PASA: Attack Agnostic Unsupervised Adversarial Detection using Prediction & Attribution Sensitivity Analysis

no code implementations • 12 Apr 2024 • Dipkamal Bhusal, Md Tanvirul Alam, Monish K. Veerabhadran, Michael Clifford, Sara Rampazzi, Nidhi Rastogi

However, we observe that both model predictions and feature attributions for input samples are sensitive to noise.

MORPH: Towards Automated Concept Drift Adaptation for Malware Detection

no code implementations • 23 Jan 2024 • Md Tanvirul Alam, Romy Fieblinger, Ashim Mahara, Nidhi Rastogi

Concept drift is a significant challenge for malware detection, as the performance of trained machine learning models degrades over time, rendering them impractical.

Active Learning Malware Detection +2

Looking Beyond IoCs: Automatically Extracting Attack Patterns from External CTI

1 code implementation • 1 Nov 2022 • Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi

The framework characterizes attack patterns by capturing the phases of an attack in Android and enterprise networks and systematically maps them to the MITRE ATT\&CK pattern framework.

CyNER: A Python Library for Cybersecurity Named Entity Recognition

1 code implementation • 8 Apr 2022 • Md Tanvirul Alam, Dipkamal Bhusal, Youngja Park, Nidhi Rastogi

Open Cyber threat intelligence (OpenCTI) information is available in an unstructured format from heterogeneous sources on the Internet.

named-entity-recognition Named Entity Recognition +1