu
Li Xiong
64
0
0
17 Nov 2025
Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private
Ruihan Wu
Erchi Wang
Zhiyuan Zhang
Yu-Xiang Wang
SILM
180
0
0
10 Nov 2025
Differentially Private In-Context Learning with Nearest Neighbor Search
A. Koskela
Tejas D. Kulkarni
Laith Zumot
100
0
0
06 Nov 2025
ACTG-ARL: Differentially Private Conditional Text Generation with RL-Boosted Control
Yuzheng Hu
Ryan McKenna
Da Yu
Shanshan Wu
Han Zhao
Zheng Xu
Peter Kairouz
SyDa
126
0
0
21 Oct 2025
Differentially Private Synthetic Text Generation for Retrieval-Augmented Generation (RAG)
Junki Mori
Kazuya Kakizaki
Taiki Miyagawa
Jun Sakuma
SILM
SyDa
156
0
0
08 Oct 2025
SynBench: A Benchmark for Differentially Private Text Generation
Yidan Sun
Viktor Schlegel
Srinivasan Nandakumar
Iqra Zahid
Yuping Wu
...
Jie Zhang
Warren Del-Pinto
Goran Nenadic
S. Lam
Anil A Bharath
SyDa
113
0
0
18 Sep 2025
Privacy Preserving In-Context-Learning Framework for Large Language Models
Bishnu Bhusal
Manoj Acharya
R. Kaur
Colin Samplawski
Anirban Roy
Adam D. Cobb
Rohit Chadha
Susmit Jha
SyDa
264
0
0
17 Sep 2025
Beyond Data Privacy: New Privacy Risks for Large Language Models
Yuntao Du
Zitao Li
Ninghui Li
Bolin Ding
PILM
ELM
211
0
0
16 Sep 2025
Public Data Assisted Differentially Private In-Context Learning
Seongho Joo
Hyukhun Koh
Kyomin Jung
96
0
0
13 Sep 2025
Struct-Bench: A Benchmark for Differentially Private Structured Text Generation
Shuaiqi Wang
Vikas Raunak
A. Backurs
Victor Reis
Pei Zhou
Sihao Chen
Longqi Yang
Zinan Lin
Sergey Yekhanin
Giulia Fanti
SyDa
194
1
0
12 Sep 2025
SynthTextEval: Synthetic Text Data Generation and Evaluation for High-Stakes Domains
Krithika Ramesh
Daniel Smolyak
Zihao Zhao
Nupoor Gandhi
Ritu Agarwal
Margrét V. Bjarnadóttir
Anjalie Field
SyDa
ELM
334
1
0
09 Jul 2025
Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
Xun Wang
Jing Xu
Franziska Boenisch
Michael Backes
Christopher A. Choquette-Choo
Adam Dziedzic
AAML
170
0
0
19 Jun 2025
PPMI: Privacy-Preserving LLM Interaction with Socratic Chain-of-Thought Reasoning and Homomorphically Encrypted Vector Databases
Yubeen Bae
Minchan Kim
Jaejin Lee
Sangbum Kim
Jaehyung Kim
Yejin Choi
Niloofar Mireshghallah
108
3
0
19 Jun 2025
SoK: The Privacy Paradox of Large Language Models: Advancements, Privacy Risks, and Mitigation
ACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025
Yashothara Shanmugarasa
Ming Ding
M. Chamikara
Thierry Rakotoarivelo
PILM
AILaw
338
4
0
15 Jun 2025
Safeguarding Privacy of Retrieval Data against Membership Inference Attacks: Is This Query Too Close to Home?
