Cover Image

Quantifying Mix Network Privacy Erosion with Generative Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Mavroudis, Vasilios, Elahi, Tariq
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Zero-Trust Network Access (ZTNA)
by: Mavroudis, Vasilios
Published: (2024)

Analysis of Publicly Accessible Operational Technology and Associated Risks
by: Rodda, Matthew, et al.
Published: (2025)

HonestCyberEval: An AI Cyber Risk Benchmark for Automated Software Exploitation
by: Ristea, Dan, et al.
Published: (2024)

Referential Security as a New Paradigm for AI Evaluations
by: Ristea, Dan, et al.
Published: (2026)

Towards Flexible Anonymous Networks
by: Rochet, Florentin, et al.
Published: (2022)

SaTor: Exploring Satellite Routing in Tor to Reduce Latency
by: Li, Haozhi, et al.
Published: (2024)

Autonomous Network Defence using Reinforcement Learning
by: Foley, Myles, et al.
Published: (2024)

Less is more? Rewards in RL for Cyber Defence
by: Bates, Elizabeth, et al.
Published: (2025)

Mitigating Deep Reinforcement Learning Backdoors in the Neural Activation Space
by: Vyas, Sanyam, et al.
Published: (2024)

CybORG++: An Enhanced Gym for the Development of Autonomous Cyber Agents
by: Emerson, Harry, et al.
Published: (2024)

Entity-based Reinforcement Learning for Autonomous Cyber Defence
by: Thompson, Isaac Symes, et al.
Published: (2024)

What if we could hot swap our Biometrics?
by: Crowcroft, Jon, et al.
Published: (2025)

From Promise to Peril: Rethinking Cybersecurity Red and Blue Teaming in the Age of LLMs
by: Abuadbba, Alsharif, et al.
Published: (2025)

Beyond Training-time Poisoning: Component-level and Post-training Backdoors in Deep Reinforcement Learning
by: Vyas, Sanyam, et al.
Published: (2025)

Verifiable Privacy-Preserving Computing
by: Bontekoe, Tariq, et al.
Published: (2023)

Efficient Verifiable Differential Privacy with Input Authenticity in the Local and Shuffle Model
by: Bontekoe, Tariq, et al.
Published: (2024)

DRMD: Deep Reinforcement Learning for Malware Detection under Concept Drift
by: McFadden, Shae, et al.
Published: (2025)

An Attentive Graph Agent for Topology-Adaptive Cyber Defence
by: Sandoval, Ilya Orson, et al.
Published: (2025)

SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
by: McFadden, Shae, et al.
Published: (2026)

GraphTheft: Quantifying Privacy Risks in Graph Prompt Learning
by: Zhu, Jiani, et al.
Published: (2024)

One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
by: Shereen, Ezzeldin, et al.
Published: (2025)

Quantifying Privacy Leakage in Split Inference via Fisher-Approximated Shannon Information Analysis
by: Deng, Ruijun, et al.
Published: (2025)

Quantifying Memorization and Privacy Risks in Genomic Language Models
by: Nemecek, Alexander, et al.
Published: (2026)

Fed-AugMix: Balancing Privacy and Utility via Data Augmentation
by: Li, Haoyang, et al.
Published: (2024)

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

Quantifying Classifier Utility under Local Differential Privacy
by: Zheng, Ye, et al.
Published: (2025)

Access control for Data Spaces
by: Fotiou, Nikos, et al.
Published: (2025)

Differential Privacy for Network Assortativity
by: Ma, Fei, et al.
Published: (2025)

Network-Aware Differential Privacy
by: Li, Zhou, et al.
Published: (2025)

Dual Protection Ring: User Profiling Via Differential Privacy and Service Dissemination Through Private Information Retrieval
by: Ullah, Imdad, et al.
Published: (2025)

AI-based Traffic Modeling for Network Security and Privacy: Challenges Ahead
by: Divakaran, Dinil Mon
Published: (2025)

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

Coding Malware in Fancy Programming Languages for Fun and Profit
by: Apostolopoulos, Theodoros, et al.
Published: (2025)

Unraveling Privacy Threat Modeling Complexity: Conceptual Privacy Analysis Layers
by: Wuyts, Kim, et al.
Published: (2024)

Entropy Mixing Networks: Enhancing Pseudo-Random Number Generators with Lightweight Dynamic Entropy Injection
by: Bouke, Mohamed Aly, et al.
Published: (2025)

Architecture for Protecting Data Privacy in Decentralized Social Networks
by: Cao, Quang, et al.
Published: (2024)

Quantum Secure Biometric Authentication in Decentralised Systems
by: Qasim, Tooba, et al.
Published: (2026)

Security and Privacy on Generative Data in AIGC: A Survey
by: Wang, Tao, et al.
Published: (2023)

Generative AI for Secure and Privacy-Preserving Mobile Crowdsensing
by: Yang, Yaoqi, et al.
Published: (2024)

Achieving Flexible and Secure Authentication with Strong Privacy in Decentralized Networks
by: Xie, Bin, et al.
Published: (2025)