Locally Differentially Private In-Context Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Chunyan, Sun, Keke, Zhao, Wenhao, Zhou, Haibo, Jiang, Lixin, Song, Shaoyang, Zhou, Chunlai |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
by: Gao, Fengyu, et al.
Published: (2024)
by: Gao, Fengyu, et al.
Published: (2024)
ClawTrap: A MITM-Based Red-Teaming Framework for Real-World OpenClaw Security Evaluation
by: Zhao, Haochen, et al.
Published: (2026)
by: Zhao, Haochen, et al.
Published: (2026)
Differentially Private In-Context Learning with Nearest Neighbor Search
by: Koskela, Antti, et al.
Published: (2025)
by: Koskela, Antti, et al.
Published: (2025)
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
by: Wen, Ming, et al.
Published: (2025)
by: Wen, Ming, et al.
Published: (2025)
Differentially Private Worst-group Risk Minimization
by: Zhou, Xinyu, et al.
Published: (2024)
by: Zhou, Xinyu, et al.
Published: (2024)
DP-TabICL: In-Context Learning with Differentially Private Tabular Data
by: Carey, Alycia N., et al.
Published: (2024)
by: Carey, Alycia N., et al.
Published: (2024)
A Survey on Private Transformer Inference
by: Li, Yang, et al.
Published: (2024)
by: Li, Yang, et al.
Published: (2024)
A Method for Enhancing the Safety of Large Model Generation Based on Multi-dimensional Attack and Defense
by: Zhai, Keke
Published: (2024)
by: Zhai, Keke
Published: (2024)
Private Transformer Inference in MLaaS: A Survey
by: Li, Yang, et al.
Published: (2025)
by: Li, Yang, et al.
Published: (2025)
Provable Differentially Private Computation of the Cross-Attention Mechanism
by: Ke, Yekun, et al.
Published: (2024)
by: Ke, Yekun, et al.
Published: (2024)
From Easy to Hard: Building a Shortcut for Differentially Private Image Synthesis
by: Li, Kecen, et al.
Published: (2025)
by: Li, Kecen, et al.
Published: (2025)
Differentially Private Synthetic Data Generation Using Context-Aware GANs
by: Kotal, Anantaa, et al.
Published: (2025)
by: Kotal, Anantaa, et al.
Published: (2025)
VaultGemma: A Differentially Private Gemma Model
by: Sinha, Amer, et al.
Published: (2025)
by: Sinha, Amer, et al.
Published: (2025)
Protecting Private Code in IDE Autocomplete using Differential Privacy
by: Grigorenko, Evgeny, et al.
Published: (2026)
by: Grigorenko, Evgeny, et al.
Published: (2026)
Comet: Accelerating Private Inference for Large Language Model by Predicting Activation Sparsity
by: Yan, Guang, et al.
Published: (2025)
by: Yan, Guang, et al.
Published: (2025)
Reconstruction of Differentially Private Text Sanitization via Large Language Models
by: Pang, Shuchao, et al.
Published: (2024)
by: Pang, Shuchao, et al.
Published: (2024)
DPImageBench: A Unified Benchmark for Differentially Private Image Synthesis
by: Gong, Chen, et al.
Published: (2025)
by: Gong, Chen, et al.
Published: (2025)
Differentially Private Rankings via Outranking Methods and Performance Data Aggregation
by: Del Vasto-Terrientes, Luis
Published: (2025)
by: Del Vasto-Terrientes, Luis
Published: (2025)
Differentially Private Deep Model-Based Reinforcement Learning
by: Rio, Alexandre, et al.
Published: (2024)
by: Rio, Alexandre, et al.
Published: (2024)
Differentially Private Model Merging
by: Yin, Qichuan, et al.
Published: (2026)
by: Yin, Qichuan, et al.
Published: (2026)
You Told Me to Do It: Measuring Instructional Text-induced Private Data Leakage in LLM Agents
by: Kao, Ching-Yu, et al.
Published: (2026)
by: Kao, Ching-Yu, et al.
