Publications

2021

Kumar, M. Differentially Private Transferrable Deep Learning with Membership-Mappings, ArXiv E-Prints. (2021) earXiv:2105.04615.

Banton, M., Bowles, J., Silvina, A., Webber, T. (2021). Design of a Trustworthy and Resilient Data Sharing Platform for Healthcare Provision. EDCC 2021: Dependable Computing – EDCC 2021 Workshops pp 144-151. doi: 10.1007/978-3-030-86507-8_14

Banton, M., Bowles, J., Silvina, A., Webber, T. (2021). Conflict-Free Access Rules for Sharing Smart Patient Health Records. Rules and Reasoning. RuleML+RR 2021. Lecture Notes in Computer Science, vol 12851. Springer, Cham. doi: 10.1007/978-3-030-91167-6_

Belk, M., Fidas, C., Katsi, E., Constantinides, A., Pitsillides, A. (2021). An empirical study of picture password composition on smartwatches. IFIP TC13 Human-Computer Interaction (INTERACT 2021), Springer-Verlag doi:10.1007/978-3-030-85610-6_37

Constantinides, A., Fidas, C., Belk, M., Pitsillides, A. (2021). Understanding insider attacks in personalized picture password schemes. IFIP TC13 Human-Computer Interaction (INTERACT 2021), Springer-Verlag (to appear)

Fidas, C., Belk, M., Constantinides, C., Constantinides, A., Pitsillides, A. (2021). A field dependence-independence perspective on eye gaze behavior within affective activities. IFIP TC13 Human-Computer Interaction (INTERACT 2021), Springer-Verlag doi:10.1007/978-3-030-85623-6_6

Leonidou P., Constantinides A., Belk M., Fidas C., Pitsillides A. (2021). Eye gaze and interaction differences of holistic versus analytic users in image-recognition human interaction proof schemes. Human-Computer Interaction International (HCII 2021) – HCI for Cybersecurity, Privacy and Trust, LNCS, Springer-Verlag, 66-75, doi: 10.1007/978-3-030-77392-2_5

Banton, M., Bowles, J., Silvina, A., Webber, T. (2021). On the Benefits and Security Risks of a User-Centric Data Sharing Platform for Healthcare Provision. UMAP ’21 June 2021 Pages 351–356 doi: 10.1145/3450614.3464473

Constantinides, C., Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2021). A comparative study among different computer vision algorithms for assisting users in picture password composition. ACM User Modeling, Adaptation and Personalization (UMAP 2021 Adjunct), ACM Press, 357-362, doi: 10.1145/3450614.3464474

Fidas, C., Belk, M., Portugal, D., Pitsillides, A. (2021). Privacy-preserving biometric-driven data for student identity management: Challenges and approaches. ACM User Modeling, Adaptation and Personalization (UMAP 2021 Adjunct), ACM Press, 368-370, doi: 10.1145/3450614.3464470

Bowles, J., Webber, T., Blackledge, E., Vermeulen, A. F. (2021). A Blockchain-Based Healthcare Platform for Secure Personalised Data Sharing. 31st Medical Informatics Europe Conference (MIE 2021 EFMI).Volume 281. doi: 10.3233/SHTI210150

Constantinides, A., Fidas, C., Belk, M., Pietron, A., Han, T., Pitsillides, A. (2021). From hot-spots towards experience-spots: Leveraging on users’ sociocultural experiences to enhance security in cued-recall graphical authentication. International Journal of Human-Computer Studies, 149, Elsevier. doi: 10.1016/j.ijhcs.2021.102602

Kumar, M.,  Rossbory, M.,  Moser, B,A.,  Freudenthaler, B. (2021)“An optimal (∊,δ)-differentially private learning of distributed deep fuzzy models,” Information Sciences, Volume 546, 2021, Pages 87-120, https://doi.org/10.1016/j.ins.2020.07.044.

2020

Given-Wilson, T., Baranov, E., Legay, A. (2020). Building User Trust of Critical Digital Technologies (ICI2020) doi: 10.1109/ICIT45562.2020.9067154

Silvina, A., Bowles J., Hall P. (2020). Combining Patient Pathway Visualisation with Prediction Outcomes for Chemotherapy Treatments. 12th International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED 2020), 22-26 March 2020, Valencia, Spain. Think Mind.

Bowles, J.,  Mendoza-Santana, J., Vermeulen, A. F., Webber, T., Blackledge E. (2020). Integrating Healthcare Data for Enhanced Citizen-Centred Care and Analytics EFMI STC 2020. Integrated Citizen centered digital health and social care Citizens as – data producers and service co-creators, Virtual conference 26-27 November 2020,  doi: 10.3233/SHTI200686

Given-Wilson T., Legay A. (2020). Formalising Fault Injection and Countermeasures, (ARES 2020). Virtual Edition, 2020, doi: 10.1145/3407023.3407049

Bowles, J., Silvina, A., Bin, E., Vinov, M. (2020). On defining rules for cancer data fabrication. Rules and Reasoning: RuleML+RR 2020, LNCS, Springer, 2020. doi: 10.1007/978-3-030-57977-7_13

Kumar, M.,  Rossbory, M.,  Moser, B,A.,  Freudenthaler, B.(2020). Differentially Private Learning of Distributed Deep Models. Adaptive and Personalized Privacy and Security Workshop (APPS 2020), UMAP (Adjunct Publication). doi: 10.1145/3386392.3399562

