By Professor Aruna Prasad Seneviratne

Conference Abstracts

Ye T; Wang Y; Ma T; Li K; Nath SK; Mishra D; Kilani M; Seneviratne A, 2026, 'Poster Abstract: Edge-AI Enabled Wi-Fi Sensing for Gas Type and Coarse Concentration Classification', in Proceedings 2026 ACM IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems Posters and Demos Sensys Adjunct 2026, pp. 111 - 112, http://dx.doi.org/10.1109/SenSys-Adjunct71932.2026.00065

Koo R; Acharige PM; Mishra D; Seneviratne A, 2026, 'Poster Abstract: Lightweight Gain-Phase Correction for Practical Wi-Fi Sensing on Embedded Devices', in Proceedings 2026 ACM IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems Posters and Demos Sensys Adjunct 2026, pp. 63 - 64, http://dx.doi.org/10.1109/SenSys-Adjunct71932.2026.00041

Koo R; Gosman T; Mishra D; Batista G; Gharakheili HH; Seneviratne A, 2026, 'Poster Abstract: Privacy-Generalisation Trade-Offs in Federated Learning for Cross-Room Wi-Fi Sensing', in Proceedings 2026 ACM IEEE International Conference on Embedded Artificial Intelligence and Sensing Systems Posters and Demos Sensys Adjunct 2026, pp. 133 - 134, http://dx.doi.org/10.1109/SenSys-Adjunct71932.2026.00076

Patents

Mishra D; Seneviratne A, 2021, System and method of detecting environmental changes using wireless sensing, Patent No.

Mishra D; Seneviratne A, 2021, Network traffic classification apparatus and process, Patent No. PCT/AU2021/050397

Working Papers

Michelin RA; Ahmed N; Kanhere SS; Seneviratne A; Jha S, 2020, Leveraging lightweight blockchain to establish data integrity for surveillance cameras, Institute of Electrical and Electronics Engineers (IEEE), http://dx.doi.org10.1109/ICBC48266.2020.9169429

Media

Seneviratne A; Martin N; Mishra D, 2022, New inexpensive Wi-Fi system improves fire detection, https://newsroom.unsw.edu.au/news/science-tech/new-inexpensive-wi-fi-system-improves-fire-detection

Preprints

Denipitiyage D; Seneviratne A; Seneviratne S, 2026, QwenSafe: Multimodal Content Rating Description Identification via Preference-Aligned VLMs, http://dx.doi.org/10.48550/arxiv.2605.20584

Silva B; Mahanti A; Seneviratne A; Senevirante S, 2026, PrivSTRUCT: Untangling Data Purpose Compliance of Privacy Policies in Google Play Store, http://dx.doi.org/10.48550/arxiv.2604.22157

Denipitiyage D; Silva B; Gunathilaka K; Seneviratne S; Mahanti A; Seneviratne A; Chawla S, 2026, Detecting and Characterising Mobile App Metamorphosis in Google Play Store, http://dx.doi.org/10.48550/arxiv.2407.14565

Silva B; Denipitiyage D; Mahanti A; Seneviratne A; Seneviratne S, 2026, PrivPRISM: Automatically Detecting Discrepancies Between Google Play Data Safety Declarations and Developer Privacy Policies, http://dx.doi.org/10.48550/arxiv.2603.09214

Udugampola N; Ai X; Li B; Gong H; Seneviratne A, 2025, A Position- and Energy-Aware Routing Strategy for Subterranean LoRa Mesh Networks, http://dx.doi.org/10.48550/arxiv.2510.03714

Zeng J; Mishra D; Bouhafs F; Yuan J; Seneviratne A, 2025, Safeguarding Monostatic Backscattering to MIMO Reader Against Jamming: Channel Estimation and Fairness Aware Beamforming, http://dx.doi.org/10.36227/techrxiv.175623100.00290637/v1

Ranaweera K; Nguyen DC; Pathirana PN; Smith D; Ding M; Rakotoarivelo T; Seneviratne A, 2025, Adaptive Clipping for Privacy-Preserving Few-Shot Learning: Enhancing Generalization with Limited Data, http://dx.doi.org/10.48550/arxiv.2503.22749

Ranaweera K; Nguyen DC; Pathirana PN; Smith D; Ding M; Rakotoarivelo T; Seneviratne A, 2025, Federated Learning with Differential Privacy: An Utility-Enhanced Approach, http://dx.doi.org/10.48550/arxiv.2503.21154

