SOURCE-LINKED INTELLIGENCE

ODPure: Backdoor Purification for Object Detection via Ensemble Corruption Consensus

arXiv · AI, language, vision and robotics · article · Sep 23, 2026 · UTC

With the development of applications like autonomous driving, object detection has gained significant attention, while also highlighting critical vulnerabilities like backdoor attacks that severely compromise model integrity. Specifically, such attacks involve altering the categories of objects (i.e., object misclassification), removing bounding boxes (i.e., object disappearance), or generating bounding box proposals for non-existent objects (i.e., object generation) when a predefined trigger is present in the input. Although backdoor defenses for image classification are well-established, the

Read original source ↗ Open in workspace

recordType

paper

region

Global