7 papers
Rotation-Invariant Spherical Watermarking via Third-Order SO(3) Representation Coupling
Pengzhen Chen, Yanwei Liu, Xiaoyan Gu +3
Reliable watermarking of panoramic imagery is fundamentally challenged by arbitrary 3D rotations. As panoramas are defined on the sphere, they naturally transform under the action…
A Neural Score-Based Particle Method for the Vlasov-Maxwell-Landau System
Vasily Ilin, Jingwei Hu
Plasma modeling is central to the design of nuclear fusion reactors, yet simulating collisional plasma kinetics from first principles remains a formidable computational challenge:…
The micro-Doppler Attack Against AI-based Human Activity Classification from Wireless Signals
Margarita Loupa, Antonios Argyriou, Yanwei Liu
A subset of Human Activity Classification (HAC) systems are based on AI algorithms that use passively collected wireless signals. This paper presents the micro-Doppler attack targe…
RFI and Jamming Detection in Antenna Arrays with an LSTM Autoencoder
Christos Ntemkas, Antonios Argyriou
Radio frequency interference (RFI) and malicious jammers are a significant problem in our wireless world. Detecting RFI or jamming is typically performed with model-based statistic…
Cross-Layer-Optimized Link Selection for Hologram Video Streaming over Millimeter Wave Networks
Yiming Jiang, Yanwei Liu, Jinxia Liu +3
Holographic-type communication brings an immersive tele-holography experience by delivering holographic contents to users. As the direct representation of holographic contents, hol…
Power-Efficient Deceptive Wireless Beamforming Against Eavesdroppers
Georgios Chrysanidis, Antonios Argyriou, Le-Nam Tran +2
Eavesdroppers of wireless signals want to infer as much as possible regarding the transmitter (Tx). Popular methods to minimize information leakage to the eavesdropper include cove…
Waveform Manipulation Against DNN-based Modulation Classification Attacks
Dimitrios Varkatzas, Antonios Argyriou
In this paper we propose a method for defending against an eavesdropper that uses a Deep Neural Network (DNN) for learning the modulation of wireless communication signals. Our met…