4 papers
SEED: Semi-supervised Continual MalwarE Detection for Tackling ConcEpt Drift on a BuDget
Suresh Kumar Amalapuram, Bikraj Shresta, Siva Ram murthy Chebiyam +2
Machine learning based malware detectors become obsolete over time due to concept drift in benign and malware applications. Recent methods rely on fully labeled data and use hierar…
Exploring Compositionality in Vision Transformers using Wavelet Representations
Akshad Shyam Purushottamdas, Pranav K Nayak, Divya Mehul Rajparia +4
While insights into the workings of the transformer model have largely emerged by analysing their behaviour on language tasks, this work investigates the representations learnt by…
SOUL: A Semi-supervised Open-world continUal Learning method for Network Intrusion Detection
Suresh Kumar Amalapuram, Shreya Kumar, Bheemarjuna Reddy Tamma +1
Fully supervised continual learning methods have shown improved attack traffic detection in a closed-world learning setting. However, obtaining fully annotated data is an arduous t…
Subjective and Objective Quality Assessment Methods of Stereoscopic Videos with Visibility Affecting Distortions
Sria Biswas, Balasubramanyam Appina, Priyanka Kokil +1
We present two major contributions in this work: 1) we create a full HD resolution stereoscopic (S3D) video dataset comprised of 12 reference and 360 distorted videos. The test sti…