Damith C. Ranasinghe
Damith C. Ranasinghe
The University of Adelaide, University of Cambridge
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STRIP: A defence against trojan attacks on deep neural networks
Y Gao, C Xu, D Wang, S Chen, DC Ranasinghe, S Nepal
Annual Computer Security Applications Conference (ACSAC), 113-125, 2019
Adding sense to the Internet of Things: An architecture framework for Smart Object systems
TS López, DC Ranasinghe, M Harrison, D McFarlane
Personal and Ubiquitous Computing 16 (3), 291-308, 2012
Februus: Input purification defense against trojan attacks on deep neural network systems
BG Doan, E Abbasnejad, DC Ranasinghe
Annual Computer Security Applications Conference (ACSAC), 897-912, 2020
Taxonomy, technology and applications of smart objects
TS López, DC Ranasinghe, B Patkai, D McFarlane
Information Systems Frontiers 13, 281-300, 2011
Emerging physical unclonable functions with nanotechnology
Y Gao, DC Ranasinghe, SF Al-Sarawi, O Kavehei, D Abbott
IEEE Access 4, 61-80, 2016
Networked RFID Systems and Lightweight Cryptography: Raising Barriers to Product Counterfeiting
PH Cole, DC Ranasinghe
Networked RFID Systems and Lightweight Cryptography, Springer, 2008
Sensor enabled wearable RFID technology for mitigating the risk of falls near beds
RLS Torres, DC Ranasinghe, Q Shi, AP Sample
IEEE International Conference on RFID (IEEE RFID), 191-198, 2013
Why start a higher degree by research? An exploratory factor analysis of motivations to undertake doctoral studies
C Guerin, A Jayatilaka, D Ranasinghe
Higher Education Research & Development 34 (1), 89-104, 2015
RFID opportunity analysis for leaner manufacturing
A Brintrup, DC Ranasinghe, D McFarlane
International Journal of Production Research 48 (9), 2745-2764, 2010
Smart steel: new paradigms for the reuse of steel enabled by digital tracking and modelling
D Ness, J Swift, DC Ranasinghe, K Xing, V Soebarto, M Terziovski
Journal of Cleaner Production 98, 292-303, 2015
Low-Cost RFID Systems: Confronting Security and Privacy
DC Ranasinghe, DW Engels, PH Cole
White Paper Series/Edition 1 (Auto-ID Labs), 2005
An Empirical Assessment of Global COVID-19 Contact Tracing Applications
R Sun, W Wang, M Xue, G Tyson, S Camtepe, DC Ranasinghe
International Conference on Software Engineering (ICSE), 2021
Memristive crypto primitive for building highly secure physical unclonable functions
Y Gao, DC Ranasinghe, SF Al-Sarawi, O Kavehei, D Abbott
Scientific Reports 5 (1), 12785, 2015
Efficient dense labelling of human activity sequences from wearables using fully convolutional networks
R Yao, G Lin, Q Shi, DC Ranasinghe
Pattern Recognition 78, 252-266, 2018
A modular textile antenna design using snap-on buttons for wearable applications
SJ Chen, T Kaufmann, DC Ranasinghe, C Fumeaux
IEEE Transactions on Antennas and Propagation 64 (3), 894-903, 2016
Obfuscated challenge-response: A secure lightweight authentication mechanism for PUF-based pervasive devices
Y Gao, G Li, H Ma, SF Al-Sarawi, O Kavehei, D Abbott, DC Ranasinghe
IEEE International Conference on Pervasive Computing and Communication …, 2016
Security and privacy: Modest proposals for low-cost RFID systems
DC Ranasinghe, D Engels, P Cole
Auto-ID Labs Research Workshop, Zurich, Switzerland (Auto-ID Labs), 2004
PUF-FSM: A controlled strong PUF
Y Gao, H Ma, SF Al-Sarawi, D Abbott, DC Ranasinghe
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2017
Sequence learning with passive RFID sensors for real-time bed-egress recognition in older people
A Wickramasinghe, DC Ranasinghe, C Fumeaux, KD Hill, R Visvanathan
IEEE Journal of Biomedical and Health Informatics 21 (4), 917-929, 2016
Online UAV path planning for joint detection and tracking of multiple radio-tagged objects
H Van Nguyen, H Rezatofighi, BN Vo, DC Ranasinghe
IEEE Transactions on Signal Processing 67 (20), 5365-5379, 2019
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