Reconciling bitter rivals: Towards privacy-aware and bandwidth efficient mobile Ads delivery networks. - Aruna Seneviratne; Kanchana Thilakarathna; Suranga Seneviratne; Mohamed Ali Kâafar; Prasant Mohapatra (COMSNETS, 2013)

Characterizing WiFi connection and its impact on mobile users: practical insights. - Suranga Seneviratne; Aruna Seneviratne; Prasant Mohapatra; Pierre-Ugo Tournoux (WiNTECH, 2013)

Predicting user traits from a snapshot of apps installed on a smartphone. - Suranga Seneviratne; Aruna Seneviratne; Prasant Mohapatra; Anirban Mahanti (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2014)

Your Installed Apps Reveal Your Gender and More! - Suranga Seneviratne; Aruna Seneviratne; Prasant Mohapatra; Anirban Mahanti (ACM SIGMOBILE Mob. Comput. Commun. Rev., 2014)

SSIDs in the wild: Extracting semantic information from WiFi SSIDs. - Suranga Seneviratne; Fangzhou Jiang; Mathieu Cunche; Aruna Seneviratne (LCN, 2015)

A measurement study of tracking in paid mobile applications. - Suranga Seneviratne; Harini Kolamunna; Aruna Seneviratne (WISEC, 2015)

Early Detection of Spam Mobile Apps. - Suranga Seneviratne; Aruna Seneviratne; Mohamed Ali Kâafar; Anirban Mahanti; Prasant Mohapatra (WWW, 2015)

PrivMetrics: a framework to secure user privacy in smartphones. - Suranga Seneviratne (2015)

An Analysis of the Privacy and Security Risks of Android VPN Permission-enabled Apps. - Muhammad Ikram 001; Narseo Vallina-Rodriguez; Suranga Seneviratne; Mohamed Ali Kâafar; Vern Paxson (Internet Measurement Conference, 2016)

Characterization of early smartwatch apps. - Jagmohan Chauhan; Suranga Seneviratne; Mohamed Ali Kâafar; Anirban Mahanti; Aruna Seneviratne (PerCom Workshops, 2016)

BreathPrint: Breathing Acoustics-based User Authentication. - Jagmohan Chauhan; Yining Hu 001; Suranga Seneviratne; Archan Misra; Aruna Seneviratne; Youngki Lee 001 (MobiSys, 2017)

Privacy preserving data access scheme for IoT devices. - Mosarrat Jahan; Suranga Seneviratne; Ben Chu; Aruna Seneviratne; Sanjay K. Jha (NCA, 2017)

A deep dive into location-based communities in social discovery networks. - Kanchana Thilakarathna; Suranga Seneviratne; Kamal Gupta; Mohamed Ali Kâafar; Aruna Seneviratne (Comput. Commun., 2017)

A Survey of Wearable Devices and Challenges. - Suranga Seneviratne; Yining Hu 001; Tham Nguyen; Guohao Lan; Sara Khalifa; Kanchana Thilakarathna; Mahbub Hassan; Aruna Seneviratne (IEEE Commun. Surv. Tutorials, 2017)

BreathRNNet: Breathing Based Authentication on Resource-Constrained IoT Devices using RNNs. - Jagmohan Chauhan; Suranga Seneviratne; Yining Hu 001; Archan Misra; Aruna Seneviratne; Youngki Lee 001 (CoRR, 2017)

App Miscategorization Detection: A Case Study on Google Play. - Didi Surian; Suranga Seneviratne; Aruna Seneviratne; Sanjay Chawla (IEEE Trans. Knowl. Data Eng., 2017)

Spam Mobile Apps: Characteristics, Detection, and in the Wild Analysis. - Suranga Seneviratne; Aruna Seneviratne; Mohamed Ali Kâafar; Anirban Mahanti; Prasant Mohapatra (ACM Trans. Web, 2017)

5G Privacy: Scenarios and Solutions. - Madhusanka Liyanage; Jukka Salo; An Braeken; Tanesh Kumar; Suranga Seneviratne; Mika Ylianttila (5G World Forum, 2018)

A First Look at SIM-Enabled Wearables in the Wild. - Harini Kolamunna; Ilias Leontiadis; Diego Perino; Suranga Seneviratne; Kanchana Thilakarathna; Aruna Seneviratne (Internet Measurement Conference, 2018)

Deep Content: Unveiling Video Streaming Content from Encrypted WiFi Traffic. - Ying Li 039; Yi Huang 023; Richard Yi Da Xu; Suranga Seneviratne; Kanchana Thilakarathna; Adriel Cheng; Darren Webb; Guillaume Jourjon (NCA, 2018)

