Publications - Networked Systems and Security Research Lab

2026

S. Lee, O. Tavallaie, S. Chen, K. Thilakarathna, S. Seneviratne, A. N. Toosi and A. Zomaya, “Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data”, IEEE Internet of Things Journal, 2026.
C. Chang, Y. Li, S. Seneviratne, X. Cai, “ICT-META: in-Context Aware Few-Shot Learner for Encrypted Traffic Classification”, IEEE Transactions on Machine Learning in Communications and Networking (TMLCN), 2026.
N. Bogahawatte, Y. Karunanayake, S. Seneviratne, K. Thilakarathna, R. Masood, S. Kanhere, A. Seneviratne, A. Zomaya, “Device Type Classification Using WiFi Probe Requests: From Signals to Insights”, IEEE Transactions on Mobile Computing (TMC), 2026.

2025

Y. Ginige, B. Silva, T. Dahanayaka, S. Seneviratne, “TrafficLLM: An LLM Approach for Open-Set Encrypted Traffic Classification”, Elsevier Computer Networks, 2025.
Charika De Alvis, D. Denipitiyage, S. Seneviratne, “Long-Tail Learning with Rebalanced Contrastive Loss”, Elsevier NeuroComputing, 2025.
D. Denipitiyage, B. Silva, K. Gunathilaka, S. Seneviratne, A. Mahanti, A. Seneviratne, “Detecting and Characterising Mobile App Metamorphosis in Google Play Store“, IEEE Transactions on Mobile Computing (TMC), 2025.
N. Karunanayake, R. Gunawardena, S. Seneviratne, S. Chawla, “Out-of-Distribution Data: An Acquaintance of Adversarial Examples – A Survey”, ACM Computing Surveys (CSUR), 2025.
N. Karunanayake, B. Silva, Y. Ginige, S. Seneviratne, S. Chawla, “Quantifying and Exploiting Adversarial Vulnerability: Gradient-Based Input Pre-Filtering for Enhanced Performance in Black-Box Attacks”, ACM Transactions on Privacy and Security (TOPS), 2025.
N. Karunanayake, S. Seneviratne, S. Chawla, “ExCeL : Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection”, Transactions on Machine Learning Research (TMLR), 2025.
F. Rashid, N. Ranaweera, B. Doyle, S. Seneviratne, “LLMs are One-shot URL Classifiers and Explainers”, Elsevier Computer Networks, 2025

2024

R. Gunawardena, S. Jayawardena, S. Seneviratne, R. Masood, S. Kanhere, Single-Sensor Sparse Adversarial Perturbation Attacks Against Behavioural Biometrics In proceedings of IEEE Internet of Things Journal (IOTJ).
F. Rashid, B. Doyle, S.C. Han, S. Seneviratne, Phishing URL detection generalisation using Unsupervised Domain Adaptation In proceedings of Elsevier Computer Networks 2024 (Slides)

2023

T. Dahanayaka, Y. Ginige, Y. Huang, G. Jourjon, S. Seneviratne, Robust Open-Set Classification for Encrypted Traffic Fingerprinting, Elsevier Computer Networks.
Nguyen, T., Karunanayake, N., Wang, S., Seneviratne, S., & Hu, P. (2023). Privacy-preserving spam filtering using homomorphic and functional encryption. Computer Communications, 197, 230-241.
Huang, Y., Li, Y., Jourjon, G., Seneviratne, S., Thilakarathna, K., Cheng, A., Webb D., and Da Xu, R. Y. (2023). Calibrated Reconstruction Based Adversarial AutoEncoder Model for Novelty Detection. Pattern Recognition Letters.

2022

Huang, Y., Li, Y., Heyes, T., Jourjon, G., Cheng, A., Seneviratne, S., Thilakarathna K., Webb, D. and Da Xu, R. Y. (2022). Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. Pattern Recognition Letters, 159, 132-139.
T. Dahanayaka, G. Jourjon, S. Seneviratne, “Dissecting Traffic Fingerprinting CNNs with Filter Activations“, In proceedings of Elsevier Computer Networks, 2022.
Li, Y., Huang, Y., Seneviratne, S., Thilakarathna, K., Cheng, A., Jourjon, G., Webb, D., Smith, D.B. and Da Xu, R.Y., 2022. “From traffic classes to content: A hierarchical approach for encrypted traffic classification“. In proceedings of Elsevier Computer Networks, p.109017.
Karunanayake, N., Rajasegaran, J., Gunathillake, A., Seneviratne, S., Jourjon, G. (2022). A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store. IEEE Transactions on Mobile Computing, 21(1), 16-30.

