A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. - Jathushan Rajasegaran; Naveen Karunanayake; Ashanie Gunathillake; Suranga Seneviratne; Guillaume Jourjon (WWW, 2019)

Towards a Smart Opponent for Board Games: Learning beyond Simulations. - Naveen Karunanayake; Achintha Wijesinghe; Chameera Wijethunga; Chinthani Kumaradasa; Peshala Jayasekara; Ranga Rodrigo (SMC, 2020)

Privacy-Preserving Spam Filtering using Functional Encryption. - Sicong Wang; Naveen Karunanayake; Tham Nguyen; Suranga Seneviratne (CoRR, 2020)

A Multi-Modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store. - Naveen Karunanayake; Jathushan Rajasegaran; Ashanie Gunathillake; Suranga Seneviratne; Guillaume Jourjon (IEEE Trans. Mob. Comput., 2022)

Privacy-preserving spam filtering using homomorphic and functional encryption. - Tham Nguyen; Naveen Karunanayake; Sicong Wang; Suranga Seneviratne; Peizhao Hu (Comput. Commun., 2023)

ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection. - Naveen Karunanayake; Suranga Seneviratne; Sanjay Chawla (CoRR, 2023)

CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection. - Naveen Karunanayake; Suranga Seneviratne; Sanjay Chawla (WACV, 2025)

ExCeL: Combined Extreme and Collective Logit Information for Out-of-Distribution Detection. - Naveen Karunanayake; Suranga Seneviratne; Sanjay Chawla (Trans. Mach. Learn. Res., 2025)

Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks. - Naveen Karunanayake; Bhanuka Silva; Yasod Ginige; Suranga Seneviratne; Sanjay Chawla (ACM Trans. Priv. Secur., 2025)

Out-of-Distribution Data: An Acquaintance of Adversarial Examples - A Survey. - Naveen Karunanayake; Ravin Gunawardena; Suranga Seneviratne; Sanjay Chawla (ACM Comput. Surv., 2025)