Cover Image

Privacy Risk Predictions Based on Fundamental Understanding of Personal Data and an Evolving Threat Landscape

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Niu, Haoran, Barber, K. Suzanne
Format:	Preprint
Published:	2025
Subjects:	Machine Learning Cryptography and Security Social and Information Networks
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Web Scale Graph Mining for Cyber Threat Intelligence
by: Freitas, Scott, et al.
Published: (2024)

Privacy-Preserving Graph Embedding based on Local Differential Privacy
by: Li, Zening, et al.
Published: (2023)

Differentially Private Graph Learning via Sensitivity-Bounded Personalized PageRank
by: Epasto, Alessandro, et al.
Published: (2022)

FedGraph-VASP: Privacy-Preserving Federated Graph Learning with Post-Quantum Security for Cross-Institutional Anti-Money Laundering
by: Commey, Daniel, et al.
Published: (2026)

Differentially Private Spectral Graph Clustering: Balancing Privacy, Accuracy, and Efficiency
by: Koskela, Antti, et al.
Published: (2025)

On the Price of Differential Privacy for Spectral Clustering over Stochastic Block Models
by: Koskela, Antti, et al.
Published: (2025)

Predictive Response Optimization: Using Reinforcement Learning to Fight Online Social Network Abuse
by: Wilson, Garrett, et al.
Published: (2025)

Community Concealment from Unsupervised Graph Learning-Based Clustering
by: Manatova, Dalyapraz, et al.
Published: (2026)

GraphPub: Generation of Differential Privacy Graph with High Availability
by: Xu, Wanghan, et al.
Published: (2024)

Privacy utility trade offs for parameter estimation in degree heterogeneous higher order networks
by: Mandal, Bibhabasu, et al.
Published: (2026)

Differential Privacy on Trust Graphs
by: Ghazi, Badih, et al.
Published: (2024)

AI-in-the-Loop: Privacy Preserving Real-Time Scam Detection and Conversational Scambaiting by Leveraging LLMs and Federated Learning
by: Hossain, Ismail, et al.
Published: (2025)

Edge Private Graph Neural Networks with Singular Value Perturbation
by: Tang, Tingting, et al.
Published: (2024)

Towards Robust Graph Structural Learning Beyond Homophily via Preserving Neighbor Similarity
by: Zhu, Yulin, et al.
Published: (2024)

"All of Me": Mining Users' Attributes from their Public Spotify Playlists
by: Tricomi, Pier Paolo, et al.
Published: (2024)

Dynamic Gradient Influencing for Viral Marketing Using Graph Neural Networks
by: Sharma, Saurabh, et al.
Published: (2024)

GNN-based Anomaly Detection for Encoded Network Traffic
by: Chattopadhyay, Anasuya, et al.
Published: (2024)

Attacks on Node Attributes in Graph Neural Networks
by: Xu, Ying, et al.
Published: (2024)

PrIsing: Privacy-Preserving Peer Effect Estimation via Ising Model
by: Chakraborty, Abhinav, et al.
Published: (2024)

DNS Tunneling: Threat Landscape and Improved Detection Solutions
by: Amirov, Novruz, et al.
Published: (2025)

Investigating the Temporal Dynamics of Cyber Threat Intelligence
by: Kodituwakku, Angel, et al.
Published: (2024)

SoK: Analysis of Privacy Risks and Mitigation in Online Propaganda Detection through the PROMPT Framework
by: Goswami, Dhiman, et al.
Published: (2026)

Adversarial Text Rewriting for Text-aware Recommender Systems
by: Oh, Sejoon, et al.
Published: (2024)

When the Server Steps In: Calibrated Updates for Fair Federated Learning
by: Yu, Tianrun, et al.
Published: (2026)

Adversarial Threats to Automatic Modulation Open Set Recognition in Wireless Networks
by: Yang, Yandie, et al.
Published: (2024)

Privacy Intelligence: A Survey on Image Privacy in Online Social Networks
by: Liu, Chi, et al.
Published: (2020)

HiGraph: A Large-Scale Hierarchical Graph Dataset for Malware Analysis
by: Chen, Han, et al.
Published: (2025)

ART: A Graph-based Framework for Investigating Illicit Activity in Monero via Address-Ring-Transaction Structures
by: Venturi, Andrea, et al.
Published: (2025)

When Graph Structure Becomes a Liability: A Critical Re-Evaluation of Graph Neural Networks for Bitcoin Fraud Detection under Temporal Distribution Shift
by: Maganti, Saket
Published: (2026)

Cloned Identity Detection in Social-Sensor Clouds based on Incomplete Profiles
by: Alharbi, Ahmed, et al.
Published: (2024)

MetaGAD: Meta Representation Adaptation for Few-Shot Graph Anomaly Detection
by: Xu, Xiongxiao, et al.
Published: (2023)

3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
by: Qiu, Chenyang, et al.
Published: (2023)

Deep Learning for Resilient Adversarial Decision Fusion in Byzantine Networks
by: Kallas, Kassem
Published: (2024)

Large Language Models for Link Stealing Attacks Against Graph Neural Networks
by: Guan, Faqian, et al.
Published: (2024)

A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
by: Johora, Fatama Tuz, et al.
Published: (2024)

The Impact of Sanctions on decentralised Privacy Tools: A Case Study of Tornado Cash
by: Cristodaro, Raffaele, et al.
Published: (2025)

Making Privacy-preserving Federated Graph Analytics with Strong Guarantees Practical (for Certain Queries)
by: Liu, Kunlong, et al.
Published: (2024)

Preserving Privacy and Utility in LLM-Based Product Recommendations
by: Khezresmaeilzadeh, Tina, et al.
Published: (2025)

Differentially Private Online Community Detection for Censored Block Models: Algorithms and Fundamental Limits
by: Seif, Mohamed, et al.
Published: (2024)

AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
by: Du, Yuntao, et al.
Published: (2026)