Breathing-Based Authentication on Resource-Constrained IoT Devices using Recurrent Neural Networks. - Jagmohan Chauhan; Suranga Seneviratne; Yining Hu 001; Archan Misra; Aruna Seneviratne; Youngki Lee 001 (Computer, 2018)

A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps. - Jathushan Rajasegaran; Suranga Seneviratne; Guillaume Jourjon (CoRR, 2018)

Performance Characterization of Deep Learning Models for Breathing-based Authentication on Resource-Constrained Devices. - Jagmohan Chauhan; Jathushan Rajasegaran; Suranga Seneviratne; Archan Misra; Aruna Seneviratne; Youngki Lee 001 (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2018)

DeepCaps: Going Deeper With Capsule Networks. - Jathushan Rajasegaran; Vinoj Jayasundara 001; Sandaru Jayasekara; Hirunima Jayasekara; Suranga Seneviratne; Ranga Rodrigo (CVPR, 2019)

Deep Learning Channel Prediction for Transmit Power Control in Wireless Body Area Networks. - Yizhou Yang; David B. Smith 001; Suranga Seneviratne (ICC, 2019)

TextCaps: Handwritten Character Recognition With Very Small Datasets. - Vinoj Jayasundara 001; Sandaru Jayasekara; Hirunima Jayasekara; Jathushan Rajasegaran; Suranga Seneviratne; Ranga Rodrigo (WACV, 2019)

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

Light weight and fine-grained access mechanism for secure access to outsourced data. - Mosarrat Jahan; Suranga Seneviratne; Partha Sarathi Roy 001; Kouichi Sakurai; Aruna Seneviratne; Sanjay K. Jha (Concurr. Comput. Pract. Exp., 2019)

TimeCaps: Capturing Time Series Data with Capsule Networks. - Hirunima Jayasekara; Vinoj Jayasundara 001; Jathushan Rajasegaran; Sandaru Jayasekara; Suranga Seneviratne; Ranga Rodrigo (CoRR, 2019)

Characterizing and Detecting Money Laundering Activities on the Bitcoin Network. - Yining Hu 001; Suranga Seneviratne; Kanchana Thilakarathna; Kensuke Fukuda; Aruna Seneviratne (CoRR, 2019)

Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud. - Zainab Abaid; Arash Shaghaghi; Ravin Gunawardena; Suranga Seneviratne; Aruna Seneviratne; Sanjay Jha 001 (CISIS, 2020)

Poster Abstract: Passive Activity Classification of Smart Homes through Wireless Packet Sniffing. - Kwon Nung Choi; Thilini Dahanayaka; David Kennedy; Kanchana Thilakarathna; Suranga Seneviratne; Salil S. Kanhere; Prasant Mohapatra (IPSN, 2020)

Triplet Mining-based Phishing Webpage Detection. - Kalana Abeywardena; Jiawei Zhao; Lexi Brent; Suranga Seneviratne; Ralph Holz (LCN, 2020)

SETA: Scalable Encrypted Traffic Analytics in Multi-Gbps Networks. - Kwon Nung Choi; Achintha Wijesinghe; Chamara Manoj Madarasingha Kattadige; Kanchana Thilakarathna; Suranga Seneviratne; Guillaume Jourjon (LCN, 2020)

Understanding Traffic Fingerprinting CNNs. - Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (LCN, 2020)

Security Apps under the Looking Glass: An Empirical Analysis of Android Security Apps. - Weixian Yao; Yexuan Li; Weiye Lin; Tianhui Hu; Imran Chowdhury; Rahat Masood; Suranga Seneviratne (LCN, 2020)

Side-channel information leaks of Z-wave smart home IoT devices: demo abstract. - Jung-Chang Liou; Sajal Jain; Sooraj Randhir Singh; Dhit Taksinwarajan; Suranga Seneviratne (SenSys, 2020)

Making Sense of Occluded Scenes using Light Field Pre-processing and Deep-learning. - Namalka Liyanage; Kalana Abeywardena; Sakila S. Jayaweera; Chamith Wijenayake; Chamira U. S. Edussooriya; Suranga Seneviratne (TENCON, 2020)

LoRadar: LoRa sensor network monitoring through passive packet sniffing. - Kwon Nung Choi; Harini Kolamunna; Akila Uyanwatta; Kanchana Thilakarathna; Suranga Seneviratne; Ralph Holz; Mahbub Hassan; Albert Y. Zomaya (Comput. Commun. Rev., 2020)

