:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wuyts, Kim, Douglen, Avi
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security
Online Access:	https://arxiv.org/abs/2408.03578
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

PTMF: A Privacy Threat Modeling Framework for IoT with Expert-Driven Threat Propagation Analysis
by: Alalade, Emmanuel Dare, et al.
Published: (2025)

Security Analysis of ChatGPT: Threats and Privacy Risks
by: Xiang, Yushan, et al.
Published: (2025)

Privacy Engineering in Smart Home (SH) Systems: A Comprehensive Privacy Threat Analysis and Risk Management Approach
by: Alalade, Emmanuel Dare, et al.
Published: (2024)

Privacy in Foundation Models: A Conceptual Framework for System Design
by: Bi, Tingting, et al.
Published: (2023)

Up-to-date Threat Modelling for Soft Privacy on Smart Cars
by: Raciti, Mario, et al.
Published: (2023)

Exploring the Integration of Differential Privacy in Cybersecurity Analytics: Balancing Data Utility and Privacy in Threat Intelligence
by: Sedraoui, Brahim Khalil, et al.
Published: (2026)

PILLAR: an AI-Powered Privacy Threat Modeling Tool
by: Mollaeefar, Majid, et al.
Published: (2024)

SoK: Privacy-aware LLM in Healthcare: Threat Model, Privacy Techniques, Challenges and Recommendations
by: Tahera, Mohoshin Ara, et al.
Published: (2026)

Healthcare Data Governance, Privacy, and Security -- A Conceptual Framework
by: Faridoon, Amen, et al.
Published: (2024)

Unique Security and Privacy Threats of Large Language Models: A Comprehensive Survey
by: Wang, Shang, et al.
Published: (2024)

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

Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning
by: Bi, Yu, et al.
Published: (2024)

RAG Security and Privacy: Formalizing the Threat Model and Attack Surface
by: Arzanipour, Atousa, et al.
Published: (2025)

Survey of Privacy Threats and Countermeasures in Federated Learning
by: Hayashitani, Masahiro, et al.
Published: (2024)

Privacy and Security Threat for OpenAI GPTs
by: Wenying, Wei, et al.
Published: (2025)

A Threat Intelligence Event Extraction Conceptual Model for Cyber Threat Intelligence Feeds
by: Al-Yasiri, Jamal H., et al.
Published: (2025)

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
by: Cebere, Tudor, et al.
Published: (2024)

A LINDDUN-based Privacy Threat Modeling Framework for GenAI
by: Liao, Qianying, et al.
Published: (2026)

Local Layer-wise Differential Privacy in Federated Learning
by: Li, Yunbo, et al.
Published: (2026)

Location Privacy Threats and Protections in 6G Vehicular Networks: A Comprehensive Review
by: Ma, Baihe, et al.
Published: (2023)

The Complexities of Differential Privacy for Survey Data
by: Drechsler, Jörg, et al.
Published: (2024)

A Unifying Privacy Analysis Framework for Unknown Domain Algorithms in Differential Privacy
by: Rogers, Ryan
Published: (2023)

Quantifying and Defending against Privacy Threats on Federated Knowledge Graph Embedding
by: Hu, Yuke, et al.
Published: (2023)

An Examination of the Alleged Privacy Threats of Confidence-Ranked Reconstruction of Census Microdata
by: Sánchez, David, et al.
Published: (2023)

A Critical Review on the Effectiveness and Privacy Threats of Membership Inference Attacks
by: Jebreel, Najeeb, et al.
Published: (2026)

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy
by: Liu, Yixuan, et al.
Published: (2024)

Differential Privacy Analysis of Decentralized Gossip Averaging under Varying Threat Models
by: Koskela, Antti, et al.
Published: (2025)

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

Privacy-Preserving Distributed Learning in IoT Systems: A Unified Threat Model and Evaluation Framework
by: Cartmell, John, et al.
Published: (2026)

Layered, Overlapping, and Inconsistent: A Large-Scale Analysis of the Multiple Privacy Policies and Controls of U.S. Banks
by: Xian, Lu, et al.
Published: (2025)

Privacy-Preserving CNN Training with Transfer Learning: Two Hidden Layers
by: Chiang, John
Published: (2025)

Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review
by: ElZemity, Adel, et al.
Published: (2024)

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

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

Privacy-Preserving ECG Data Analysis with Differential Privacy: A Literature Review and A Case Study
by: Ghazarian, Arin, et al.
Published: (2024)

Tighter Privacy Analysis for Truncated Poisson Sampling
by: Ganesh, Arun
Published: (2025)

PriMod4AI: Lifecycle-Aware Privacy Threat Modeling for AI Systems using LLM
by: Savaliya, Gautam, et al.
Published: (2026)

When Fairness Meets Privacy: Exploring Privacy Threats in Fair Binary Classifiers via Membership Inference Attacks
by: Tian, Huan, et al.
Published: (2023)

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

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