12 papers
SpikeTimer: Exploring Active Copyright Protection in Spiking Neural Networks via Temporal Backdoor Regularization
Xiao Yang, Gaolei Li, Jun Wu +2
Spiking Neural Networks (SNN) have emerged as a revolutionary paradigm compared to traditional Deep Neural Networks (DNN) in energy-efficient computing, showcasing exceptional capa…
Toward Polymorphic Backdoor against Semantic Communication via Intensity-Based Poisoning
Xiao Yang, Yuni Lai, Gaolei Li +4
Semantic Communication (SC) backdoor attacks aim to utilize triggers to manipulate the system into producing predetermined outputs via backdoored shared knowledge. Current SC backd…
Splats in Splats++: Robust and Generalizable 3D Gaussian Splatting Steganography
Yijia Guo, Wenkai Huang, Tong Hu +9
3D Gaussian Splatting (3DGS) has recently redefined the paradigm of 3D reconstruction, striking an unprecedented balance between visual fidelity and computational efficiency. As it…
Can Protective Watermarking Safeguard the Copyright of 3D Gaussian Splatting?
Wenkai Huang, Yijia Guo, Gaolei Li +6
3D Gaussian Splatting (3DGS) has emerged as a powerful representation for 3D scenes, widely adopted due to its exceptional efficiency and high-fidelity visual quality. Given the si…
Alkaid: Resilience to Edit Errors in Provably Secure Steganography via Distance-Constrained Encoding
Zhihan Cao, Gaolei Li, Jun Wu +3
While provably secure steganography provides strong concealment by ensuring stego carriers are indistinguishable from natural samples, such systems remain vulnerable to real-world…
SemCovert: Secure and Covert Video Transmission via Deep Semantic-Level Hiding
Zhihan Cao, Xiao Yang, Gaolei Li +3
Video semantic communication, praised for its transmission efficiency, still faces critical challenges related to privacy leakage. Traditional security techniques like steganograph…