"Temporal Differential Privacy for Human Activity Recognition", Debaditya Roy, Sarunas Girdzijauskas, accepted, to be published in the proceedings of 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA' 2023), 2023.

"Private, Fair and Secure Collaborative Learning Framework for Human Activity Recognition", Debaditya Roy, Ahmed Lekssays, Sarunas Girdzijauskas, Elena Ferrari, Barbara Carminati, accepted at 1st workshop of Fairness and Robustness in machine learning for Ubiquitous Computing, to be published in UbiComp/ISWC 2023 Adjunct Proceedings, 2023.

"MalCon: A blockchain-based malware containment framework for Internet of Things", Ahmed Lekssays, Barbara Carminati, Elena Ferrari, Computer Networks, 2023.

"Metasoma: Decentralized and Collaborative Early-Stage Detection of IoT Botnets", Lodovico Giaretta, Ahmed Lekssays, Barbara Carminati, Elena Ferrari, Sarunas Girdzijauskas, Preprint, 2023.

"Towards a Realistic Decentralized Naive Bayes with Differential Privacy", Lodovico Giaretta, Thomas Marchioro, Evangelos Markatos, Sarunas Girdzijauskas, Preprint, 2023.

"Practical Crowdsourcing of Wearable IoT Data with Local Differential Privacy", Thomas Marchioro, Andrei Kazlouski, Evangelos Markatos, 8th ACM/IEEE Conference on Internet of Things Design and Implementation (IoTDI 2023), San Antonio, Texas, 2023.

"Graph2Feat: Inductive Link Prediction via Knowledge Distillation", Ahmed E. Samy, Zekarias T. Kefato, Šarūnas Girdzijauskas, WWW '23 Companion, Austin TX USA, 2023.

"14 Years of Self-Tracking Technology for mHealth - Literature Review: Lessons Learnt and the PAST SELF Framework", Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, ACM Transactions on Computing for Healthcare, 2023.

"Early-stage Ransomware Detection based on Pre-Attack Internal API Calls", Filippo Coglio and Ahmed Lekssays and Barbara Carminati and Elena Ferrari, Proceedings of the 37th International Conference on Advanced Information Networking and Applications (AINA-2023), 2023.

"Privacy-preserving Decentralized Learning of Knowledge Graph Embeddings", Anh-Tu Hoang, Ahmed Lekssays, Barbara Carminati, Elena Ferrari, 1st International Workshop on Data Analytics for Personal & Ubiquitous Computing (DATUM '23), Ioannina, Greece, 2023.

"Minimal wearable setup via sensor correlation: a case study of field hockey players", Giorgos Ioannou, Andrei Kazlouski, Thomas Marchioro, Maarten Gijssel, 1st International Workshop on Data Analytics for Personal & Ubiquitous Computing (DATUM '23), Ioannina, Greece, 2023.

"Uncovering Bias in Personal Informatics", Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, Preprint, 2023.

"Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing", Sofia Yfantidou, Marios Constantinides, Dimitris Spathis, Athena Vakali, Daniele Quercia, Fahim Kawsar, Preprint, 2023.

"Fully-Decentralized Training of GNNs using Layer-wise Self-Supervision", Lodovico Giaretta, Sarunas Girdzijauskas, Preprint, 2023.

"UnStressMe: Explainable Stress Analytics and Self-tracking Data Visualizations", Eva Paraschou, Sofia Yfantidou, Athena Vakali, 21st International Conference on Pervasive Computing and Communications (PerCom 2023), Atlanta, USA, 2023.

"Towards a decentralized infrastructure for data marketplaces: narrowing the gap between academia and industry", Lodovico Giaretta, Thomas Marchioro, Evangelos Markatos, Šarūnas Girdzijauskas, 1st International Workshop on Data Economy (DE '22), Rome, Italy, 2022.

"PriApp-Install: Learning User Privacy Preferences on Mobile Apps' Installation", Ha Xuan Son, Barbara Carminati, Elena Ferrari, Information Security Practice and Experience - ISPEC 2022, 2022.

"I just wanted to track my steps! Blocking unwanted traffic of Fitbit devices", Andrei Kazlouski, Thomas Marchioro, Evangelos Markatos, 12th International Conference on the Internet of Things (IoT '22), Delft, the Netherlands, 2022.