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

SMAUG: Streaming Media Augmentation Using CGANs as a Defence Against Video Fingerprinting. - Alexander Vaskevich; Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (NCA, 2021)

A Review of Computer Vision Methods in Network Security. - Jiawei Zhao; Rahat Masood; Suranga Seneviratne (IEEE Commun. Surv. Tutorials, 2021)

DronePrint: Acoustic Signatures for Open-set Drone Detection and Identification with Online Data. - Harini Kolamunna; Thilini Dahanayaka; Junye Li 003; Suranga Seneviratne; Kanchana Thilakaratne; Albert Y. Zomaya; Aruna Seneviratne (Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2021)

MusicID: A Brainwave-Based User Authentication System for Internet of Things. - Jinani Sooriyaarachchi; Suranga Seneviratne; Kanchana Thilakarathna; Albert Y. Zomaya (IEEE Internet Things J., 2021)

Power Control for Body Area Networks: Accurate Channel Prediction by Lightweight Deep Learning. - Yizhou Yang; David Smith 001; Jathushan Rajasegaran; Suranga Seneviratne (IEEE Internet Things J., 2021)

SETA++: Real-Time Scalable Encrypted Traffic Analytics in Multi-Gbps Networks. - Chamara Kattadige; Kwon Nung Choi; Achintha Wijesinghe; Arpit Nama; Kanchana Thilakarathna; Suranga Seneviratne; Guillaume Jourjon (IEEE Trans. Netw. Serv. Manag., 2021)

Inline Traffic Analysis Attacks on DNS over HTTPS. - Thilini Dahanayaka; Zhiyi Wang; Guillaume Jourjon; Suranga Seneviratne (LCN, 2022)

Dissecting traffic fingerprinting CNNs with filter activations. - Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (Comput. Networks, 2022)

From traffic classes to content: A hierarchical approach for encrypted traffic classification. - Ying Li 039; Yi Huang 023; Suranga Seneviratne; Kanchana Thilakarathna; Adriel Cheng; Guillaume Jourjon; Darren Webb; David B. Smith 001; Richard Yi Da Xu (Comput. Networks, 2022)

Task adaptive siamese neural networks for open-set recognition of encrypted network traffic with bidirectional dropout. - Yi Huang 023; Ying Li 039; Timothy Heyes; Guillaume Jourjon; Adriel Cheng; Suranga Seneviratne; Kanchana Thilakarathna; Darren Webb; Richard Yi Da Xu (Pattern Recognit. Lett., 2022)

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)

POSTER: Performance Characterization of Binarized Neural Networks in Traffic Fingerprinting. - Yiyan Wang; Thilini Dahanayaka; Guillaume Jourjon; Suranga Seneviratne (AsiaCCS, 2023)

Non-Contrastive Learning-based Behavioural Biometrics for Smart IoT Devices. - Oshan Jayawardena; Fariza Rashid; Suranga Seneviratne (Q2SWinet, 2023)

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

Usability of Privacy Controls in Top Health Websites. - Ravin Gunawardena; Yuemeng Yin; Yi Huang; Rahat Masood; Suranga Seneviratne; Imran Razzak; Nguyen Tran; Aruna Seneviratne (CoRR, 2023)

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

Long-Tail Learning with Rebalanced Contrastive Loss. - Charika De Alvis; Dishanika Denipitiyage; Suranga Seneviratne (CoRR, 2023)

Calibrated reconstruction based adversarial autoencoder model for novelty detection. - Yi Huang 023; Ying Li 039; Guillaume Jourjon; Suranga Seneviratne; Kanchana Thilakarathna; Adriel Cheng; Darren Webb; Richard Yi Da Xu (Pattern Recognit. Lett., 2023)

Robust open-set classification for encrypted traffic fingerprinting. - Thilini Dahanayaka; Yasod Ginige; Yi Huang 023; Guillaume Jourjon; Suranga Seneviratne (Comput. Networks, 2023)

Federated Deep Equilibrium Learning: Harnessing Compact Global Representations to Enhance Personalization. - Long Tan Le; Tuan Dung Nguyen; Tung-Anh Nguyen; Choong Seon Hong; Suranga Seneviratne; Wei Bao 001; Nguyen Hoang Tran (CIKM, 2024)

DEMO : Passive Identification of WiFi Devices in Real-Time. - Niruth Bogahawatta; Gerry How; Yasiru Karunanayake; Suranga Seneviratne; Kanchana Thilakarathna; Salil S. Kanhere; Rahat Masood; Aruna Seneviratne (SIGCOMM (Posters and Demos), 2024)