Ranaweera K; Smith D; Pathirana PN; Ding M; Rakotoarivelo T; Seneviratne A, 2025, Multi-Objective Optimization for Privacy-Utility Balance in Differentially Private Federated Learning, http://dx.doi.org/10.48550/arxiv.2503.21159

Ranaweera N; Xu J; Seneviratne S; Seneviratne A, 2025, BERTDetect: A Neural Topic Modelling Approach for Android Malware Detection, http://dx.doi.org/10.48550/arxiv.2503.18043

Niroshan A; Seneviratne S; Seneviratne A, 2025, An Empirical Study of Code Obfuscation Practices in the Google Play Store, http://dx.doi.org/10.48550/arxiv.2502.04636

Denipitiyage D; Silva B; Seneviratne S; Seneviratne A; Chawla S, 2025, Detecting Content Rating Violations in Android Applications: A Vision-Language Approach, http://dx.doi.org/10.48550/arxiv.2502.15739

Silva B; Denipitiyage D; Seneviratne S; Mahanti A; Seneviratne A, 2024, Entailment-Driven Privacy Policy Classification with LLMs, http://dx.doi.org/10.48550/arxiv.2409.16621

Tavallaie O; Thilakarathna K; Seneviratne S; Seneviratne A; Zomaya AY, 2024, SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks, http://dx.doi.org/10.48550/arxiv.2409.15067

Deng Y; Mishra D; Atakaramians S; Seneviratne A, 2024, Smart CSI Processing for Accruate Commodity WiFi-based Humidity Sensing, http://dx.doi.org/10.48550/arxiv.2409.07857

Goay ACY; Mishra D; Seneviratne A, 2024, Optimal Reflection Coefficients for ASK Modulated Backscattering from Passive Tags, http://dx.doi.org/10.48550/arxiv.2406.17448

Zhao R; Mishra D; Seneviratne A, 2024, Securing V2I Backscattering from Eavesdropper, http://dx.doi.org/10.48550/arxiv.2407.15496

Rahimpour H; Tusek J; Abuadbba A; Seneviratne A; Phung T; Musleh A; Liu B, 2023, Cybersecurity Challenges of Power Transformers, http://dx.doi.org/10.48550/arxiv.2302.13161

Gunawardena R; Yin Y; Huang Y; Masood R; Seneviratne S; Razzak I; Tran N; Seneviratne A, 2023, Usability of Privacy Controls in Top Health Websites, http://dx.doi.org/10.48550/arxiv.2303.01838

Nguyen DC; Nguyen V-D; Ding M; Chatzinotas S; Pathirana PN; Seneviratne A; Dobre O; Zomaya AY, 2022, Intelligent Blockchain-based Edge Computing via Deep Reinforcement Learning: Solutions and Challenges, http://dx.doi.org/10.48550/arxiv.2206.09009

Xue W; Ahmed N; Masood R; Hu W; Seneviratne A; Jha SK, 2022, FLAP: Federated Learning with Attack and Privacy Awareness, http://dx.doi.org/10.36227/techrxiv.19766023.v1

Nguyen DC; Pham Q-V; Pathirana PN; Ding M; Seneviratne A; Lin Z; Dobre OA; Hwang W-J, 2021, Federated Learning for Smart Healthcare: A Survey, http://dx.doi.org/10.48550/arxiv.2111.08834

Nguyen DC; Ding M; Pathirana PN; Seneviratne A; Zomaya AY, 2021, Federated Learning for COVID-19 Detection with Generative Adversarial Networks in Edge Cloud Computing, http://dx.doi.org/10.48550/arxiv.2110.07136

Nguyen DC; Pathirana PN; Ding M; Seneviratne A, 2021, BEdgeHealth: A Decentralized Architecture for Edge-based IoMT Networks Using Blockchain, http://dx.doi.org/10.48550/arxiv.2109.14295

Nguyen DC; Ding M; Pathirana PN; Seneviratne A; Li J; Poor HV, 2021, Cooperative Task Offloading and Block Mining in Blockchain-based Edge Computing with Multi-agent Deep Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.2109.14263

Nguyen DC; Pathirana PN; Ding M; Seneviratne A, 2021, Secure Computation Offloading in Blockchain based IoT Networks with Deep Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.1908.07466