2021

Zhao, J., Masood, R., & Seneviratne, S. “A Review of Computer Vision Methods in Network Security“. In Proceedings of IEEE Communications Surveys & Tutorials, 2021.
C. Kattadige, K. N. Choi, Y. A. Wijesinghe, A. Nama, K. Thilakarathna, S. Seneviratne, G. Jourjon, “SETA: Scalable Encrypted Traffic Analytics in Multi-Gbps Networks“, In Proceedings of IEEE Transactions on Network and Service Management.
H. Kolamunna, T. Dahanayaka, J. Li, S. Seneviratne, K. Thilakarathna, A. Zomaya, and A. Seneviratne, “DronePrint: Acoustic Signatures for Open-set Drone Detection and Identification with Online Data,” In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), 5, 1, Article 20 (March 2021) (pdf).
Sooriyaarachchi, J., Seneviratne, S., Thilakarathna, K., & Zomaya, A. Y. (2020). “MusicID: A Brainwave-based User Authentication System for Internet of Things“. In Proceedings of the IEEE Internet of Things Journal (IOTJ), vol. 8, no. 10, pp. 8304-8313, 15 May, 2021.

2020

K. Choi, H. Kolamunna, A. Uyanwatta, K. Thilakarathna, S. Seneviratne, R. Holz, M. Hassan, A. Zomaya, “LoRadar: LoRa Sensor Network Monitoring through Passive Packet Sniffing“, In Proceedings of the ACM SIGCOMM Computer Communication Review (CCR), 50, 4 (October 2020), 10–24.

2018

J. Chauhan, J. Rajasegaran, S. Seneviratne, A. Misra, Y. Lee, and A. Seneviratne, “Performance characterization of deep learning models for breathing-based authentication on resource-constrained devices,” In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2(4), 158. 2018.
M. Jahan, S. Seneviratne, P.S. Roy, K. Sakurai, A. Seneviratne, S. Jha, “Light weight and fine-grained access mechanism for secure access to outsourced data“. In Proceedings of Concurrency and Computation: Practice and Experience (CCPE), 2018.e4736.
J. Chauhan, S. Seneviratne, A. Misra, A. Seneviratne, Y. Lee, “BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs“. In Proceedings of IEEE Computer 51.5 (2018): 60-67.

2017

S. Seneviratne, Y. Hu, T. Nguyen, G. Lan, S. Khalifa, K. Thilakarathna, M. Hassan, A. Seneviratne, “A Survey of Wearable Devices and Challenges“. In Proceedings of IEEE Communications Surveys & Tutorials (COMST), 19(4), 2573-2620, 2017.
D. Surian, S. Seneviratne, A. Seneviratne, and S. Chawla, “App Mis-categorization Detection: A Case Study on Google Play“. In Proceedings of IEEE Transactions on Data and Knowledge Engineering (TKDE), 2017.
S. Seneviratne, A. Seneviratne, M. A. Kaafar, A. Mahanti, P. Mohapatra. “Spam Mobile Apps: Characteristics, Detection, and in the Wild Analysis“. In Proceedings of ACM Transactions on the Web (TWEB): Volume 11 Issue 1, April 2017.
T. Thilakarathna, S. Seneviratne, K. Gupta, M. A. Kaafar, A. Seneviratne. “A Deep Dive into Location-based Communities in Social Discovery Networks“, In Proceedings of Elsevier Computer Communications (COMCOM), 2017.

2015

S. Seneviratne, A. Seneviratne, P. Mohapatra, A. Mahanti. “Your Installed Apps Reveals Your Gender and More!”. In Proceedings of the ACM SIGMOBILE Computing and Communications Review (MCCR) Volume 18 Issue 3 p55-6, 2015.

2014

S. Seneviratne, A. Seneviratne, P. Mohapatra, A. Mahanti. “Predicting user traits from a snapshot of apps installed on a smartphone”. In Proceedings of the ACM SIGMOBILE Computing and Communications Review (MCCR) Volume 18 Issue 2 p1-8, 2014.

