Fingerprinting Deep Learning Models via Network Traffic Patterns in Federated Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Shuvo, Md Nahid Hasan, Hossain, Moinul |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025)
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025)
PHANTOM: PHysical ANamorphic Threats Obstructing Connected Vehicle Mobility
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025)
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025)
TempoNet: Learning Realistic Communication and Timing Patterns for Network Traffic Simulation
by: Moore, Kristen, et al.
Published: (2026)
by: Moore, Kristen, et al.
Published: (2026)
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
by: Ali, Md Shahin, et al.
Published: (2024)
by: Ali, Md Shahin, et al.
Published: (2024)
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
by: Quy, Vu Khanh, et al.
Published: (2024)
by: Quy, Vu Khanh, et al.
Published: (2024)
False Data Injection Attack Detection in Edge-based Smart Metering Networks with Federated Learning
by: Uddin, Md Raihan, et al.
Published: (2024)
by: Uddin, Md Raihan, et al.
Published: (2024)
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks
by: Dong, Wenhan, et al.
Published: (2024)
by: Dong, Wenhan, et al.
Published: (2024)
Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017
by: Xu, Zhaoyang, et al.
Published: (2025)
by: Xu, Zhaoyang, et al.
Published: (2025)
Security Assessment of Hierarchical Federated Deep Learning
by: Alqattan, D, et al.
Published: (2024)
by: Alqattan, D, et al.
Published: (2024)
TrafficLLM: Enhancing Large Language Models for Network Traffic Analysis with Generic Traffic Representation
by: Cui, Tianyu, et al.
Published: (2025)
by: Cui, Tianyu, et al.
Published: (2025)
TEN-GUARD: Tensor Decomposition for Backdoor Attack Detection in Deep Neural Networks
by: Hossain, Khondoker Murad, et al.
Published: (2024)
by: Hossain, Khondoker Murad, et al.
Published: (2024)
Deep Efficient Private Neighbor Generation for Subgraph Federated Learning
by: Zhang, Ke, et al.
Published: (2024)
by: Zhang, Ke, et al.
Published: (2024)
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
by: Dang, Zhangxuan, et al.
Published: (2024)
by: Dang, Zhangxuan, et al.
Published: (2024)
LLMs Have Rhythm: Fingerprinting Large Language Models Using Inter-Token Times and Network Traffic Analysis
by: Alhazbi, Saeif, et al.
Published: (2025)
by: Alhazbi, Saeif, et al.
Published: (2025)
Backdoor Attack on Vertical Federated Graph Neural Network Learning
by: Yang, Jirui, et al.
Published: (2024)
by: Yang, Jirui, et al.
Published: (2024)
A Novel Ensemble Learning Approach for Enhanced IoT Attack Detection: Redefining Security Paradigms in Connected Systems
by: Abdeljaber, Hikmat A. M., et al.
Published: (2025)
by: Abdeljaber, Hikmat A. M., et al.
Published: (2025)
A Novel Unified Lightweight Temporal-Spatial Transformer Approach for Intrusion Detection in Drone Networks
by: Biswas, Tarun Kumar, et al.
Published: (2025)
by: Biswas, Tarun Kumar, et al.
Published: (2025)
Evading Deep Learning-Based Malware Detectors via Obfuscation: A Deep Reinforcement Learning Approach
by: Etter, Brian, et al.
Published: (2024)
by: Etter, Brian, et al.
Published: (2024)
Local Model Reconstruction Attacks in Federated Learning and their Uses
by: Driouich, Ilias, et al.
Published: (2022)
by: Driouich, Ilias, et al.
Published: (2022)
Hijack Vertical Federated Learning Models As One Party
by: Qiu, Pengyu, et al.
Published: (2022)
by: Qiu, Pengyu, et al.
Published: (2022)
MULTI-LF: A Continuous Learning Framework for Real-Time Malicious Traffic Detection in Multi-Environment Networks
by: Rustam, Furqan, et al.
Published: (2025)
by: Rustam, Furqan, et al.
