2 citations · 2 across the 9 of their papers we have counts for
9 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…
Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing
Pengzhen Chen, Yanwei Liu, Xiaoyan Gu +3
Recent advancements in diffusion-based image editing pose a significant threat to the authenticity of digital visual content. Traditional embedding-based watermarking methods often…
DRGW: Learning Disentangled Representations for Robust Graph Watermarking
Jiasen Li, Yanwei Liu, Zhuoyi Shang +2
Graph-structured data is foundational to numerous web applications, and watermarking is crucial for protecting their intellectual property and ensuring data provenance. Existing wa…
Attesting Model Lineage by Consisted Knowledge Evolution with Fine-Tuning Trajectory
Zhuoyi Shang, Jiasen Li, Pengzhen Chen +3
The fine-tuning technique in deep learning gives rise to an emerging lineage relationship among models. This lineage provides a promising perspective for addressing security concer…
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…
Towards Understanding How Knowledge Evolves in Large Vision-Language Models
Sudong Wang, Yunjian Zhang, Yao Zhu +4
Large Vision-Language Models (LVLMs) are gradually becoming the foundation for many artificial intelligence applications. However, understanding their internal working mechanisms h…
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…
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
Zhuoyi Shang, Yanwei Liu, Jinxia Liu +3
For general users, training a neural network from scratch is usually challenging and labor-intensive. Fortunately, neural network zoos enable them to find a well-performing model f…