Image de couverture de livre

Attention-based Adversarial Robust Distillation in Radio Signal Classifications for Low-Power IoT Devices

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Zhang, Lu, Lambotharan, Sangarapillai, Zheng, Gan, Liao, Guisheng, AsSadhan, Basil, Roli, Fabio
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Artificial Intelligence
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Countermeasures Against Adversarial Examples in Radio Signal Classification
par: Zhang, Lu, et autres
Publié: (2024)

A Neural Rejection System Against Universal Adversarial Perturbations in Radio Signal Classification
par: Zhang, Lu, et autres
Publié: (2025)

Vision Transformer with Adversarial Indicator Token against Adversarial Attacks in Radio Signal Classifications
par: Zhang, Lu, et autres
Publié: (2025)

A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification
par: Zhang, Lu, et autres
Publié: (2024)

QuantFL: Sustainable Federated Learning for Edge IoT via Pre-Trained Model Quantisation
par: Herath, Charuka, et autres
Publié: (2026)

Tackling Delayed CSI in a Distributed Multi-Satellite MIMO Communication System
par: Omid, Yasaman, et autres
Publié: (2024)

FAS-LLM: Large Language Model-Based Channel Prediction for OTFS-Enabled Satellite-FAS Links
par: Yang, Halvin, et autres
Publié: (2025)

A General Sensing-assisted Channel Estimation Framework in Distributed MIMO Network
par: Zhou, Hui, et autres
Publié: (2024)

ZEST: Attention-based Zero-Shot Learning for Unseen IoT Device Classification
par: Wu, Binghui, et autres
Publié: (2023)

Orthogonal Subspace Projection for Continual Machine Unlearning via SVD-Based LoRA
par: Rahulamathavan, Yogachandran, et autres
Publié: (2026)

Enhancing Federated Learning Convergence with Dynamic Data Queue and Data Entropy-driven Participant Selection
par: Herath, Charuka, et autres
Publié: (2024)

LLM-Enhanced Space-Air-Ground-Sea Integrated Networks
par: Yang, Halvin, et autres
Publié: (2025)

Performance Analysis of Fluid Antenna System Aided OTFS Satellite Communications
par: Yang, Halvin, et autres
Publié: (2025)

Low-Power and Accurate IoT Monitoring Under Radio Resource Constraint
par: Shimokasa, Takaho, et autres
Publié: (2025)

DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation
par: Herath, Charuka, et autres
Publié: (2025)

Hybrid Knowledge Transfer through Attention and Logit Distillation for On-Device Vision Systems in Agricultural IoT
par: Mugisha, Stanley, et autres
Publié: (2025)

Reinforcement Learning-Based Downlink Transmit Precoding for Mitigating the Impact of Delayed CSI in Satellite Systems
par: Omid, Yasaman, et autres
Publié: (2024)

Multi-Agent Reinforcement Learning Counteracts Delayed CSI in Multi-Satellite Systems
par: Aristodemou, Marios, et autres
Publié: (2026)

FheFL: Fully Homomorphic Encryption Friendly Privacy-Preserving Federated Learning with Byzantine Users
par: Rahulamathavan, Yogachandran, et autres
Publié: (2023)

Updating Windows Malware Detectors: Balancing Robustness and Regression against Adversarial EXEmples
par: Kozak, Matous, et autres
Publié: (2024)

Maximizing Uncertainty for Federated learning via Bayesian Optimisation-based Model Poisoning
par: Aristodemou, Marios, et autres
Publié: (2025)

Adversarial Pruning: A Survey and Benchmark of Pruning Methods for Adversarial Robustness
par: Piras, Giorgio, et autres
Publié: (2024)

EILID: Execution Integrity for Low-end IoT Devices
par: Jakkamsetti, Sashidhar, et autres
Publié: (2025)

Analysis of Robust and Secure DNS Protocols for IoT Devices
par: Aydeger, Abdullah, et autres
Publié: (2025)

Context-awareness for Dependable Low-Power IoT
par: Ruiz-Guirola, David E., et autres
Publié: (2025)

Obfuscating IoT Device Scanning Activity via Adversarial Example Generation
par: Li, Haocong, et autres
Publié: (2024)

Empowering IoT Applications with Flexible, Energy-Efficient Remote Management of Low-Power Edge Devices
par: Attarha, Shadi, et autres
Publié: (2024)

Jointly Optimizing Power Allocation and Device Association for Robust IoT Networks under Infeasible Circumstances
par: Tung, Nguyen Xuan, et autres
Publié: (2024)

RF Power Transmission for Self-sustaining Miniaturized IoT Devices
par: Schulthess, Lukas, et autres
Publié: (2024)

Evaluating the Evaluators: Trust in Adversarial Robustness Tests
par: Cinà, Antonio Emanuele, et autres
Publié: (2025)

Incremental Firmware Update Over-the-Air for Low-Power IoT Devices over LoRaWAN
par: De Simone, Andrea, et autres
Publié: (2025)

Edge AI-based Radio Frequency Fingerprinting for IoT Networks
par: Hussain, Ahmed Mohamed, et autres
Publié: (2024)

LoRA-C: Parameter-Efficient Fine-Tuning of Robust CNN for IoT Devices
par: Ding, Chuntao, et autres
Publié: (2024)

Attention-based UAV Trajectory Optimization for Wireless Power Transfer-assisted IoT Systems
par: Dong, Li, et autres
Publié: (2025)

Coexistence of Pull and Push Communication in Wireless Access for IoT Devices
par: Cavallero, Sara, et autres
Publié: (2024)

RIFLE: Robust Distillation-based FL for Deep Model Deployment on Resource-Constrained IoT Networks
par: Arefijamal, Pouria, et autres
Publié: (2026)

Doubly Adaptive Channel and Spatial Attention for Semantic Image Communication by IoT Devices
par: Miri, Soroosh, et autres
Publié: (2026)

SCI-IoT: A Quantitative Framework for Trust Scoring and Certification of IoT Devices
par: Swami, Shreyansh, et autres
Publié: (2025)

FEMBNet: Toward Robust and Lightweight Federated Learning for Heterogeneous IoT Devices
par: Jiao Tian, et autres
Publié: (2026)

Chapter Smartphone: The Ultimate IoT and IoE Device
par: Ajana El Khaddar, Mehdia, et autres
Publié: (2021)