Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE

30 March 2022

Papers citing "Adaptive Private-K-Selection with Adaptive K and Application to Multi-label PATE"

9 / 9 papers shown

Title
Open LLMs are Necessary for Current Private Adaptations and Outperform their Closed Alternatives Vincent Hanke Tom Blanchard Franziska Boenisch Iyiola Emmanuel Olatunji Michael Backes Adam Dziedzic PILM 54 3 0 02 Nov 2024
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning Fengyu Gao Ruida Zhou T. Wang Cong Shen Jing Yang 31 2 0 15 Oct 2024
Privacy Profiles for Private Selection Antti Koskela Rachel Redberg Yu-Xiang Wang 27 1 0 09 Feb 2024
Permute-and-Flip: An optimally stable and watermarkable decoder for LLMs Xuandong Zhao Lei Li Yu-Xiang Wang 55 10 0 08 Feb 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
Privacy-Preserving In-Context Learning for Large Language Models Tong Wu Ashwinee Panda Jiachen T. Wang Prateek Mittal 51 29 0 02 May 2023
Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding Yuke Hu Wei Liang Ruofan Wu Kai Y. Xiao Weiqiang Wang Xiaochen Li Jinfei Liu Zhan Qin 20 8 0 06 Apr 2023
An Ensemble Teacher-Student Learning Approach with Poisson Sub-sampling to Differential Privacy Preserving Speech Recognition Chao-Han Huck Yang Jun Qi Sabato Marco Siniscalchi Chin-Hui Lee 21 4 0 12 Oct 2022
A Joint Exponential Mechanism For Differentially Private Top- $k$ Jennifer Gillenwater Matthew Joseph Andrés Munoz Medina Mónica Ribero 99 14 0 28 Jan 2022