2026

K. H. Tseng, N. Bogahawatta, Y. Ginige, K. Dakic, A. Sivanathan, S. Seneviratne, “SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting”, 51st IEEE Local Computer Networks (LCN), 2026.
R. Gunawardena, S. Seneviratne, R. Masood, S. Kanhere, “Short: ForeShadow: Real-Time Predictive Adversarial Attacks Against Time Series Classifiers”, 51st IEEE Local Computer Networks (LCN), 2026.
H. Trikilis, F. Rashid, P. Marasinghe, S. Seneviratne, “Short: Eliciting Least-to-Most Reasoning for Phishing URL Detection”, 51st IEEE Local Computer Networks (LCN), 2026.
D. Denipitiyage, N. Karunanayake, S. Seneviratne, S. Chawla, “RankOOD – Class Ranking-based Out-of-Distribution Detection”, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2026.
D. V. Le, G. Gupta, F. Rashid, R. Masood, G. Batista, S. Seneviratne, A. Seneviratne, “Task-Driven Diffusion Denoising for Robust Multimodal Behavioural Biometrics”, The 22nd Annual International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT 2026).

2025

Y. Ginige, A. Niroshan, S. Jain, S. Seneviratne, “AutoPentester: An LLM Agent-Based Framework for Automated Pentesting”, 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2025.
D. Denipitiyage, B. Silva, S. Seneviratne, A. Seneviratne, S. Chawla, “Detecting Content Rating Violations in Android Applications: A Vision-Language Approach”, 24th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2025.
F. Rashid, B. Doyle, S. Seneviratne, “FeUDA-BERT: Federated URL Domain-Aware BERT for Phishing URL Detection”, 50th IEEE Local Computer Networks (LCN), 2025.
N. Ranaweera, J. Xu, S. Seneviratne, A. Seneviratne, ‘BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection”, Temporal Web Analytics Workshop (TempWeb) in Conjunction with The Web Conference (WWW), 2025.
L. Tang, N. Bogahawatta, Y. Ginige, J. Xu, S. Sun, S. Ranathunga, S. Seneviratne, “A Framework to Assess Multilingual Vulnerabilities of LLMs ”, The Web Conference (WWW) – Short Paper Track, 2025.
R. Gunawardena, N. Karunanayake, S. Seneviratne, R. Masood, S. Kanhere, “G-DCAP: Stealthy Adversarial Attacks on Multi-Sensor IoT Systems“, IEEE International Conference on Distributed Computing in Smart Systems and the Internet of Things (DCOSS-IoT), 2025.
N. Karunanayake, S. Seneviratne, S. Chawla, “CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection”, IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025.
A. Niroshan, S. Seneviratne, A. Seneviratne, “Poster: State of Obfuscation: A Longitudinal Study of Code Obfuscation Practices in Google Play Store”, 39th ACM/SIGAPP Symposium On Applied Computing, 2025.

2024

B. Silva, D. Denipitiyage, S. Seneviratne, A. Mahanti, A. Seneviratne, “Entailment-Driven Privacy Policy Classification with LLMs”, IEEE BuildSec Building a Secure & Empowered Cyberspace, 2024.
Y. Ginige, T. Dahanayaka, S. Seneviratne, “TrafficGPT: An LLM Approach for Open-Set Encrypted Traffic Classification”, 19th Asian Internet Engineering Conference (AINTEC), 2024.
N. Bogahawatte, Y. Karunanayake, S. Seneviratne, K. Thilakarathna, R. Masood, S. Kanhere, A. Seneviratne, “Passive Identification of WiFi Devices At-Scale: A Data-Driven Approach”, 49th IEEE Local Computer Networks (LCN), 2024.
N. Bogahawatte, Y. H. How, Y. Karunanayake, S. Seneviratne, K. Thilakarathna, R. Masood, S. Kanhere, A. Seneviratne, “DEMO: Passive Identification of WiFi Devices in Real-Time”, 38th ACM Special Interest Group on Data Communication (SIGCOMM), 2024.
C. Kattadige, T. Dahanayaka, K. Thilakarathna, S. Seneviratne, Y. C. Lee, S. Kanhere, A. Zomaya, A. Seneviratne and P. Ridley, ”Demo: P4Xtnd: P4 Programmability on Resource Constrained Environments with Extended Network Functionalities”, 38th ACM Special Interest Group on Data Communication (SIGCOMM), 2024.
C. Kattadige, T. Dahanayaka, K. Thilakarathna, S. Seneviratne, Y. C. Lee, S. Kanhere, A. Zomaya, A. Seneviratne and P. Ridley, ”Demo: P4 Based In-network ML with Federated Learning to Secure and Slice IoT Networks”, In Proceeding of the 25th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks (WoWMoM) (WoWMoM), 2024.