"LifeSnaps, a 4-month multi-modal dataset capturing unobtrusive snapshots of our lives in the wild", Sofia Yfantidou, Christina Karagianni, Stefanos Efstathiou, Athena Vakali, Joao Palotti, Dimitrios Panteleimon Giakatos, Thomas Marchioro, Andrei Kazlouski, Elena Ferrari and Šarūnas Girdzijauskas, Scientific Data 9, 663, 2022.

"UBIWEAR: An end-to-end, data-driven framework for intelligent physical activity prediction to empower mHealth interventions", Asterios Bampakis, Sofia Yfantidou and Athena Vakali, 2022 IEEE International Conference on E-health Networking, Application & Services (HealthCom), 2022.

"Efficient ABAC based information sharing within MQTT environments under emergencies", Pietro Colombo, Elena Ferrari, Engin Deniz Tumer, Computers & Security, September 2022: Volume 120., 2022.

"MalRec: A Blockchain-based Malware Recovery Framework for Internet of Things", Ahmed Lekssays, Giorgia Sirigu, Barbara Carminati, Elena Ferrari, 17th International Conference on Availability, Reliability and Security, 2022.

"12 Years of Self-tracking for Promoting Physical Activity from a User Diversity Perspective: Taking Stock & Thinking Ahead", Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization, 2022.

"BenchPilot: Repeatable & Reproducible Benchmarking for Edge Micro-DCs", Joanna Georgiou, Moysis Symeonides, Michalis Kasioulis, Demetris Trihinas, George Pallis, Marios D. Dikaiakos, Proceedings of the 27th IEEE Symposium on Computers and Communications" (ISCC '22), 2022.

"Demo: The RAINBOW Analytics Stack for the Fog Continuum", Moysis Symeonides, Demetris Trihinas, Joanna Georgiou, Michalis Kasioulis, George Pallis, Marios D. Dikaiakos, Theodoros Toliopoulos, Anna-Valentini Michailidou, Anastasios Gounaris, Proceedings of the 27th IEEE Symposium on Computers and Communications" (ISCC '22), 2022.

"Federated Naive Bayes under Differential Privacy", Thomas Marchioro, Lodovico Giaretta, Evangelos Markatos, Šarūnas Girdzijauskas, 19th International Conference on Security and Cryptography (SECRYPT), Lisbon, Portugal, 2022.

"What your Fitbit says about you: De-anonymizing users in lifelogging datasets", Andrei Kazlouski, Thomas Marchioro, Evangelos Markatos, 19th International Conference on Security and Cryptography (SECRYPT), Lisbon, Portugal, 2022.

"A Risk Estimation Mechanism for Android Apps based on Hybrid Analysis", Ha Xuan Son, Barbara Carminati, Elena Ferrari, Data Science and Engineering, 2022.

"Not Only Degree Matters: Diffusion-Driven Role Recognition, In Open Challenges in Online Social Networks", Susanna Pozzoli, Šarunas Girdzijauskas, Open Challenges in Online Social Networks, OASIS 2022, 2022.

"Out of distribution in Human Activity Recognition", Debaditya Roy, Vangjush Komini, Sarunas Girdzijauskas, 2022 Swedish Artificial Intelligence Society Workshop (SAIS), Stockholm, Sweden, 2022.

"Mixing temporal experts for Human Activity Recognition", Debaditya Roy, Sarunas Girdzijauskas, 2022 Swedish Artificial Intelligence Society Workshop (SAIS), Stockholm, Sweden, 2022.

"How to Publish Wearables’ Data: Practical Guidelines to Protect User Privacy", Thomas Marchioro, Andrei Kazlouski, Evangelos Markatos, Studies in Health Technology and Informatics, 294, 949-950, 2022.

"SchemaWalk: Schema Aware Random Walks for Heterogeneous Graph Embedding", Ahmed E. Samy, Lodovico Giaretta, Zekarias T. Kefato, Šarūnas Girdzijauskas, WWW '22: Companion Proceedings of the Web Conference 2022, 2022.

"WeMoD: A Machine Learning Approach for Wearable and Mobile Physical Activity Prediction", Dimitrios Vasdekis, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali, 3rd Workshop on Human-Centered Computational Sensing (HCCS’22), Pisa, Italy, 2022.