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2025
Yujin Choi
Youngjoo Park
Junyoung Byun
Jaewook Lee
Jinseong Park
AAML
187
1
0
28 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
263
2
0
05 May 2025
A Framework for Situating Innovations, Opportunities, and Challenges in Advancing Vertical Systems with Large AI Models
Gaurav Verma
Jiawei Zhou
Mohit Chandra
Srijan Kumar
M. D. Choudhury
288
3
0
03 Apr 2025
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
Chen Gong
Kecen Li
Zinan Lin
Tianhao Wang
502
9
0
18 Mar 2025
Synthesizing Privacy-Preserving Text Data via Finetuning without Finetuning Billion-Scale LLMs
Bowen Tan
Zheng Xu
Eric P. Xing
Zhiting Hu
Shanshan Wu
SyDa
326
7
0
16 Mar 2025
Privacy Auditing of Large Language Models
International Conference on Learning Representations (ICLR), 2025
Ashwinee Panda
Xinyu Tang
Milad Nasr
Christopher A. Choquette-Choo
Prateek Mittal
PILM
287
17
0
09 Mar 2025
DP-GTR: Differentially Private Prompt Protection via Group Text Rewriting
Mingchen Li
Heng Fan
Song Fu
Junhua Ding
Yunhe Feng
192
2
0
06 Mar 2025
Protecting Users From Themselves: Safeguarding Contextual Privacy in Interactions with Conversational Agents
Annual Meeting of the Association for Computational Linguistics (ACL), 2025
Ivoline Ngong
Swanand Kadhe
Hao Wang
K. Murugesan
Justin D. Weisz
Amit Dhurandhar
Karthikeyan N. Ramamurthy
219
12
0
22 Feb 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
Shenglai Zeng
Jiankun Zhang
Pengfei He
J. Ren
Tianqi Zheng
Hanqing Lu
Han Xu
Hui Liu
Yue Xing
Shucheng Zhou
339
23
0
21 Feb 2025
The Canary's Echo: Auditing Privacy Risks of LLM-Generated Synthetic Text
Matthieu Meeus
Lukas Wutschitz
Santiago Zanella Béguelin
Shruti Tople
Reza Shokri
377
6
0
19 Feb 2025
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
International Conference on Learning Representations (ICLR), 2024
Fengyu Gao
Ruida Zhou
T. Wang
Cong Shen
Jing Yang
241
5
0
15 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
495
1
0
09 Oct 2024
Confidential Prompting: Privacy-preserving LLM Inference on Cloud
Caihua Li
In Gim
Lin Zhong
420
4
0
27 Sep 2024
AI Delegates with a Dual Focus: Ensuring Privacy and Strategic Self-Disclosure
Xi Chen
Zhiyang Zhang
Fangkai Yang
Xiaoting Qin
Chao Du
Xi Cheng
Hangxin Liu
Qingwei Lin
Saravan Rajmohan
Dongmei Zhang
206
4
0
26 Sep 2024
NetDPSyn: Synthesizing Network Traces under Differential Privacy
ACM/SIGCOMM Internet Measurement Conference (IMC), 2024
Danyu Sun
Joann Qiongna Chen
Chen Gong
Tianhao Wang
Zhou Li
171
4
0
08 Sep 2024
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
International Conference on Computational Linguistics (COLING), 2024
Cheng Wang
Yiwei Wang
Bryan Hooi
Yujun Cai
Nanyun Peng
Kai-Wei Chang
332
8
0
05 Sep 2024
ReCaLL: Membership Inference via Relative Conditional Log-Likelihoods
Roy Xie
Junlin Wang
Ruomin Huang
Minxing Zhang
Rong Ge
Jian Pei
Neil Zhenqiang Gong
Bhuwan Dhingra
MIALM
464
34
0
23 Jun 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
Xinyu Tang
Ashwinee Panda
Milad Nasr
Saeed Mahloujifar
Prateek Mittal
485
36
0
09 Jan 2024
Hot PATE: Private Aggregation of Distributions for Diverse Task
Edith Cohen
Benjamin Cohen-Wang
Xin Lyu
Jelani Nelson
Tamas Sarlos
Uri Stemmer
441
5
0
04 Dec 2023
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
International Conference on Learning Representations (ICLR), 2023
Junyuan Hong
Jiachen T. Wang
Chenhui Zhang
Zhangheng Li
Yue Liu
Zinan Lin
425
54
0
27 Nov 2023
InferDPT: Privacy-Preserving Inference for Black-box Large Language Model
Meng Tong
Kejiang Chen
Jie Zhang
Yuang Qi
Weiming Zhang
Neng H. Yu
Minlie Huang
Zhikun Zhang
SILM
591
6
0
18 Oct 2023
Identifying and Mitigating Privacy Risks Stemming from Language Models: A Survey
Victoria Smith
Ali Shahin Shamsabadi
Carolyn Ashurst
Adrian Weller
PILM
348
40
0
27 Sep 2023
Differentially Private Synthetic Data via Foundation Model APIs 1: Images
International Conference on Learning Representations (ICLR), 2023
Zinan Lin
Sivakanth Gopi
Janardhan Kulkarni
Harsha Nori
Sergey Yekhanin
608
52
0
24 May 2023
Privacy-Preserving In-Context Learning for Large Language Models
International Conference on Learning Representations (ICLR), 2023
Tong Wu
Ashwinee Panda
Jiachen T. Wang
Prateek Mittal
320
45
0
02 May 2023
Differentially Private Natural Language Models: Recent Advances and Future Directions
Findings (Findings), 2023
Lijie Hu
Ivan Habernal
Lei Shen
Haiyan Zhao
AAML
180
23
0
22 Jan 2023
1