2023

O. Jayawardana, F. Rashid, S. Seneviratne, POSTER: Non-contrastive learning based Behavioural Biometrics, In Proceedings of Q2SWinet ’23 in conjunction with the 19th ACM International Symposium on QoS and Security for Wireless and Mobile Networks (MSwim), 2023.
Wang, Y., Dahanayaka, T., Jourjon, G., & Seneviratne, S. (2023, July). POSTER: Performance Characterization of Binarized Neural Networks in Traffic Fingerprinting. In Proceedings of the 2023 ACM Asia Conference on Computer and Communications Security (pp. 1034-1036).

2022

Dahanayaka, T., Wang, Z., Jourjon, G., & Seneviratne, S. (2022, September). Inline Traffic Analysis Attacks on DNS over HTTPS. In 2022 IEEE 47th Conference on Local Computer Networks (LCN) (pp. 132-139). IEEE.

2021

A. Vaskevich, T. Dahanayaka, G. Jourjon, S. Seneviratne, “SMAUG: Streaming Media Augmentation Using CGANs as a Defence Against Video Fingerprinting”, In proceedings of the 20th IEEE International Symposium on Network Computing and Applications (NCA) 2021. (Paper)

2020

T. Dahanayaka, G. Jourjon, S. Seneviratne, “Understanding Traffic Fingerprinting CNNs“, In proceedings of the 2020 IEEE 45th Conference on Local Computer Networks (LCN). (Slides)
K. Abeywardena, J. Zhao, L. Brent, S. Seneviratne, R. Holz, “Triplet Mining-based Phishing Webpage Detection“, In proceedings of the 2020 IEEE 45th Conference on Local Computer Networks (LCN). (Slides) (Paper )
K. N. Choi, Y. A. Wijesinghe, C. Kattadige, K. Thilakarathna, S. Seneviratne, G. Jourjon, “SETA: Scalable Encrypted Traffic Analytics in Multi-Gbps Networks“, In proceedings of the 2020 IEEE 45th Conference on Local Computer Networks (LCN).
N. Liyanage, S. Jayaweera, C. Wijenayake, C. Edussooriya, S. Seneviratne, “Making Sense of Occluded Scenes: A combined approach of light field pre-processing and deep-learning”, In proceedings of the IEEE Region 10 Conference 2020 (TENCON).
J-C. Liou, S. Jain, S. Randhir, D. Taksinwarajan, S. Seneviratne, “Demo Abstract: Side-Channel Information Leaks of Z-Wave Smart Home IoT Devices”, In Proceedings of ACM Conference on Embedded Networked Sensor Systems (SenSys), 2020.
H. Kolamunna, J. Li, T. Dahanayaka, S. Seneviratne, K. Thilakarathna, A. Zomaya, and A. Seneviratne, “POSTER: AcousticPrint: Acoustic Signature based Open Set Drone Identification“, In Proceedings of 13th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec) 2020.
Z. Abaid, A. Shaghaghi, R. Gunawardena, S. Seneviratne, A. Seneviratne, S. Jha, “Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud“, In Proceedings of 13th International Conference on Computational Intelligence in Security for Information Systems (CISIS) 2020.
K. N. Choi, T. Dahanayaka, D. Kennedy, K. Thilakarathna, S. Seneviratne, S. Kanhere, P. Mohapatra, “POSTER ABSTRACT: Passive Activity Classification of Smart Homes through Wireless Packet Sniffing“, In Proceedings of The International Conference on Information Processing in Sensor Networks (IPSN), 2020.

2019

J. Rajasegaran, N. Karunanayake, A. Gunathillake, S. Seneviratne, G. Jourjon, “A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps“, In Proceedings of The Web Conference 2019 (WWW). PDF
J. Rajasegaran, V. Jayasundara, S. Jayasekara, H. Jayasekara, R. Rodrigo, S. Seneviratne. 2019, “DeepCaps: Going Deeper with Capsule Networks“, In Proceedings of the 2019 Conference on Computer Vision and Pattern Recognition (CVPR’19)
Y. Yang, D. Smith, S. Seneviratne, “Deep Learning Channel Prediction for Transmit Power Control in Wireless Body Area Networks“, In Proceedings of 2019 IEEE International Conference on Communications (ICC): Ad Hoc and Sensor Networks Symposium.
V. Jayasundara, S. Jayasekara, H. Jayasekara, J. Rajasegaran, R. Rodrigo, S. Seneviratne, “TextCaps : Handwritten Character Recognition with Very Small Datasets“, In Proceedings of the IEEE Winter Conference on Applications of Computer Vision (WACV), 2019.

