Differentially Private Publication of Electricity Time Series Data in Smart Grids
Fuente:
arXiv
Saved in:
| Main Authors: | Shaham, Sina, Ghinita, Gabriel, Krishnamachari, Bhaskar, Shahabi, Cyrus |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain
by: Agarwal, Ayush, et al.
Published: (2024)
by: Agarwal, Ayush, et al.
Published: (2024)
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids
by: Ardito, Carmelo, et al.
Published: (2023)
by: Ardito, Carmelo, et al.
Published: (2023)
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
by: Gao, Fengyu, et al.
Published: (2024)
by: Gao, Fengyu, et al.
Published: (2024)
Differentially Private Synthetic Data Release for Topics API Outputs
by: Dick, Travis, et al.
Published: (2025)
by: Dick, Travis, et al.
Published: (2025)
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)
Differentially Private Synthetic Data Generation Using Context-Aware GANs
by: Kotal, Anantaa, et al.
Published: (2025)
by: Kotal, Anantaa, 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)
Differentially Private Model Merging
by: Yin, Qichuan, et al.
Published: (2026)
by: Yin, Qichuan, et al.
Published: (2026)
Enhanced Smart Contract Reputability Analysis using Multimodal Data Fusion on Ethereum
by: Malik, Cyrus, et al.
Published: (2025)
by: Malik, Cyrus, et al.
Published: (2025)
dpmm: Differentially Private Marginal Models, a Library for Synthetic Tabular Data Generation
by: Mahiou, Sofiane, et al.
Published: (2025)
by: Mahiou, Sofiane, et al.
Published: (2025)
Differentially Private Worst-group Risk Minimization
by: Zhou, Xinyu, et al.
Published: (2024)
by: Zhou, Xinyu, et al.
Published: (2024)
Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
by: Efatinasab, Emad, et al.
Published: (2025)
by: Efatinasab, Emad, et al.
Published: (2025)
Unforgeable Watermarks for Language Models via Robust Signatures
by: Lin, Huijia, et al.
Published: (2026)
by: Lin, Huijia, et al.
Published: (2026)
Differentially Private Deep Model-Based Reinforcement Learning
by: Rio, Alexandre, et al.
Published: (2024)
by: Rio, Alexandre, et al.
Published: (2024)
Provable Differentially Private Computation of the Cross-Attention Mechanism
by: Ke, Yekun, et al.
Published: (2024)
by: Ke, Yekun, 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 In-Context Learning with Nearest Neighbor Search
by: Koskela, Antti, et al.
Published: (2025)
by: Koskela, Antti, 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)
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)
A Novel DDPM-based Ensemble Approach for Energy Theft Detection in Smart Grids
by: Yuan, Xun, et al.
Published: (2023)
by: Yuan, Xun, et al.
Published: (2023)
Differentially Private Data Release on Graphs: Inefficiencies and Unfairness
by: Fioretto, Ferdinando, et al.
Published: (2024)
by: Fioretto, Ferdinando, et al.
Published: (2024)
Reconstruction of Differentially Private Text Sanitization via Large Language Models
by: Pang, Shuchao, et al.
Published: (2024)
by: Pang, Shuchao, et al.
Published: (2024)
Smooth Sensitivity for Learning Differentially-Private yet Accurate Rule Lists
by: Ly, Timothée, et al.
Published: (2024)
by: Ly, Timothée, et al.
Published: (2024)
Challenges in Enabling Private Data Valuation
by: Fu, Yiwei, et al.
Published: (2026)
by: Fu, Yiwei, et al.
Published: (2026)
Private-RAG: Answering Multiple Queries with LLMs while Keeping Your Data Private
by: Wu, Ruihan, et al.
Published: (2025)
by: Wu, Ruihan, et al.
Published: (2025)
Too Good to be True? Turn Any Model Differentially Private With DP-Weights
by: Zagardo, David
Published: (2024)
by: Zagardo, David
Published: (2024)
Can Differentially Private Fine-tuning LLMs Protect Against Privacy Attacks?
by: Du, Hao, et al.
Published: (2025)
by: Du, Hao, et al.
Published: (2025)
GraMFedDHAR: Graph Based Multimodal Differentially Private Federated HAR
by: Halder, Labani, et al.
Published: (2025)
by: Halder, Labani, et al.
Published: (2025)
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)
DC-SGD: Differentially Private SGD with Dynamic Clipping through Gradient Norm Distribution Estimation
by: Wei, Chengkun, et al.
Published: (2025)
by: Wei, Chengkun, et al.
Published: (2025)
Differentially Private Distributed Inference
by: Papachristou, Marios, et al.
Published: (2024)
by: Papachristou, Marios, et al.
Published: (2024)
Protect and Extend -- Using GANs for Synthetic Data Generation of Time-Series Medical Records
by: Ashrafi, Navid, et al.
Published: (2024)
by: Ashrafi, Navid, et al.
Published: (2024)
TimeWak: Temporal Chained-Hashing Watermark for Time Series Data
by: Soi, Zhi Wen, et al.
Published: (2025)
by: Soi, Zhi Wen, et al.
Published: (2025)
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)
DR-Encoder: Encode Low-rank Gradients with Random Prior for Large Language Models Differentially Privately
by: Wu, Huiwen, et al.
Published: (2024)
by: Wu, Huiwen, et al.
Published: (2024)
On Mitigating the Utility-Loss in Differentially Private Learning: A new Perspective by a Geometrically Inspired Kernel Approach
by: Kumar, Mohit, et al.
Published: (2023)
by: Kumar, Mohit, et al.
Published: (2023)
A Robust Framework for Secure Cardiovascular Risk Prediction: An Architectural Case Study of Differentially Private Federated Learning
by: Tertulino, Rodrigo, et al.
Published: (2026)
by: Tertulino, Rodrigo, et al.
Published: (2026)
Differentially Private Reinforcement Learning with Self-Play
by: Qiao, Dan, et al.
Published: (2024)
by: Qiao, Dan, et al.
Published: (2024)
Similar Items
-
RiskSEA : A Scalable Graph Embedding for Detecting On-chain Fraudulent Activities on the Ethereum Blockchain
by: Agarwal, Ayush, et al.
Published: (2024) -
Machine-learned Adversarial Attacks against Fault Prediction Systems in Smart Electrical Grids
by: Ardito, Carmelo, et al.
Published: (2023) -
Data-adaptive Differentially Private Prompt Synthesis for In-Context Learning
by: Gao, Fengyu, et al.
Published: (2024) -
Differentially Private Synthetic Data Release for Topics API Outputs
by: Dick, Travis, et al.
Published: (2025) -
DP-TabICL: In-Context Learning with Differentially Private Tabular Data
by: Carey, Alycia N., et al.
Published: (2024)