Extracting Spatiotemporal Data from Gradients with Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Lele, Cao, Yang, Jiang, Renhe, Taura, Kenjiro, Shen, Yulong, Li, Sheng, Yoshikawa, Masatoshi |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks
by: Zheng, Lele, et al.
Published: (2024)
by: Zheng, Lele, et al.
Published: (2024)
Differentially Private Subspace Fine-Tuning for Large Language Models
by: Zheng, Lele, et al.
Published: (2026)
by: Zheng, Lele, et al.
Published: (2026)
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
by: Takagi, Shun, et al.
Published: (2024)
by: Takagi, Shun, et al.
Published: (2024)
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
by: Kato, Fumiyuki, et al.
Published: (2023)
by: Kato, Fumiyuki, et al.
Published: (2023)
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
by: Zheng, Shuyuan, et al.
Published: (2025)
by: Zheng, Shuyuan, et al.
Published: (2025)
Secure Shapley Value for Cross-Silo Federated Learning (Technical Report)
by: Zheng, Shuyuan, et al.
Published: (2022)
by: Zheng, Shuyuan, et al.
Published: (2022)
Signal Watermark on Large Language Models
by: Xu, Zhenyu, et al.
Published: (2024)
by: Xu, Zhenyu, et al.
Published: (2024)
"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
by: Shen, Xinyue, et al.
Published: (2023)
by: Shen, Xinyue, et al.
Published: (2023)
The Challenge of Identifying the Origin of Black-Box Large Language Models
by: Yang, Ziqing, et al.
Published: (2025)
by: Yang, Ziqing, et al.
Published: (2025)
Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
by: Akkus, Atilla, et al.
Published: (2024)
by: Akkus, Atilla, et al.
Published: (2024)
Scalable Fingerprinting of Large Language Models
by: Nasery, Anshul, et al.
Published: (2025)
by: Nasery, Anshul, et al.
Published: (2025)
AttnDiff: Attention-based Differential Fingerprinting for Large Language Models
by: Zhang, Haobo, et al.
Published: (2026)
by: Zhang, Haobo, et al.
Published: (2026)
Efficient Jailbreaking of Large Models by Freeze Training: Lower Layers Exhibit Greater Sensitivity to Harmful Content
by: Shen, Hongyuan, et al.
Published: (2025)
by: Shen, Hongyuan, et al.
Published: (2025)
SimMark: A Robust Sentence-Level Similarity-Based Watermarking Algorithm for Large Language Models
by: Dabiriaghdam, Amirhossein, et al.
Published: (2025)
by: Dabiriaghdam, Amirhossein, et al.
Published: (2025)
Membership Inference Attacks on Large-Scale Models: A Survey
by: Wu, Hengyu, et al.
Published: (2025)
by: Wu, Hengyu, et al.
Published: (2025)
Model-Guardian: Protecting against Data-Free Model Stealing Using Gradient Representations and Deceptive Predictions
by: Yang, Yunfei, et al.
Published: (2025)
by: Yang, Yunfei, et al.
Published: (2025)
Backdooring Masked Diffusion Language Models
by: Cao, Daniel Yiming, et al.
Published: (2026)
by: Cao, Daniel Yiming, et al.
Published: (2026)
BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
by: Xiang, Zhen, et al.
Published: (2024)
by: Xiang, Zhen, et al.
Published: (2024)
SilentStriker:Toward Stealthy Bit-Flip Attacks on Large Language Models
by: Xu, Haotian, et al.
Published: (2025)
by: Xu, Haotian, et al.
Published: (2025)
Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models
by: Mithsara, W. K. M, et al.
Published: (2025)
by: Mithsara, W. K. M, et al.
Published: (2025)
Model Inversion Attacks on Llama 3: Extracting PII from Large Language Models
by: Sivashanmugam, Sathesh P.
Published: (2025)
by: Sivashanmugam, Sathesh P.
Published: (2025)
Pharmacist: Safety Alignment Data Curation for Large Language Models against Harmful Fine-tuning
by: Liu, Guozhi, et al.