Bowles, J., Mendoza-Santana, J., Webber, T. (2020).  Interacting with next-generation smart patient-centric healthcare systems. Adaptive and Personalized Privacy and Security Workshop (APPS 2020), UMAP (Adjunct Publication).doi: 10.1145/3386392.3399561

Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2020). Design and Development of a Patient-centric User Authentication System. Adaptive and Personalized Privacy and Security Workshop (APPS 2020), UMAP (Adjunct Publication).doi: 10.1145/3386392.3399564

Constantinides, A., Pietron, A., Belk, M., Fidas, C., Han, T., Pitsillides, A. (2020). A Cross-cultural Perspective for Personalizing Picture Passwords. ACM User Modeling, Adaptation and Personalization (UMAP 2020), ACM Press. doi: 10.1145/3340631.3394859

Webber T., Santana J.M., Vermeulen A.F., Bowles J.K.F. (2020). Designing a Patient-Centric System for Secure Exchanges of Medical Data. In: Gervasi O. et al. (eds) Computational Science and Its Applications – ICCSA 2020. ICCSA 2020. Lecture Notes in Computer Science, vol 12254. Springer, Cham, 598-614. doi: 10.1007%2F978-3-030-58817-5_44

Costi, A., Belk, M., Fidas, C., Constantinides, A., Pitsillides, A. (2020). CogniKit: An Extensible Tool for Human Cognitive Modeling based on Eye Gaze Analysis. ACM Intelligent User Interfaces (IUI Companion 2020), ACM Press, 130-131. doi: 10.1145/3379336.3381460

Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2020). An eye gaze-driven metric for estimating the strength of graphical passwords based on image hotspots. ACM Intelligent User Interfaces (IUI 2020), ACM Press. doi: 10.1145/3377325.3377537

2019 

Janjic, V., Bowles, J.K.F., Vermeulen, A. F., Silvina, A., Belk, M., Fidas, C., Pitsillides, A., Kumar, M., Rossborry, M., Vinov, M., Given-Wilson, T., Legay, A., Blackledge, E., Arredouani, R., Stylianou, G., Huang, W. (2019). The SERUMS tool-chain: ensuring security and privacy of medical data in smart patient-centric healthcare systems. (IEEE Big Data), Los Angeles, December 2019, IEEE Press. doi: 10.1109/BigData47090.2019.9005600

Fidas, C. (2019). Eye tracking based cognitive-centered user models. ACM Conference on Web Intelligence (WI 2019), ACM Press, 433-437. doi: 10.1145/3350546.3352563

Constantinides, A., Fidas, C., Belk, M., Pitsillides, A. (2019).“I Recall this Picture”: Understanding Picture Password Selections based on Users’ Sociocultural Experiences. ACM Web Intelligence (WI 2019), ACM Press, 408-412. doi: 10.1145/3350546.3352557

Fidas, C.,  Belk, M., .Hadjidemetriou,G.,  Pitsillides A. (2019). Influences of Mixed Reality and Human Cognition on Picture Passwords: An Eye Tracking Study Published by Springer Nature Switzerland AG 2019 D. Lamas et al. (Eds.): (INTERACT 2019), LNCS 11747, pp. 304–313, 2019. doi: 10.1007/978-3-030-29384-0_19

Silvina, A., Bowles, J., Hall, P. (2019). On Predicting the Outcomes of Chemotherapy Treatments in Breast Cancer. Springer Nature Switzerland AG 2019 D. Riaño et al. (Eds.): (AIME 2019), LNAI 11526, pp. 180–190, 2019. doi: 10.1007/978-3-030-21642-9_24

Diomedous, C., Athanasopoulos E. (2019). Practical Password Hardening Based on TLS.Springer Nature Switzerland AG 2019 R. Perdisci et al. (Eds.): (DIMVA 2019), LNCS 11543, pp. 441–460, 2019. doi: 10.1007/978-3-030-22038-9_21

Constantinides, A., Belk, M., Fidas, C., Pitsillides, A. (2019).On the accuracy of eye gaze-driven classifiers for predicting image content familiarity in graphical passwords. ACM User Modeling, Adaptation and Personalization (UMAP 2019), ACM Press, 201  205. doi: 10.1145/3320435.3320474

Janjic, V., Bowles, J.K.F., Belk, M., Pitsillides. A. (2019). Security And Privacy Of Medical Data: Challenges For Next-Generation Patient-Centric Healthcare Systems. (UMAP 2019) Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and Personalization June 2019 Pages 213–214. doi: 10.1145/3314183.3326364

Constantinides, A., Fidas, C., Belk, M., Pitsillides, A. (2019). On the Personalization of Image Content in Graphical Passwords based on Users’ Sociocultural Experiences: New Challenges and Opportunities. Adaptive and Personalized Privacy and Security Workshop (APPS 2019), UMAP (Adjunct Publication), 199-202. doi: 10.1145/3314183.3324966

Belk, M., Fidas,C., Pitsillides. A. (2019). Flexpass: Symbiosis of seamless user authentication schemes in Iot. In Extended Abstracts of the (CHI 2019). doi: 10.1145/3290607.3312951

Hadjidemetriou, G., Belk, M., Fidas, C., Pitsillides, A. (2019). Picture passwords in mixed reality: Implementation and evaluation (2019). ACM SIGCHI Human Factors in Computing Systems (CHI 2019), ACM Press. doi: 10.1145/3290607.3313076