Demo: P4Xtnd: P4 Programmability on Resource Constrained Environments with Extended Network Functionalities. - Chamara Madarasingha; Thilini Dahanayaka; Kanchana Thilakarathna; Suranga Seneviratne; Young Choon Lee; Salil S. Kanhere; Aruna Seneviratne; Phil Ridley (SIGCOMM (Posters and Demos), 2024)

Evaluating Web-Based Privacy Controls: A User Study on Expectations and Preferences. - Yuemeng Yin; Rahat Masood; Suranga Seneviratne; Aruna Seneviratne (TrustCom, 2024)

Phishing URL detection generalisation using Unsupervised Domain Adaptation. - Fariza Rashid; Ben Doyle; Soyeon Caren Han; Suranga Seneviratne (Comput. Networks, 2024)

A Survey of Deep Long-Tail Classification Advancements. - Charika De Alvis; Suranga Seneviratne (CoRR, 2024)

SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks. - Omid Tavallaie; Kanchana Thilakarathna; Suranga Seneviratne; Aruna Seneviratne; Albert Y. Zomaya (CoRR, 2024)

Entailment-Driven Privacy Policy Classification with LLMs. - Bhanuka Silva; Dishanika Denipitiyage; Suranga Seneviratne; Anirban Mahanti; Aruna Seneviratne (CoRR, 2024)

Single-Sensor Sparse Adversarial Perturbation Attacks Against Behavioral Biometrics. - Ravin Gunawardena; Sandani Jayawardena; Suranga Seneviratne; Rahat Masood; Salil S. Kanhere (IEEE Internet Things J., 2024)

Federated PCA on Grassmann Manifold for IoT Anomaly Detection. - Tung-Anh Nguyen; Long Tan Le; Tuan Dung Nguyen; Wei Bao 001; Suranga Seneviratne; Choong Seon Hong; Nguyen Hoang Tran (IEEE/ACM Trans. Netw., 2024)

State of Obfuscation: A Longitudinal Study of Code Obfuscation Practices in Google Play Store. - Akila Niroshan; Suranga Seneviratne; Aruna Seneviratne (SAC, 2025)

Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection. - Long Tan Le; Tung-Anh Nguyen; Han Shu; Suranga Seneviratne; Choong Seon Hong; Nguyen H. Tran (SDM, 2025)

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

Demo: P4 Based In-network ML with Federated Learning to Secure and Slice IoT Networks. - Chamara Madarasingha; Thilini Dahanayaka; Kanchana Thilakarathna; Suranga Seneviratne; Young Choon Lee; Salil S. Kanhere; Albert Y. Zomaya; Aruna Seneviratne; Phil Ridley (WoWMoM, 2025)

BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection. - Nishavi Ranaweera; Jiarui Xu; Suranga Seneviratne; Aruna Seneviratne (WWW (Companion Volume), 2025)

A Framework to Assess Multilingual Vulnerabilities of LLMs. - Likai Tang; Niruth Bogahawatta; Yasod Ginige; Jiarui Xu; Shixuan Sun; Surangika Ranathunga; Suranga Seneviratne (WWW (Companion Volume), 2025)

LLMs are one-shot URL classifiers and explainers. - Fariza Rashid; Nishavi Ranaweera; Ben Doyle; Suranga Seneviratne (Comput. Networks, 2025)

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

An Empirical Study of Code Obfuscation Practices in the Google Play Store. - Akila Niroshan; Suranga Seneviratne; Aruna Seneviratne (CoRR, 2025)

Detecting Content Rating Violations in Android Applications: A Vision-Language Approach. - Dishanika Denipitiyage; Bhanuka Silva; Suranga Seneviratne; Aruna Seneviratne; Sanjay Chawla (CoRR, 2025)

Personalizing Federated Learning for Hierarchical Edge Networks with Non-IID Data. - Seunghyun Lee; Omid Tavallaie; Shuaijun Chen; Kanchana Thilakarathna; Suranga Seneviratne; Adel Nadjaran Toosi; Albert Y. Zomaya (CoRR, 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)

Detecting and Characterising Mobile App Metamorphosis in Google Play Store. - Dishanika Denipitiyage; Bhanuka Silva; Kavishka Gunathilaka; Suranga Seneviratne; Anirban Mahanti; Aruna Seneviratne; Sanjay Chawla (IEEE Trans. Mob. Comput., 2025)