"WearMerge: An Interoperable Framework for Self-tracking Data Integration and Standardization", Dimitrios Panteleimon Giakatos, Sofia Yfantidou, Stefanos Efstathiou, Athena Vakali, PerCom Demos 2022, Pisa, Italy, 2022.

"PAutoBotCatcher: A blockchain-based privacy-preserving botnet detector for Internet of Things", Ahmed Lekssays, Luca Landa, Barbara Carminati, Elena Ferrari, Computer Networks 200 (2021): 108512, 2021.

@article{LEKSSAYS2021108512,
title = {PAutoBotCatcher: A blockchain-based privacy-preserving botnet detector for Internet of Things},
journal = {Computer Networks},
volume = {200},
pages = {108512},
year = {2021},
issn = {1389-1286},
doi = {https://doi.org/10.1016/j.comnet.2021.108512},
url = {https://www.sciencedirect.com/science/article/pii/S138912862100445X},
author = {Ahmed Lekssays and Luca Landa and Barbara Carminati and Elena Ferrari},
keywords = {Botnet detection, Blockchain, Privacy, Internet of Things, Security},
abstract = {Botnets have become a major threat in the Internet of Things (IoT) landscape, due to the damages that these sets of compromised IoT devices may cause. To increase their attacks’ success, modern botnets are designed in a distributed manner, following a P2P structure. Recently, several botnet detection solutions have been proposed. Among them, community behavior analysis solutions seem to be promising because of their high detection accuracy. However, such solutions are not optimized for real life scenarios since they only run in a static mode, that is, reading all network traffic at once. As such, they do not support real-time data analysis. In order to handle such issue, these solutions should run in a dynamic distributed environment where different actors participate in the detection process. However, this collaborative environment brings up the issue of trust among the actors. To address this issue, in this paper, we present PAutoBotCatcher, a dynamic botnet detection framework based on community behavior analysis among peers managed by different actors. PAutoBotCatcher leverages on blockchain to ensure immutability and transparency among all actors. To optimize continuous detection while keeping good accuracy, we design a set of optimization techniques, such as caching detection’s output and pre-processing the shared network traffic. In addition, we leverage on different privacy-preserving techniques to protect devices from re-identification during the botnet detection process. We have extensively tested our solution to show its effectiveness and to demonstrate that blockchain is a good solution for dynamic botnet detection.}
}

[BibTex]

"LiMNet: Early-Stage Detection of IoT Botnets with Lightweight Memory Networks", Lodovico Giaretta, Ahmed Lekssays, Barbara Carminati, Elena Ferrari, Šarūnas Girdzijauskas, European Symposium on Research in Computer Security, ESORICS 2021, pp. 605-625. Springer, 2021.

"Confidence-Calibrated Human Activity Recognition", Debaditya Roy, Sarunas Girdzijauskas, Serghei Socolovschi, Sensors 2021, 2021.

"Blockchain-based Privacy Enforcement in the IoT domain", Federico Daidone, Barbara Carminati, Elena Ferrari, IEEE Transactions on Dependable and Secure Computing, 2021.

"A Risk Assessment Mechanism for Android Apps", Ha Xuan Son, Barbara Carminati, Elena Ferrari, IEEE International Conference on Smart Internet of Things (SmartIoT), Jeju Island, South Korea, 2021.

"User Identification from Time Series of Fitness Data", Thomas Marchioro, Andrei Kazlouski, Evangelos Markatos, 18th International Conference on Security and Cryptography (SECRYPT 2021), Online, 2021.

"Decentralized Word2Vec Using Gossip Learning", Alkathiri, Abdul Aziz, Giaretta, Lodovico, Girdzijauskas, Sarunas, & Sahlgren, Magnus, 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), Reykjavik, Iceland, 2021.

@proceedings{alkathiri_abdul_aziz_2021_4679361,
  title        = {Decentralized Word2Vec Using Gossip Learning},
  year         = 2021,
  publisher    = {Zenodo},
  month        = jun,
  doi          = {10.5281/zenodo.4679361},
  url          = {https://doi.org/10.5281/zenodo.4679361}
}

[BibTex]

"Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework", Sofia Yfantidou, Pavlos Sermpezis, Athena Vakali, Preprint, 2021.