2018

Y. Li, Y. Huang, S. Seneviratne, K. Thilakarathna, A. Cheng, G. Jourjon, D. Webb, R. Xu, “Deep Content: Unveiling Video Streaming Content From Encrypted WiFi Traffic”, In Proceedings of the 17th IEEE International Symposium on Network Computing and Applications (NCA), 2018.
H. Kolamunna, I. Leontiadis, D. Perino, S. Seneviratne, K. Thilakarathna, A. Seneviratne. “A First Look at SIM-Enabled Wearables in the Wild“. In Proceedings of the 18th ACM SIGCOMM Internet Measurements Conference (IMC 2018).

2017

M. Jahan, S. Seneviratne, B. Chu, A. Seneviratne, S. Jha. “Privacy preserving data access scheme for IoT devices“. In Proceedings of the 16th IEEE International Symposium on Network Computing and Applications (NCA 2017).
J. Chauhan, Y. Hu, S. Seneviratne, A. Misra, A. Seneviratne, Y. Lee. ”BreathPrint: Breathing Acoustics-based User Authentication”. In Proceedings of ACM International Conference on Mobile Systems, Applications, and Services (MobiSys), 2017, (Video)

2016

J. Chauhan, S. Seneviratne, M. A. Kaafar, A. Mahanti, A. Seneviratne. “Characterization of Early Smartwatch Apps“. In Proceedings of the Workshop on Sensing Systems and Applications Using Wrist Worn Smart Devices (WristSense) in conjunction with IEEE Percom, 2016.
M. Ikram, N. V. Rodriguez, S. Seneviratne, M.A. Kaafar, V. Paxon, “An analysis of the Privacy and Security Risks of Android VPN Permission-enabled Apps”. In Proceedings of the ACM Internet Measurement Conference (IMC), 2016.

2015

A. Seneviratne, K. Thilakarathna, S. Seneviratne, M. A. Kaafar, P. Mohapatra. “Reconciling Bitter Rivals: Towards Privacy-Aware and Bandwidth Efficient Mobile Ads Delivery Networks”. In Proceedings of the 8th COMSNETS, 2012.
S. Seneviratne, A. Seneviratne, M. A. Kaafar, A. Mahanti, P. Mohapatra. “Early Detection of Spam Mobile Apps”. In Proceedings of the 24th International Conference on World Wide Web (WWW), 2015.
S. Seneviratne, H. Kolammune, A. Seneviratne. “Short: A Measurement Study of Tracking in Paid Mobile Applications”. In Proceedings of the 8th ACM Conference on Security and Privacy in Wireless and Mobile Networks (WiSec), 2015.
S. Seneviratne, F. Jian, M. Cunche, A. Seneviratne. “Short: SSIDs in the Wild: Extracting Semantic Information From WiFi SSIDs”. In Proceedings of the 40th IEEE Local Computer Networks (LCN), 2015.

2014

S. Seneviratne, A. Seneviratne, P. Mohapatra, A. Mahanti. “Your Installed Apps Reveals Your Gender and More!”. In Proceedings of the 1st Workshop on Security and Privacy aspects of Mobile Environments (SPME) in Conjunction with ACM MobiCom 2014.
S. Seneviratne, A. Seneviratne, J. Kestenare. “PrivMetrics: A Framework for Quantifying User Privacy in Smartphones”. W3C Workshop on Privacy and User-Centric Controls, 2014.

2013

S. Seneviratne, A. Seneviratne, P. Mohapatra, P.U. Tournoux “Characterising WiFi Connection And Its Impact On Mobile Users: Practical Insights”. In Proceedings of the 8th ACM International Workshop on Wireless Network Testbeds, Experimental Evaluation and Characterisation (WINTECH) in Conjunction with ACM MobiCom, 2013.
S. Seneviratne, A. Seneviratne, P. Mohapatra. “Personal cloudlets for privacy and resource efficiency in mobile in-app advertising”. In Proceedings of the 1st International Workshop on Mobile Cloud Computing and Networking (MCC) in conjunction with ACM MobiHoc 2013.

