3 papers
cs.NI2026
SAIL: Unsupervised Spatial-Angular Interpretable Feature Learning for RF Map Synthesis
Sopan Sarkar, Marwan Krunz
In wireless networks, radio-frequency (RF) maps are critical for tasks such as capacity planning, coverage estimation, and localization. Traditional approaches for obtaining RF map…
cs.LG2026
Deep Learning-Driven Friendly Jamming for Secure Multicarrier ISAC Under Channel Uncertainty
Bui Minh Tuan, Van-Dinh Nguyen, Diep N. Nguyen +5
Integrated sensing and communication (ISAC) systems promise efficient spectrum utilization by jointly supporting radar sensing and wireless communication. This paper presents a dee…
cs.CR2025
Teacher-free Latent Self-distillation and Class-separable Representations for Lightweight IoT Attack Detection
Phai Vu Dinh, Quang Uy Nguyen, Thai Hoang Dinh +6
Knowledge distillation (KD) has been widely used to improve lightweight AI models by transferring soft-label knowledge from a large teacher model to a student model. However, exist…