Imagen de Portada

Digital Privacy Everywhere

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ranjan, Paritosh, Majumder, Surajit, Roy, Prodip
Formato:	Preprint
Publicado:	2025
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Single Block On
por: Ranjan, Paritosh, et al.
Publicado: (2025)

Generative Voice Bursts during Phone Call
por: Ranjan, Paritosh, et al.
Publicado: (2025)

Multi Part Deployment of Neural Network
por: Ranjan, Paritosh, et al.
Publicado: (2025)

Airborne Neural Network
por: Ranjan, Paritosh, et al.
Publicado: (2025)

Balancing Fixed Number of Nodes Among Multiple Fixed Clusters
por: Ranjan, Paritosh, et al.
Publicado: (2025)

Distributedness based scheduling
por: Ranjan, Paritosh, et al.
Publicado: (2025)

Switch-Based Multi-Part Neural Network
por: Majumder, Surajit, et al.
Publicado: (2025)

Differential Privacy for Regulatory Compliance in Cyberattack Detection on Critical Infrastructure Systems
por: Ramanan, Paritosh, et al.
Publicado: (2025)

Evaluating the Robustness of the "Ensemble Everything Everywhere" Defense
por: Zhang, Jie, et al.
Publicado: (2024)

Digital Privacy Under Attack: Challenges and Enablers
por: Song, Baobao, et al.
Publicado: (2023)

Understanding Help Seeking for Digital Privacy, Safety, and Security
por: Thomas, Kurt, et al.
Publicado: (2026)

Shortcuts Everywhere and Nowhere: Exploring Multi-Trigger Backdoor Attacks
por: Li, Yige, et al.
Publicado: (2024)

Digital Privacy in IoT: Exploring Challenges, Approaches and Open Issues
por: Girija, Shini, et al.
Publicado: (2026)

Perception of Digital Privacy Protection: An Empirical Study using GDPR Framework
por: Alhazmi, Hamoud, et al.
Publicado: (2024)

Metric Differential Privacy at the User-Level Via the Earth Mover's Distance
por: Imola, Jacob, et al.
Publicado: (2024)

To See or Not to See: A Privacy Threat Model for Digital Forensics in Crime Investigation
por: Raciti, Mario, et al.
Publicado: (2025)

A Low-Cost Privacy-Preserving Digital Wallet for Humanitarian Aid Distribution
por: Luvison, Eva, et al.
Publicado: (2024)

A Comprehensive Analysis of Pegasus Spyware and Its Implications for Digital Privacy and Security
por: Kareem, Karwan
Publicado: (2024)

Towards Lightweight and Privacy-preserving Data Provision in Digital Forensics for Driverless Taxi
por: Gong, Yanwei, et al.
Publicado: (2024)

Every Bit, Everywhere, All at Once: A Binomial Multibit LLM Watermark
por: Gloaguen, Thibaud, et al.
Publicado: (2026)

Achieving Privacy Utility Balance for Multivariate Time Series Data
por: Hore, Gaurab, et al.
Publicado: (2024)

Cooperative Local Differential Privacy: Securing Time Series Data in Distributed Environments
por: Singh, Bikash Chandra, et al.
Publicado: (2025)

zkLogin: Privacy-Preserving Blockchain Authentication with Existing Credentials
por: Baldimtsi, Foteini, et al.
Publicado: (2024)

CANGuard: A Spatio-Temporal CNN-GRU-Attention Hybrid Architecture for Intrusion Detection in In-Vehicle CAN Networks
por: Sajib, Rakib Hossain, et al.
Publicado: (2026)

zkSTAR: A zero knowledge system for time series attack detection enforcing regulatory compliance in critical infrastructure networks
por: Ramanan, Paritosh, et al.
Publicado: (2025)

BlockChain I/O: Enabling Cross-Chain Commerce
por: Datta, Anwitaman, et al.
Publicado: (2023)

On the Differential Privacy and Interactivity of Privacy Sandbox Reports
por: Ghazi, Badih, et al.
Publicado: (2024)

B-Privacy: Defining and Enforcing Privacy in Weighted Voting
por: Breckenridge, Samuel, et al.
Publicado: (2025)

Smart Car Privacy: Survey of Attacks and Privacy Issues
por: Deshmukh, Akshay Madhav
Publicado: (2025)

Privacy Drift: Evolving Privacy Concerns in Incremental Learning
por: Ahamed, Sayyed Farid, et al.
Publicado: (2024)

PrivacyGo: Privacy-Preserving Ad Measurement with Multidimensional Intersection
por: Du, Jian, et al.
Publicado: (2025)

Interdependent Privacy in Smart Homes: Hunting for Bystanders in Privacy Policies
por: Liu, Shuaishuai, et al.
Publicado: (2025)

Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility
por: Haydari, Ammar, et al.
Publicado: (2021)

Privacy-Enhanced Adaptive Authentication: User Profiling with Privacy Guarantees
por: Baseri, Yaser, et al.
Publicado: (2024)

Actual Knowledge Gain as Privacy Loss in Local Privacy Accounting
por: Pan, Mingen
Publicado: (2023)

Information Security and Privacy in the Digital World: Some Selected Topics
por: Sen, Jaydip, et al.
Publicado: (2024)

Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare
por: Jeong, Hyejun, et al.
Publicado: (2024)

Curvature Clues: Decoding Deep Learning Privacy with Input Loss Curvature
por: Ravikumar, Deepak, et al.
Publicado: (2024)

DPolicy: Managing Privacy Risks Across Multiple Releases with Differential Privacy
por: Küchler, Nicolas, et al.
Publicado: (2025)

Residual-PAC Privacy: Automatic Privacy Control Beyond the Gaussian Barrier
por: Zhang, Tao, et al.
Publicado: (2025)