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Found 4 papers, 0 papers with code
VertexSerum: Poisoning Graph Neural Networks for Link Inference
Graph neural networks (GNNs) have brought superb performance to various applications utilizing graph structural data, such as social analysis and fraud detection.
EMShepherd: Detecting Adversarial Samples via Side-channel Leakage
Inspired by the fact that electromagnetic (EM) emanations of a model inference are dependent on both operations and data and may contain footprints of different input classes, we propose a framework, EMShepherd, to capture EM traces of model execution, perform processing on traces and exploit them for adversarial detection.
Spatio-Temporal Point Processes with Attention for Traffic Congestion Event Modeling
We present a novel framework for modeling traffic congestion events over road networks.
Deep Fourier Kernel for Self-Attentive Point Processes
We present a novel attention-based model for discrete event data to capture complex non-linear temporal dependence structures.
