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Found 5 papers, 3 papers with code
Fine-tuning is Not Fine: Mitigating Backdoor Attacks in GNNs with Limited Clean Data
By adopting the graph attention transfer method, GRAPHNAD can effectively align the intermediate-layer attention representations of the backdoored model with that of the teacher model, forcing the backdoor neurons to transform into benign ones.
DMGNN: Detecting and Mitigating Backdoor Attacks in Graph Neural Networks
Recent studies have revealed that GNNs are highly susceptible to multiple adversarial attacks.
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning
To achieve this objective, we ask: How to recover universal and hard backdoor triggers in GNNs?
Benchmarking the CoW with the TopCoW Challenge: Topology-Aware Anatomical Segmentation of the Circle of Willis for CTA and MRA
The TopCoW dataset was the first public dataset with voxel-level annotations for thirteen possible CoW vessel components, enabled by virtual-reality (VR) technology.
nnDetection for Intracranial Aneurysms Detection and Localization
Intracranial aneurysms are a commonly occurring and life-threatening condition, affecting approximately 3. 2% of the general population.
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