On the Privacy Risk of In-context Learning

15 November 2024

Papers citing "On the Privacy Risk of In-context Learning"

20 / 20 papers shown

Title
Securing RAG: A Risk Assessment and Mitigation Framework Lukas Ammann Sara Ott Christoph R. Landolt Marco P. Lehmann SILM 36 0 0 13 May 2025
Privacy Risks and Preservation Methods in Explainable Artificial Intelligence: A Scoping Review Sonal Allana Mohan Kankanhalli Rozita Dara 32 0 0 05 May 2025
DP-GPL: Differentially Private Graph Prompt Learning Jing Xu Franziska Boenisch Iyiola Emmanuel Olatunji Adam Dziedzic AAML 58 0 0 13 Mar 2025
Integrating LLMs with ITS: Recent Advances, Potentials, Challenges, and Future Directions Doaa Mahmud Hadeel Hajmohamed Shamma Almentheri Shamma Alqaydi Lameya Aldhaheri R. A. Khalil Nasir Saeed AI4TS 51 5 0 08 Jan 2025
Synthetic Data Privacy Metrics Amy Steier Lipika Ramaswamy Andre Manoel Alexa Haushalter 51 0 0 08 Jan 2025
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 87 1 0 09 Oct 2024
Confidential Prompting: Protecting User Prompts from Cloud LLM Providers In Gim Caihua Li Lin Zhong 52 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 48 15 0 30 Jul 2024
Privacy Preserving Prompt Engineering: A Survey Kennedy Edemacu Xintao Wu 58 18 0 09 Apr 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 48 29 0 27 Nov 2023
Text Revealer: Private Text Reconstruction via Model Inversion Attacks against Transformers Ruisi Zhang Seira Hidano F. Koushanfar SILM 71 26 0 21 Sep 2022
Memorization in NLP Fine-tuning Methods Fatemehsadat Mireshghallah Archit Uniyal Tianhao Wang David Evans Taylor Berg-Kirkpatrick AAML 65 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 238 808 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 134 350 0 13 Oct 2021
How BPE Affects Memorization in Transformers Eugene Kharitonov Marco Baroni Dieuwke Hupkes 169 32 0 06 Oct 2021
The Power of Scale for Parameter-Efficient Prompt Tuning Brian Lester Rami Al-Rfou Noah Constant VPVLM 280 3,872 0 18 Apr 2021
What Makes Good In-Context Examples for GPT- $3$ ? Jiachang Liu Dinghan Shen Yizhe Zhang Bill Dolan Lawrence Carin Weizhu Chen AAML RALM 275 1,313 0 17 Jan 2021
Making Pre-trained Language Models Better Few-shot Learners Tianyu Gao Adam Fisch Danqi Chen 243 1,924 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 290 1,824 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 449 2,589 0 03 Sep 2019