Imagen de Portada

Erasing Radio Frequency Fingerprints via Active Adversarial Perturbation

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Lu, Zhaoyi, Xu, Wenchao, Tu, Ming, Xie, Xin, Hua, Cunqing, Cheng, Nan
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Transmitter Identification via Volterra Series Based Radio Frequency Fingerprint
por: Jiang, Rundong, et al.
Publicado: (2025)

On the Reliability of Radio Frequency Fingerprinting
por: Irfan, Muhammad, et al.
Publicado: (2024)

Adversarial Attacks Against Deep Learning-Based Radio Frequency Fingerprint Identification
por: Ma, Jie, et al.
Publicado: (2025)

PrismWF: A Multi-Granularity Patch-Based Transformer for Robust Website Fingerprinting Attack
por: Pan, Yuhao, et al.
Publicado: (2026)

Towards Channel-Robust and Receiver-Independent Radio Frequency Fingerprint Identification
por: Ma, Jie, et al.
Publicado: (2025)

Radio Frequency Fingerprinting via Deep Learning: Challenges and Opportunities
por: Al-Hazbi, Saeif, et al.
Publicado: (2023)

A Generic Machine Learning Framework for Radio Frequency Fingerprinting
por: Hiles, Alex, et al.
Publicado: (2025)

WACANA: A Concolic Analyzer for Detecting On-chain Data Vulnerabilities in WASM Smart Contracts
por: Wang, Wansen, et al.
Publicado: (2024)

Rapid LoRA Aggregation for Wireless Channel Adaptation in Open-Set Radio Frequency Fingerprinting
por: Zhang, Mingxi, et al.
Publicado: (2026)

Radio Adversarial Attacks on EMG-based Gesture Recognition Networks
por: Xie, Hongyi
Publicado: (2025)

Towards Imperceptible Adversarial Attacks for Time Series Classification with Local Perturbations and Frequency Analysis
por: Gu, Wenwei, et al.
Publicado: (2025)

Preventing Radio Fingerprinting through Low-Power Jamming
por: Irfan, Muhammad, et al.
Publicado: (2024)

An Automated Analyzer for Financial Security of Ethereum Smart Contracts
por: Wang, Wansen, et al.
Publicado: (2022)

HidePrint: Protecting Device Anonymity by Obscuring Radio Fingerprints
por: Oligeri, Gabriele, et al.
Publicado: (2024)

DeepTaster: Adversarial Perturbation-Based Fingerprinting to Identify Proprietary Dataset Use in Deep Neural Networks
por: Park, Seonhye, et al.
Publicado: (2022)

CONTEX-T: Contextual Exploitation of Encrypted Traffic for Device Fingerprinting via Transformer Time-Frequency Analysis
por: Islam, Nazmul, et al.
Publicado: (2026)

Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems
por: Wang, Chenglong, et al.
Publicado: (2025)

Adversarial Example Based Fingerprinting for Robust Copyright Protection in Split Learning
por: Lin, Zhangting, et al.
Publicado: (2025)

Time-Frequency Jointed Imperceptible Adversarial Attack to Brainprint Recognition with Deep Learning Models
por: Yi, Hangjie, et al.
Publicado: (2024)

IrisFP: Adversarial-Example-based Model Fingerprinting with Enhanced Uniqueness and Robustness
por: Geng, Ziye, et al.
Publicado: (2026)

To See or Not to See -- Fingerprinting Devices in Adversarial Environments Amid Advanced Machine Learning
por: Feng, Justin, et al.
Publicado: (2025)

Securing UAV Communications by Fusing Cross-Layer Fingerprints
por: Huang, Yong, et al.
Publicado: (2025)

SATversary: Adversarial Attacks and Defenses for Satellite Fingerprinting
por: Smailes, Joshua, et al.
Publicado: (2025)

Unlocking the Effectiveness of LoRA-FP for Seamless Transfer Implantation of Fingerprints in Downstream Models
por: Xu, Zhenhua, et al.
Publicado: (2025)

Bitstream Collisions in Neural Image Compression via Adversarial Perturbations
por: Madden, Jordan, et al.
Publicado: (2025)

X-PRINT:Platform-Agnostic and Scalable Fine-Grained Encrypted Traffic Fingerprinting
por: Zhu, YuKun, et al.
Publicado: (2025)

Adversarial Perturbations Cannot Reliably Protect Artists From Generative AI
por: Hönig, Robert, et al.
Publicado: (2024)

Fingerprinting LLMs via Prompt Injection
por: Hu, Yuepeng, et al.
Publicado: (2025)

From Hardware Fingerprint to Access Token: Enhancing the Authentication on IoT Devices
por: Xiao, Yue, et al.
Publicado: (2024)

EverTracer: Hunting Stolen Large Language Models via Stealthy and Robust Probabilistic Fingerprint
por: Xu, Zhenhua, et al.
Publicado: (2025)

Fingerprinting SDKs for Mobile Apps and Where to Find Them: Understanding the Market for Device Fingerprinting
por: Specter, Michael A., et al.
Publicado: (2025)

JANUS: A Difference-Oriented Analyzer For Financial Centralization Risks in Smart Contracts
por: Wang, Wansen, et al.
Publicado: (2024)

Joint Universal Adversarial Perturbations with Interpretations
por: Ning, Liang-bo, et al.
Publicado: (2024)

Low Rank Adaptation for Adversarial Perturbation
por: Liu, Han, et al.
Publicado: (2026)

Diffusion-Guided Adversarial Perturbation Injection for Generalizable Defense Against Facial Manipulations
por: Li, Yue, et al.
Publicado: (2026)

DUAP: Dual-task Universal Adversarial Perturbations Against Voice Control Systems
por: Sun, Suyang, et al.
Publicado: (2026)

Spectral Entanglement Fingerprinting: A Novel Framework for Ransomware Detection Using Cross-Frequency Anomalous Waveform Signatures
por: Ayanara, Dominica, et al.
Publicado: (2025)

Are Robust LLM Fingerprints Adversarially Robust?
por: Nasery, Anshul, et al.
Publicado: (2025)

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
por: Hussain, Ahmed Mohamed, et al.
Publicado: (2024)

Evaluating the Vulnerability of ML-Based Ethereum Phishing Detectors to Single-Feature Adversarial Perturbations
por: Alghuried, Ahod, et al.
Publicado: (2025)