Data Privacy Preservation on the Internet of Things
Fuente:
arXiv
Saved in:
| Main Authors: | Sen, Jaydip, Dasgupta, Subhasis |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adversarial Text Generation with Dynamic Contextual Perturbation
by: Waghela, Hetvi, et al.
Published: (2025)
by: Waghela, Hetvi, et al.
Published: (2025)
Security and Privacy Management of IoT Using Quantum Computing
by: Sen, Jaydip
Published: (2025)
by: Sen, Jaydip
Published: (2025)
Information Security and Privacy in the Digital World: Some Selected Topics
by: Sen, Jaydip, et al.
Published: (2024)
by: Sen, Jaydip, et al.
Published: (2024)
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Enhancing Adversarial Text Attacks on BERT Models with Projected Gradient Descent
by: Waghela, Hetvi, et al.
Published: (2024)
by: Waghela, Hetvi, et al.
Published: (2024)
Privacy-Preserving Fair Synthetic Tabular Data
by: Sarmin, Fatima J., et al.
Published: (2025)
by: Sarmin, Fatima J., et al.
Published: (2025)
Diverse Community Data for Benchmarking Data Privacy Algorithms
by: Sen, Aniruddha, et al.
Published: (2023)
by: Sen, Aniruddha, et al.
Published: (2023)
Scalable and Privacy-Preserving Synthetic Data Generation on Decentralised Web
by: Ramesh, Vishal, et al.
Published: (2023)
by: Ramesh, Vishal, et al.
Published: (2023)
Privacy-Preserving Statistical Data Generation: Application to Sepsis Detection
by: Macias-Fassio, Eric, et al.
Published: (2024)
by: Macias-Fassio, Eric, et al.
Published: (2024)
Machine Learning-Assisted Intrusion Detection for Enhancing Internet of Things Security
by: Esmaeili, Mona, et al.
Published: (2024)
by: Esmaeili, Mona, et al.
Published: (2024)
Privacy in Federated Learning
by: Sen, Jaydip, et al.
Published: (2024)
by: Sen, Jaydip, et al.
Published: (2024)
Privacy-Preserving Analytics for Smart Meter (AMI) Data: A Hybrid Approach to Comply with CPUC Privacy Regulations
by: Westrich, Benjamin
Published: (2025)
by: Westrich, Benjamin
Published: (2025)
Privacy Preserving Data Imputation via Multi-party Computation for Medical Applications
by: Jentsch, Julia, et al.
Published: (2024)
by: Jentsch, Julia, et al.
Published: (2024)
Agentic Privacy-Preserving Machine Learning
by: Zhang, Mengyu, et al.
Published: (2025)
by: Zhang, Mengyu, et al.
Published: (2025)
Preserving Privacy and Security in Federated Learning
by: Nguyen, Truc, et al.
Published: (2022)
by: Nguyen, Truc, et al.
Published: (2022)
SafeSynthDP: Leveraging Large Language Models for Privacy-Preserving Synthetic Data Generation Using Differential Privacy
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
by: Nahid, Md Mahadi Hasan, et al.
Published: (2024)
A User-Centric, Privacy-Preserving, and Verifiable Ecosystem for Personal Data Management and Utilization
by: Zafar, Osama, et al.
Published: (2025)
by: Zafar, Osama, et al.
Published: (2025)
Empowering Digital Agriculture: A Privacy-Preserving Framework for Data Sharing and Collaborative Research
by: Zafar, Osama, et al.
Published: (2025)
by: Zafar, Osama, et al.
Published: (2025)
Privacy-Preserving Inference for Quantized BERT Models
by: Lu, Tianpei, et al.
Published: (2025)
by: Lu, Tianpei, et al.
Published: (2025)
Privacy Preserving Reinforcement Learning for Population Processes
by: Yang-Zhao, Samuel, et al.
Published: (2024)
by: Yang-Zhao, Samuel, et al.
Published: (2024)
Privacy-Preserving Vertical K-Means Clustering
by: Mazzone, Federico, et al.
