Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2411.10512
Cited By
On the Privacy Risk of In-context Learning
15 November 2024
Haonan Duan
Adam Dziedzic
Mohammad Yaghini
Nicolas Papernot
Franziska Boenisch
SILM
PILM
Re-assign community
ArXiv
PDF
HTML
Papers citing
"On the Privacy Risk of In-context Learning"
16 / 16 papers shown
Title
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review
Sonal Allana
Mohan Kankanhalli
Rozita Dara
23
0
0
05 May 2025
DP-GPL: Differentially Private Graph Prompt Learning
Jing Xu
Franziska Boenisch
Iyiola Emmanuel Olatunji
Adam Dziedzic
AAML
45
0
0
13 Mar 2025
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond
Shanshan Han
64
1
0
09 Oct 2024
Confidential Prompting: Protecting User Prompts from Cloud LLM Providers
In Gim
Caihua Li
Lin Zhong
35
2
0
27 Sep 2024
Breaking Agents: Compromising Autonomous LLM Agents Through Malfunction Amplification
Boyang Zhang
Yicong Tan
Yun Shen
Ahmed Salem
Michael Backes
Savvas Zannettou
Yang Zhang
LLMAG
AAML
38
12
0
30 Jul 2024
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
22
29
0
27 Nov 2023
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers
Ruisi Zhang
Seira Hidano
F. Koushanfar
SILM
58
26
0
21 Sep 2022
Memorization in NLP Fine-tuning Methods
Fatemehsadat Mireshghallah
Archit Uniyal
Tianhao Wang
David E. Evans
Taylor Berg-Kirkpatrick
AAML
55
39
0
25 May 2022
P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks
Xiao Liu
Kaixuan Ji
Yicheng Fu
Weng Lam Tam
Zhengxiao Du
Zhilin Yang
Jie Tang
VLM
234
780
0
14 Oct 2021
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
128
258
0
13 Oct 2021
How BPE Affects Memorization in Transformers
Eugene Kharitonov
Marco Baroni
Dieuwke Hupkes
161
31
0
06 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning
Brian Lester
Rami Al-Rfou
Noah Constant
VPVLM
275
3,784
0
18 Apr 2021
What Makes Good In-Context Examples for GPT-
3
3
3
?
Jiachang Liu
Dinghan Shen
Yizhe Zhang
Bill Dolan
Lawrence Carin
Weizhu Chen
AAML
RALM
275
1,296
0
17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners
Tianyu Gao
Adam Fisch
Danqi Chen
238
1,898
0
31 Dec 2020
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
264
1,798
0
14 Dec 2020
Language Models as Knowledge Bases?
Fabio Petroni
Tim Rocktaschel
Patrick Lewis
A. Bakhtin
Yuxiang Wu
Alexander H. Miller
Sebastian Riedel
KELM
AI4MH
393
2,216
0
03 Sep 2019
1