Nguyen DC; Ding M; Pathirana PN; Seneviratne A; Li J; Niyato D; Dobre O; Poor HV, 2021, 6G Internet of Things: A Comprehensive Survey, http://dx.doi.org/10.48550/arxiv.2108.04973

Nguyen DC; Ding M; Pathirana PN; Seneviratne A, 2021, Blockchain and AI-based Solutions to Combat Coronavirus (COVID-19)-like Epidemics: A Survey, http://dx.doi.org/10.48550/arxiv.2106.14631

Nguyen DC; Ding M; Pathirana PN; Seneviratne A; Li J; Niyato D; Poor HV, 2021, Federated Learning for Industrial Internet of Things in Future Industries, http://dx.doi.org/10.48550/arxiv.2105.14659

Nguyen DC; Cheng P; Ding M; Lopez-Perez D; Pathirana PN; Li J; Seneviratne A; Li Y; Poor HV, 2021, Enabling AI in Future Wireless Networks: A Data Life Cycle Perspective, http://dx.doi.org/10.48550/arxiv.2003.00866

Nguyen DC; Ding M; Pathirana PN; Seneviratne A; Li J; Poor HV, 2021, Federated Learning for Internet of Things: A Comprehensive Survey, http://dx.doi.org/10.48550/arxiv.2104.07914

Nguyen DC; Ding M; Pham Q-V; Pathirana PN; Le LB; Seneviratne A; Li J; Niyato D; Poor HV, 2021, Federated Learning Meets Blockchain in Edge Computing: Opportunities and Challenges, http://dx.doi.org/10.48550/arxiv.2104.01776

Nguyen DC; Pathirana PN; Ding M; Seneviratne A, 2021, A Cooperative Architecture of Data Offloading and Sharing for Smart Healthcare with Blockchain, http://dx.doi.org/10.48550/arxiv.2103.10186

Nguyen DC; Pathirana PN; Ding M; Seneviratne A, 2020, Integration of Blockchain and Cloud of Things: Architecture, Applications and Challenges, http://dx.doi.org/10.48550/arxiv.1908.09058

Nguyen DC; Pathirana PN; Ding M; Seneviratne A, 2020, Privacy-Preserved Task Offloading in Mobile Blockchain with Deep Reinforcement Learning, http://dx.doi.org/10.48550/arxiv.1908.07467

de Guzman JA; Thilakarathna K; Seneviratne A, 2020, Security and Privacy Approaches in Mixed Reality: A Literature Survey, http://dx.doi.org/10.48550/arxiv.1802.05797

Abaid Z; Shaghaghi A; Gunawardena R; Seneviratne S; Seneviratne A; Jha S, 2020, Health Access Broker: Secure, Patient-Controlled Management of Personal Health Records in the Cloud, http://dx.doi.org/10.48550/arxiv.2005.07987

Michelin RA; Ahmed N; Kanhere SS; Seneviratne A; Jha S, 2020, Leveraging lightweight blockchain to establish data integrity for surveillance cameras, http://dx.doi.org/10.48550/arxiv.1912.11044

de Guzman JA; Thilakarathna K; Seneviratne A, 2020, Conservative Plane Releasing for Spatial Privacy Protection in Mixed Reality, http://dx.doi.org/10.48550/arxiv.2004.08029

Ahmed N; Michelin RA; Xue W; Ruj S; Malaney RA; Kanhere SS; Seneviratne A; Hu W; Janicke H; Jha SK, 2020, A Survey of COVID-19 Contact Tracing Apps., https://arxiv.org/abs/2006.10306

Hu Y; Seneviratne S; Thilakarathna K; Fukuda K; Seneviratne A, 2019, Characterizing and Detecting Money Laundering Activities on the Bitcoin Network, http://dx.doi.org/10.48550/arxiv.1912.12060

Nguyen DC; Pathirana PN; Ding M; Seneviratne A, 2019, Blockchain as a Service for Multi-Access Edge Computing: A Deep Reinforcement Learning Approach, http://dx.doi.org/10.48550/arxiv.2001.08165

Nguyen DC; Pathirana PN; Ding M; Seneviratne A, 2019, Blockchain for 5G and Beyond Networks: A State of the Art Survey, http://dx.doi.org/10.48550/arxiv.1912.05062

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