Published: (2026)
Differentially Private Block-wise Gradient Shuffle for Deep Learning
by: Zagardo, David
Published: (2024)
by: Zagardo, David
Published: (2024)
Privacy-Preserving Federated Learning with Differentially Private Hyperdimensional Computing
by: Piran, Fardin Jalil, et al.
Published: (2024)
by: Piran, Fardin Jalil, et al.
Published: (2024)
On Differentially Private String Distances
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
by: Hu, Jerry Yao-Chieh, et al.
Published: (2024)
Dual-Priv Pruning : Efficient Differential Private Fine-Tuning in Multimodal Large Language Models
by: Wei, Qianshan, et al.
Published: (2025)
by: Wei, Qianshan, et al.
Published: (2025)
Evaluating Differentially Private Generation of Domain-Specific Text
by: Sun, Yidan, et al.
Published: (2025)
by: Sun, Yidan, et al.
Published: (2025)
Privacy-Preserving Decentralized Federated Learning via Explainable Adaptive Differential Privacy
by: Piran, Fardin Jalil, et al.
Published: (2025)
by: Piran, Fardin Jalil, et al.
Published: (2025)
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
by: Ly, Timothée, et al.
Published: (2024)
by: Ly, Timothée, et al.
Published: (2024)
Differentially Private Retrieval-Augmented Generation
by: Tang, Tingting, et al.
Published: (2026)
by: Tang, Tingting, et al.
Published: (2026)
Clients Collaborate: Flexible Differentially Private Federated Learning with Guaranteed Improvement of Utility-Privacy Trade-off
by: Li, Yuecheng, et al.
Published: (2024)
by: Li, Yuecheng, et al.
Published: (2024)
Differentially Private and Communication Efficient Large Language Model Split Inference via Stochastic Quantization and Soft Prompt
by: Gu, Yujie, et al.
Published: (2026)
by: Gu, Yujie, et al.
Published: (2026)
ICON: Intent-Context Coupling for Efficient Multi-Turn Jailbreak Attack
by: Lin, Xingwei, et al.
Published: (2026)
by: Lin, Xingwei, et al.
Published: (2026)
Tackling the Local Bias in Federated Graph Learning
by: Zhang, Binchi, et al.
Published: (2021)
by: Zhang, Binchi, et al.
Published: (2021)
A2-DIDM: Privacy-preserving Accumulator-enabled Auditing for Distributed Identity of DNN Model
by: Xie, Tianxiu, et al.
Published: (2024)
by: Xie, Tianxiu, et al.
Published: (2024)
DiffuseTrace: A Transparent and Flexible Watermarking Scheme for Latent Diffusion Model
by: Lei, Liangqi, et al.
Published: (2024)
by: Lei, Liangqi, et al.
Published: (2024)
Fluent: Round-efficient Secure Aggregation for Private Federated Learning
by: Li, Xincheng, et al.
Published: (2024)
by: Li, Xincheng, et al.
Published: (2024)
RQP-SGD: Differential Private Machine Learning through Noisy SGD and Randomized Quantization
by: Feng, Ce, et al.
Published: (2024)
by: Feng, Ce, et al.
Published: (2024)
Improved Algorithms for Differentially Private Language Model Alignment
by: Chen, Keyu, et al.
Published: (2025)
by: Chen, Keyu, et al.
Published: (2025)
Differentially Private Iterative Screening Rules for Linear Regression
by: Khanna, Amol, et al.
Published: (2025)
by: Khanna, Amol, et al.
Published: (2025)
Differentially Private Reinforcement Learning with Self-Play
by: Qiao, Dan, et al.
Published: (2024)
by: Qiao, Dan, et al.
Published: (2024)
Similar Items
-
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
by: Gao, Fengyu, et al.
Published: (2024) -
ClawTrap: A MITM-Based Red-Teaming Framework for Real-World OpenClaw Security Evaluation
by: Zhao, Haochen, et al.
Published: (2026) -
Differentially Private In-Context Learning with Nearest Neighbor Search
by: Koskela, Antti, et al.
Published: (2025) -
Differentially Private Federated Low Rank Adaptation Beyond Fixed-Matrix
by: Wen, Ming, et al.
Published: (2025) -
Differentially Private Worst-group Risk Minimization
by: Zhou, Xinyu, et al.
Published: (2024)