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Raja Jurdak

3 accepted papers

2025

Backdoor Mitigation via Invertible Pruning Masks

NeurIPS 2025poster

Model pruning has gained traction as a promising defense strategy against backdoor attacks in deep learning. However, existing pruning-based approaches often fall short in accurately identifying and removing the specific parameters responsible for inducing backdoor behaviors. Despite the dominance o…

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2025

QUT-DV25: A Dataset for Dynamic Analysis of Next-Gen Software Supply Chain Attacks

NeurIPS 2025poster

Securing software supply chains is a growing challenge due to the inadequacy of existing datasets in capturing the complexity of next-gen attacks, such as multiphase malware execution, remote access activation, and dynamic payload generation. Existing datasets, which rely on metadata inspection and…

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2022

What's in the Black Box? The False Negative Mechanisms Inside Object Detectors

RA-L 2022

In object detection, false negatives arise when a detector fails to detect a target object. To understand <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">why</i> object detectors produce false negatives, we identify five ‘false negative mechanisms,’

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