@misc{yfantidou2021selftracking,
      title={Self-Tracking Technology for mHealth: A Systematic Review and the PAST SELF Framework}, 
      author={Sofia Yfantidou and Pavlos Sermpezis and Athena Vakali},
      year={2021},
      eprint={2104.11483},
      archivePrefix={arXiv},
      primaryClass={cs.HC}
}

[BibTex]

"PDS2: A user-centered decentralized marketplace for privacy preserving data processing", Giaretta, L., Savvidis, I., Marchioro, T., Girdzijauskas, S., Pallis, G., Dikaiakos, M., & Markatos, E., Third International Workshop on Blockchain and Data Management (BlockDM 2021), in conjunction with the 37th IEEE International Conference on Data Engineering (ICDE), Chania, Crete, Greece, 2021.

@inproceedings{giaretta2021pds2,
  title={PDS2: A user-centered decentralized marketplace for privacy preserving data processing},
  author={Giaretta, Lodovico and Savvidis, Ioannis and Marchioro, Thomas and Girdzijauskas, Sarunas and Pallis, George and Dikaiakos, Marios and Markatos, Evangelos},
  booktitle={Third International Workshop on Blockchain and Data Management},
  year={2021}
}

[BibTex]

"Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning", Daniel Garcia Bernal, Lodovico Giaretta, Sarunas Girdzijauskas, Magnus Sahlgren, Preprint, 2021.

@misc{bernal2021federated,
      title={Federated Word2Vec: Leveraging Federated Learning to Encourage Collaborative Representation Learning}, 
      author={Daniel Garcia Bernal and Lodovico Giaretta and Sarunas Girdzijauskas and Magnus Sahlgren},
      year={2021},
      eprint={2105.00831},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}

[BibTex]

"Do partner apps offer the same level of privacy protection? The case of wearable applications.", Andrei Kazlouski, Thomas Marchioro, Harry Manifavas, Evangelos Markatos, In Proceedings of the 7th Workshop on Sensing Systems and Applications using Wrist Worn Smart Devices (WristSense), 2021.

"Regulating data sharing across MQTT environments", Pietro Colombo, ElenaFerrari, Engin Deniz Tümer, Journal of Network and Computer Applications, 2021.

"I still See You! Inferring Fitness Data from Encrypted Traffic of Wearables", Kazlouski A., Marchioro T., Manifavas H., and Markatos E., 14th International Joint Conference on Biomedical Engineering Systems and Technologies HEALTHINF, Vienna, Austria, February, 2021.

"Evaluating the effects of access control policies within NoSQL systems", Pietro Colombo and Elena Ferrari, Future Generation Computer Systems, 2021.

"Do you know who is talking to your wearable smartband?", Kazlouski A., Marchioro T., Manifavas H., and Markatos E., European Federation for Medical Informatics - Special Topic Conferences (EFMI-STC), 2020.

"Domain Expertise–Agnostic Feature Selection for the Analysis of Breast Cancer Data", Susanna Pozzoli, Amira Soliman, Leila Bahri, Rui Mamede Branca, Sarunas Girdzijauskas, Marco Brambilla, Artificial Intelligence in Medicine 108 (2020): 101928., 2020.

"Mammoth: Monitoring the ABAC Monitor of MQTT-based Internet of Things ecosystems", Pietro Colombo, Elena Ferrari, and Samuele Salvia, Proceedings of the 25th ACM Symposium on Access Control Models and Technologies, New York, NY, USA, 2020.

"Gossip Learning: Off the Beaten Path", Lodovico Giaretta and Sarunas Girdzijauskas, IEEE Big Data 2019, Los Angeles, CA, USA, 2019.

[ Video ]

"Adapting Users’ Privacy Preferences in Smart Environments", Md. Zulfikar Alom, Barbara Carminati, Elena Ferrari, 2019 IEEE International Congress on Internet of Things (ICIOT), 2019.

"Confidential Discovery of IoT Devices through Blockchain", Christian Rondanini, Barbara Carminati, Elena Ferrari, 2019 IEEE International Congress on Internet of Things (ICIOT), 2019.

"Helping Users Managing Context-Based Privacy Preferences", Md. Zulfikar Alom, Barbara Carminati, Elena Ferrari, 2019 IEEE International Conference on Services Computing (SCC), 2019.