Published: (2025)
by: Liu, Guozhi, et al.
Published: (2025)
Local Differential Privacy is Not Enough: A Sample Reconstruction Attack against Federated Learning with Local Differential Privacy
by: You, Zhichao, et al.
Published: (2025)
by: You, Zhichao, et al.
Published: (2025)
FedSpaLLM: Federated Pruning of Large Language Models
by: Bai, Guangji, et al.
Published: (2024)
by: Bai, Guangji, et al.
Published: (2024)
Adversarial Attack on Large Language Models using Exponentiated Gradient Descent
by: Biswas, Sajib, et al.
Published: (2025)
by: Biswas, Sajib, et al.
Published: (2025)
Adaptive Backdoor Attacks with Reasonable Constraints on Graph Neural Networks
by: Dong, Xuewen, et al.
Published: (2025)
by: Dong, Xuewen, et al.
Published: (2025)
zkLLM: Zero Knowledge Proofs for Large Language Models
by: Sun, Haochen, et al.
Published: (2024)
by: Sun, Haochen, et al.
Published: (2024)
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning
by: Fan, Mingyuan, et al.
Published: (2022)
by: Fan, Mingyuan, et al.
Published: (2022)
Adaptive Backtracking for Privacy Protection in Large Language Models
by: Yao, Zhihao, et al.
Published: (2025)
by: Yao, Zhihao, et al.
Published: (2025)
DeepInception: Hypnotize Large Language Model to Be Jailbreaker
by: Li, Xuan, et al.
Published: (2023)
by: Li, Xuan, et al.
Published: (2023)
DictPFL: Efficient and Private Federated Learning on Encrypted Gradients
by: Xue, Jiaqi, et al.
Published: (2025)
by: Xue, Jiaqi, et al.
Published: (2025)
Differentially Private Preference Data Synthesis for Large Language Model Alignment
by: Gao, Fengyu, et al.
Published: (2026)
by: Gao, Fengyu, et al.
Published: (2026)
Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)
by: Huang, Hai, et al.
Published: (2023)
Gradient-Free Privacy Leakage in Federated Language Models through Selective Weight Tampering
by: Rashid, Md Rafi Ur, et al.
Published: (2023)
by: Rashid, Md Rafi Ur, et al.
Published: (2023)
Model-Editing-Based Jailbreak against Safety-aligned Large Language Models
by: Li, Yuxi, et al.
Published: (2024)
by: Li, Yuxi, et al.
Published: (2024)
Knowledge-Driven Multi-Turn Jailbreaking on Large Language Models
by: Li, Songze, et al.
Published: (2026)
by: Li, Songze, et al.
Published: (2026)
Prompt Obfuscation for Large Language Models
by: Pape, David, et al.
Published: (2024)
by: Pape, David, et al.
Published: (2024)
On Large Language Model Continual Unlearning
by: Gao, Chongyang, et al.
Published: (2024)
by: Gao, Chongyang, et al.
Published: (2024)
Prompt Public Large Language Models to Synthesize Data for Private On-device Applications
by: Wu, Shanshan, et al.
Published: (2024)
by: Wu, Shanshan, et al.
Published: (2024)
Towards Benchmarking Privacy Vulnerabilities in Selective Forgetting with Large Language Models
by: Qian, Wei, et al.
Published: (2025)
by: Qian, Wei, et al.
Published: (2025)
Similar Items
-
Enhancing Privacy of Spatiotemporal Federated Learning against Gradient Inversion Attacks
by: Zheng, Lele, et al.
Published: (2024) -
Differentially Private Subspace Fine-Tuning for Large Language Models
by: Zheng, Lele, et al.
Published: (2026) -
HRNet: Differentially Private Hierarchical and Multi-Resolution Network for Human Mobility Data Synthesization
by: Takagi, Shun, et al.
Published: (2024) -
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
by: Kato, Fumiyuki, et al.
Published: (2023) -
Data Overvaluation Attack and Truthful Data Valuation in Federated Learning
by: Zheng, Shuyuan, et al.
Published: (2025)