Published: (2025)
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)
by: Hossain, Ismail, et al.
Published: (2025)
Federated Foundation Models: Privacy-Preserving and Collaborative Learning for Large Models
by: Yu, Sixing, et al.
Published: (2023)
by: Yu, Sixing, et al.
Published: (2023)
FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint
by: Shao, Shuo, et al.
Published: (2025)
by: Shao, Shuo, et al.
Published: (2025)
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization
by: Li, Youpeng, et al.
Published: (2024)
by: Li, Youpeng, et al.
Published: (2024)
Generative AI like ChatGPT in Blockchain Federated Learning: use cases, opportunities and future
by: Puppala, Sai, et al.
Published: (2024)
by: Puppala, Sai, et al.
Published: (2024)
Precise Extraction of Deep Learning Models via Side-Channel Attacks on Edge/Endpoint Devices
by: Lee, Younghan, et al.
Published: (2024)
by: Lee, Younghan, et al.
Published: (2024)
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection
by: Gabrielli, Edoardo, et al.
Published: (2023)
by: Gabrielli, Edoardo, et al.
Published: (2023)
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)
Command & Control (C2) Traffic Detection Via Algorithm Generated Domain (Dga) Classification Using Deep Learning And Natural Language Processing
by: Felix, Maria Milena Araujo
Published: (2025)
by: Felix, Maria Milena Araujo
Published: (2025)
Multi-Continental Healthcare Modelling Using Blockchain-Enabled Federated Learning
by: Sun, Rui, et al.
Published: (2024)
by: Sun, Rui, et al.
Published: (2024)
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model
by: Shao, Shuo, et al.
Published: (2022)
by: Shao, Shuo, et al.
Published: (2022)
Privacy and Accuracy Implications of Model Complexity and Integration in Heterogeneous Federated Learning
by: Németh, Gergely Dániel, et al.
Published: (2023)
by: Németh, Gergely Dániel, et al.
Published: (2023)
Differentially Private Deep Model-Based Reinforcement Learning
by: Rio, Alexandre, et al.
Published: (2024)
by: Rio, Alexandre, et al.
Published: (2024)
Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
by: Peng, Songtao, et al.
Published: (2025)
by: Peng, Songtao, et al.
Published: (2025)
Data Valuation and Detections in Federated Learning
by: Li, Wenqian, et al.
Published: (2023)
by: Li, Wenqian, et al.
Published: (2023)
Federated Learning in Practice: Reflections and Projections
by: Daly, Katharine, et al.
Published: (2024)
by: Daly, Katharine, et al.
Published: (2024)
VFLGAN: Vertical Federated Learning-based Generative Adversarial Network for Vertically Partitioned Data Publication
by: Yuan, Xun, et al.
Published: (2024)
by: Yuan, Xun, et al.
Published: (2024)
Enhancing IoT Cyber Attack Detection in the Presence of Highly Imbalanced Data
by: Haque, Md. Ehsanul, et al.
Published: (2025)
by: Haque, Md. Ehsanul, et al.
Published: (2025)
PM-MOE: Mixture of Experts on Private Model Parameters for Personalized Federated Learning
by: Feng, Yu, et al.
Published: (2025)
by: Feng, Yu, et al.
Published: (2025)
Similar Items
-
FLARE: A Wireless Side-Channel Fingerprinting Attack on Federated Learning
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025) -
PHANTOM: PHysical ANamorphic Threats Obstructing Connected Vehicle Mobility
by: Shuvo, Md Nahid Hasan, et al.
Published: (2025) -
TempoNet: Learning Realistic Communication and Timing Patterns for Network Traffic Simulation
by: Moore, Kristen, et al.
Published: (2026) -
Federated Learning in Healthcare: Model Misconducts, Security, Challenges, Applications, and Future Research Directions -- A Systematic Review
by: Ali, Md Shahin, et al.
Published: (2024) -
From Federated Learning to Quantum Federated Learning for Space-Air-Ground Integrated Networks
by: Quy, Vu Khanh, et al.
Published: (2024)