5 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…
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…
Defense-as-a-Service: Black-box Shielding against Backdoored Graph Models
Xiao Yang, Kai Zhou, Yuni Lai +1
With the trend of large graph learning models, business owners tend to employ a model provided by a third party to deliver business services to users. However, these models might b…
Graph Neural Backdoor: Fundamentals, Methodologies, Applications, and Future Directions
Xiao Yang, Gaolei Li, Jianhua Li
Graph Neural Networks (GNNs) have significantly advanced various downstream graph-relevant tasks, encompassing recommender systems, molecular structure prediction, social media ana…