46 citations · 99 across the 27 of their papers we have counts for
6 papers · 1 filter
RankOOD -- Class Ranking-based Out-of-Distribution Detection
Dishanika Denipitiyage, Naveen Karunanayake, Suranga Seneviratne +1
We propose RankOOD, a rank-based Out-of-Distribution (OOD) detection approach based on training a model with the Placket-Luce loss, which is now extensively used for preference ali…
Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data
Seunghyun Lee, Omid Tavallaie, Shuaijun Chen +4
Accommodating edge networks between IoT devices and the cloud server in Hierarchical Federated Learning (HFL) enhances communication efficiency without compromising data privacy. H…
BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection
Nishavi Ranaweera, Jiarui Xu, Suranga Seneviratne +1
Web access today occurs predominantly through mobile devices, with Android representing a significant share of the mobile device market. This widespread usage makes Android a prime…
A Framework to Assess Multilingual Vulnerabilities of LLMs
Likai Tang, Niruth Bogahawatta, Yasod Ginige +4
Large Language Models (LLMs) are acquiring a wider range of capabilities, including understanding and responding in multiple languages. While they undergo safety training to preven…
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection
Long Tan Le, Tung-Anh Nguyen, Han Shu +3
The proliferation of edge devices has dramatically increased the generation of multivariate time-series (MVTS) data, essential for applications from healthcare to smart cities. Suc…
An Empirical Study of Code Obfuscation Practices in the Google Play Store
Akila Niroshan, Suranga Seneviratne, Aruna Seneviratne
The Android ecosystem is vulnerable to issues such as app repackaging, counterfeiting, and piracy, threatening both developers and users. To mitigate these risks, developers often…