2026

Tseng, K. H., Bogahawatta, N., Ginige, Y., Dekic, K., Sivanathan, A., & Seneviratne, S. (2026). “SADE: Symptom-Aware Diagnostic Escalation for LLM-Based Network Troubleshooting“. arXiv preprint arXiv:2605.04530.
Ginige, Y., Marasinghe, P., Jain, S., & Seneviratne, S. (2026). “Pen-Strategist: A Reasoning Framework for Penetration Testing Strategy Formation and Analysis“. arXiv preprint arXiv:2605.04499.
Denipitiyage, D., Seneviratne, A., & Seneviratne, S. (2026). “QwenSafe: Multimodal Content Rating Description Identification via Preference-Aligned VLMs“. arXiv preprint arXiv:2605.20584.
B. Silva, A. Mahanti, A. Seneviratne, S. Seneviratne, “PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store“, arXiv:2604.22157v1, (2026).
B. Silva, D. Denipitiyage, A. Mahanti, A. Seneviratne, S. Seneviratne, “PrivPRISM: Automatically Detecting Discrepancies Between Google Play Data Safety Declarations and Developer Privacy Policies“, arXiv:2603.09214v1, (2026).
H. Trikilis, F. Rashid, P. Marasinghe, S. Seneviratne, “Eliciting Least-to-Most Reasoning for Phishing URL Detection”, arXiv preprint arXiv:2511.19996 (2026)

2025

D. Denipitiyage, N. Karunanayake, S. Seneviratne, S. Chawla, “RankOOD – Class Ranking-based Out-of-Distribution Detection”, arXiv preprint arXiv:2511.19996 (2025)
L. Tang, N. Bogahawatta, Y. Ginige, J. Xu, S. Sun, S. Ranathunga, S. Seneviratne, “A Framework to Assess Multilingual Vulnerabilities of LLMs“, arXiv preprint arXiv:2503.13081 (2025).
N. Ranaweera, J. Xu, S. Seneviratne, A. Seneviratne, “BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection“, arXiv preprint arXiv:2503.18043 (2025).
A. Niroshan, S. Seneviratne, A. Seneviratne, “An Empirical Study of Code Obfuscation Practices in the Google Play Store”, arXiv preprint arXiv:2502.04636v1 (2025).
Ginige, Y., Silva, B., Dahanayaka, T., Seneviratne, S. TrafficLLM: LLMs for Improved Open-Set Encrypted Traffic Analysis. Available at SSRN 5074974.

2024

Fariza Rashid, Nishavi Ranaweera, Ben Doyle, Suranga Seneviratne. “LLMs are One-Shot URL Classifiers and Explainers” arXiv preprint arXiv:2409.14306 (2024).
D. Denipitiyage, B. Silva, K. Gunathilaka, S. Seneviratne, A. Mahanti, A. Seneviratne, S. Chawla. “Detecting and Characterising Mobile App Metamorphosis in Google Play Store” arXiv preprint arXiv:2407.14565 (2024).
De Alvis, Charika and Suranga Seneviratne. “A Survey of Deep Long-Tail Classification Advancements.” arXiv preprint arXiv:2404.15593 (2024).
Karunanayake, Naveen, Ravin Gunawardena, Suranga Seneviratne, and Sanjay Chawla. “Out-of-Distribution Data: An Acquaintance of Adversarial Examples – A Survey” arXiv preprint arXiv:2404.05219 (2024).

2023

De Alvis, Charika, Dishanika Denipitiyage, and Suranga Seneviratne. “Long-Tail Learning with Rebalanced Contrastive Loss.” arXiv preprint arXiv:2312.01753 (2023).
Karunanayake, Naveen, Suranga Seneviratne, and Sanjay Chawla. “ExCeL: Combined Extreme and Collective Logit Information for Enhancing Out-of-Distribution Detection.” arXiv preprint arXiv:2311.14754 (2023).
Gunawardena, Ravin, Yuemeng Yin, Yi Huang, Rahat Masood, Suranga Seneviratne, Imran Razzak, Nguyen Tran, and Aruna Seneviratne. “Usability of Privacy Controls in Top Health Websites.” arXiv preprint arXiv:2303.01838 (2023).

2022

Jayawardana, O., Rashid, F., & Seneviratne, S. (2022). Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices. arXiv preprint arXiv:2210.12964.