Publications

Google Scholar, DBLP

  1. BC-FL k-means: A Blockchain-based Framework for Federated Clustering; Alishahi, M., Leeuw, W., Zannone, N, The 22’th IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom),  Exeter, UK, November 2023.
  2. Pixels Who Violate Our Privacy! Deep Learning for Identifying Images’ Key Pixels; Veenker, C., Opdam, D.,  Alishahi, M., International Workshop on Private, Secure, and Trustworthy AI  (PriST-AI ESORICS workshop),, The Hague, The Netherlands, September 2023.
  3. Feature Selection on Anonymized Datasets; Alishahi, M., Moghtadaiee, V., The 21’th IEEE International Conference on Dependable, Autonomic & Secure Computing, Abu Dhabi, UAE, November 2023.
  4. Indoor Geo-Indistinguishability: Adopting Differential Privacy for Indoor Location Data Protection;  Fathalizadeh, A., Moghtadaiee, V., Alishahi, M.IEEE Transactions on Emerging Topics in Computing, 2023.
  5. Book Chapter: Collaborative private classifiers construction; Alishahi, M., Moghtadaiee, V.,  Book title: Collaborative Approaches for Cyber Security in Cyber Physical Systems, 15-45, Springer, 2023.
  6.  Add noise to remove noise: Local differential privacy for feature selection; Alishahi, M., Navidan, H., Moghtadaiee, V., Journal of Computers & Security, Volume 123, 2022.
  7. Local Differential Privacy for Private Construction of Classification Algorithms; Alishahi, M., Gast, D., Vermeiren, S., The Nordic Conference on IT Secure Systems (NordSec), Iceland, December 2022.
  8. On the Privacy Protection of Indoor Location Dataset using Anonymization; Fathalizadeh, A., Moghtadaiee, V., Alishahi, M. , Journal of Computers & Security, Volume 117, June 2022.
  9. Hide me Behind the Noise: Local Differential Privacy for Indoor Location Privacy; Navidan, H., Moghtadaiee, V., Nazaran, N., Alishahi, M.,  Location Privacy Workshop of International EURO S&P Conference, June 2022.
  10. Privacy-Preserving Policy Evaluation in Multi-Party Access Control; Alishahi, M., Stork, I., Zannone, N.,  International Journal of Computer Security, 2021.
  11. Not a Free Lunch, But a Cheap One: On Classifiers’ Performance on Anonymized Datasets; Alishahi, M., Zannone, N.,  The 35th Annual IFIP WG Conference on Data and Applications Security and Privacy (DBSec), 2021.
  12. Comparing Classifier’s Performance under Differential Privacy; Lopuha¨a – Zwakenberg, M., Alishahi, M., Kivits, J., Klarenbeek, J., van der Velde, G., Zannone, N., The 18th International Conference on Security and Cryptography (SECRYPT), July 2021.
  13. Practical Multi-party Private Set Intersection Protocols; Vos, J., Bay, A., Alishahi, M., Erkin, Z.,  The 18th International Conference on Security and Cryptography (SECRYPT), July 2021.
  14. Privacy Preserving Data Sharing and Analysis for Edge-based Architectures; Sheikhalishahi, M., Saracino, A., Martinelli, F., La Marre, A., International Journal of Information Security, March 2021.
  15. On the Comparison of Classifiers’ Construction over Private Inputs; Sheikhalishahi, M., Zannone, N., The 19th IEEE International Conference on Trust,
    Security and Privacy in Computing and Communications (TrustCom), 2020.
  16. Privacy Preserving Statistical Detection of Adversarial Instances; Sheikhalishahi, M., Zannone, N.,  The 29th IEEE International Conference of Enabling Technologies: Infrastructure for Collaborative Enterprices, December 2020.
  17. D-BRIDEMAID: A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware;  La Marra, A., Martinelli, F., Mercaldo, F., Saracino, A., Sheikhalishahi, M.,  Journal of Wireless Mobile Networks, Ubiquitous Computing, and Dependable Applications (JoWUA), 2020.
  18. Digital Waste Disposal: An Automated Framework for Analysis of Spam Emails; Sheikhalishahi, M., Saracino, A., Martinelli, F., La Marra, A., Mejri, M., Tawbi, N.,  The International Journal of Information Security, September 2020.
  19. Privacy-Preserving Multi-Party Access Control; Sheikhalishahi, M., Tillem, G., Erkin, Z., Zannone, N.,  The 18th ACM Workshop on Privacy in the Electronic
    Society, WPES@CCS, London, UK, November 11, 2019.
  20. On the Statistical Detection of Adversarial Instances over Encrypted Data; Sheikhalishahi, M., Nateghizad, M., Erkin, Z., Martinelli, F., Loog, M., The 15th
    International Workshop on Security and Trust Management, STM 2019, Luxemburg, 26-27 September, 2019.
  21. Privacy Preserving Collaborative  Agglomerative Hierarchical Clustering Construction; In: Mori P., Furnell S., Camp O. (eds) Journal of Information Systems Security and Privacy. ICISSP 2018. Communications in Computer and Information Science, vol 977. Springer, Cham, 2019.
