Conformal Prediction for Offensive Security

Despite its introduction more than a quarter century ago, Conformal Prediction CP has seen surprisingly few applications to the cyber security world thus far. In particular, we observe that, while CP has been employed as a defensive measure in many recent works, its use for carrying out attacks...

When Modalities Fail to Tango: Conformal Backdoor Detection in Multimodal Contrastive Learning

Backdoor attacks in multimodal contrastive learning MCL have garnered growing attention in recent years, as many downstream tasks critically depend on pre-trained MCL models. Existing detection-based defenses predominantly rely on the CLIPScore metric, under the assumption that poisoned pairs...

Enhancing Decision-Making in Windows PE Malware Classification during Dataset Shifts with Uncertainty Estimation

Artificial intelligence techniques have achieved strong performance in classifying Windows Portable Executable PE malware, but their reliability often degrades under dataset shifts, leading to misclassifications with severe security consequences. To address this, we enhance an existing LightGBM...

CertDW: Towards Certified Dataset Ownership Verification via Conformal Prediction

Deep neural networks DNNs rely heavily on high-quality open-source datasets e.g., ImageNet for their success, making dataset ownership verification DOV crucial for protecting public dataset copyrights. In this paper, we find existing DOV methods implicitly assume that the verification process is...