Published: (2025)
by: Mazzone, Federico, et al.
Published: (2025)
Privacy Preservation through Practical Machine Unlearning
by: Dilworth, Robert
Published: (2025)
by: Dilworth, Robert
Published: (2025)
Privacy-Preserving Hierarchical Model-Distributed Inference
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
by: Dehkordi, Fatemeh Jafarian, et al.
Published: (2024)
A Comparative Study of Hyperparameter Tuning Methods
by: Dasgupta, Subhasis, et al.
Published: (2024)
by: Dasgupta, Subhasis, et al.
Published: (2024)
CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
by: Luo, Jinglong, et al.
Published: (2024)
by: Luo, Jinglong, et al.
Published: (2024)
A Privacy-Preserving Framework for Advertising Personalization Incorporating Federated Learning and Differential Privacy
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Preserving Node-level Privacy in Graph Neural Networks
by: Xiang, Zihang, et al.
Published: (2023)
by: Xiang, Zihang, et al.
Published: (2023)
Privacy-Preserving 3-Layer Neural Network Training
by: Chiang, John
Published: (2023)
by: Chiang, John
Published: (2023)
Privacy-Preserving Optimal Parameter Selection for Collaborative Clustering
by: Ghasemian, Maryam, et al.
Published: (2024)
by: Ghasemian, Maryam, et al.
Published: (2024)
Privacy-Preserving Verifiable Neural Network Inference Service
by: Riasi, Arman, et al.
Published: (2024)
by: Riasi, Arman, et al.
Published: (2024)
Privacy-Preserving Generative Models: A Comprehensive Survey
by: Padariya, Debalina, et al.
Published: (2025)
by: Padariya, Debalina, et al.
Published: (2025)
Automated Privacy-Preserving Techniques via Meta-Learning
by: Carvalho, Tânia, et al.
Published: (2024)
by: Carvalho, Tânia, et al.
Published: (2024)
Preserving Expert-Level Privacy in Offline Reinforcement Learning
by: Sharma, Navodita, et al.
Published: (2024)
by: Sharma, Navodita, et al.
Published: (2024)
opp/ai: Optimistic Privacy-Preserving AI on Blockchain
by: So, Cathie, et al.
Published: (2024)
by: So, Cathie, et al.
Published: (2024)
Efficient Federated Unlearning with Adaptive Differential Privacy Preservation
by: Jiang, Yu, et al.
Published: (2024)
by: Jiang, Yu, et al.
Published: (2024)
FedTDP: A Privacy-Preserving and Unified Framework for Trajectory Data Preparation via Federated Learning
by: Zeng, Zhihao, et al.
Published: (2025)
by: Zeng, Zhihao, et al.
Published: (2025)
Boosting Digital Safeguards: Blending Cryptography and Steganography
by: Maiti, Anamitra, et al.
Published: (2024)
by: Maiti, Anamitra, et al.
Published: (2024)
Immersion and Invariance-based Coding for Privacy-Preserving Federated Learning
by: Hayati, Haleh, et al.
Published: (2024)
by: Hayati, Haleh, et al.
Published: (2024)
Learning Robust and Privacy-Preserving Representations via Information Theory
by: Zhang, Binghui, et al.
Published: (2024)
by: Zhang, Binghui, et al.
Published: (2024)
Similar Items
-
Adversarial Text Generation with Dynamic Contextual Perturbation
by: Waghela, Hetvi, et al.
Published: (2025) -
Security and Privacy Management of IoT Using Quantum Computing
by: Sen, Jaydip
Published: (2025) -
Information Security and Privacy in the Digital World: Some Selected Topics
by: Sen, Jaydip, et al.
Published: (2024) -
A Modified Word Saliency-Based Adversarial Attack on Text Classification Models
by: Waghela, Hetvi, et al.
Published: (2024) -
Saliency Attention and Semantic Similarity-Driven Adversarial Perturbation
by: Waghela, Hetvi, et al.
Published: (2024)