  22. Distributed Data Anonymization; Sheikhalishahi, M., Martinelli, F., The 17th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC), Fukuoka, Japan, 4-8 August, 2019.
  23. Privacy Preserving LDA Classification over Horizontally Distributed Data; Khodaparast, F., Sheikhalishahi, M., Martinelli, F., Haghighi, H., The 13th International Symposium on Intelligent Distributed Computing (IDC), Saint-Petersburg, Russia, 7-9 October, 2019.
  24. Privacy Preserving Random Decision Tree Classification over Horizontally and Vertically Partitioned Data; Khodaparast, F., Sheikhalishahi, M., Haghighi, H., Martinelli, F., The 16th IEEE International Conference on Dependable, Autonomic and Secure Computing (IEEE DASC), Athens, Greece, 12-15 August, 2018.
  25. Walking Through the Deep: Gait Analysis for User Authentication Through Deep Learning; Giorgi, G., Martinelli, F., Saracino, A., Sheikhalishahi, M., The 33rd IFIP TC International Conference (SEC), Poznan, Poland, 18-20 September, 2018.
  26. A Secure Distributed Framework for Agglomerative Hierarchical Clustering Construction; Hamidi, M., Sheikhalishahi, M., Martinelli, F.,  The 26th Euromicro International Conference on Parallel, Distributed, and Network-Based Processing (PDP), Cambridge, UK, 21-23 Mar., 2018.
  27. Privacy Preserving Expectation Maximization (EM) Clustering Construction; Hamidi, M., Sheikhalishahi, M., Martinelli, F., The 15th International Conference on Distributed Computing and Artificial Intelligence (DCAI), Toledo, Spain, 20-22 June, 2018.
  28. Secure Two-Party Agglomerative Hierarchical Clustering Construction; Hamidi, M., Sheikhalishahi, M., Martinelli, F.,  The 4th International Conference on Information Systems Security and Privacy (ICISSP), Funchal, Portugal, 22-24 January, 2018.
  29. Privacy Preserving Hierarchical Clustering over Multi-Party Data Distribution; Sheikhalishahi, M., Martinelli, F.,  The 10th International Conference on Security, Privacy and Anonymity in Computation, Communication and Storage (SPaCCS), Guangzhuo, China, 12-17 Dec., 2017.
  30. Privacy Preserving Clustering over Horizontal and Vertical Partitioned Data; Sheikhalishahi, M., Martinelli, F., The 22nd IEEE Symposium on Computers and Communications (ISCC), Heraklion, Crete, Greece, 3-6 July, 2017.
  31. Try Walking in My Shoes, if you can: Accurate GAIT Recognition through Deep Learning; Giorgi, G., Martinelli, F., Saracino, A., Sheikhalishahi, M., The 3rd International Workshop on Technical and Legal aspects of data pRIvacy and Security (TLERISE), Trento, Italy, 12-15 September, 2017.
  32. Privacy-Preserving Text Mining as a Service; Costantino, G., La Marra, A., Martinelli, F., Saracino, A., Sheikhalishahi, M., The 22nd IEEE Symposium on Computers and Communications (ISCC), Heraklion, Crete, Greece, 3-6 July, 2017.
  33. Privacy-Utility Feature Selection as a Privacy Mechanism in Collaborative Data Classification; Sheikhalishahi, M., Martinelli, F. (2017), The 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE), Poznan, Poland, 21-23 June, 2017.
  34. Privacy-Utility Feature Selection as a tool in Private Data Classification, Distributed Computing and Artificial Intelligence; Sheikhalishahi, M., Martinelli, F., The 14th International Conference, DCAI, Porto, Portugal, 21-23 June, 2017.
  35. A Distributed Framework for Collaborative and Dynamic Analysis of Android Malware; Faiella, M., La Marra, A., Martinelli, F., Mercaldo, F., Saracino, A., Sheikhalishahi, M., The 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing, PDP, St. Petersburg, Russia, 2017.
  36. Collaborative Attribute Retrieval in Environment with Faulty Attribute Managers; Faiella, M., Martinelli, F., Mori, P., Saracino, A., Sheikhalishahi, M., The 11th International Conference on Availability, Reliability and Security, ARES, Salzburg, Austria, August 31 – September 2, 2016.
  37. MalProfiler: Automatic and Effective Classification of Android Malicious Apps in Behavioral Classes; La Marra, A., Martinelli, F., Saracino, A., Sheikhalishahi, M., The 9th International Symposium on Foundations and Practice of Security (FPS), Quebec City, QC, Canada, 24-25 October, 2016.
  38. Privacy-Aware Data Sharing in a Tree-Based Categorical Clustering Algorithm; Sheikhalishahi, M., Mejri, M., Tawbi, N. Martinelli, F., The 9th International Symposium on Foundations and Practice of Security, FPS 2016, Quebec City, QC, Canada, 24-25 October, 2016.
  39. On the Abstraction of a Categorical Clustering Algorithm, Machine Learning and Data Mining in Pattern Recognition; Sheikhalishahi, M., Mejri, M., Tawbi, N., The 12th International Conference  (MLDM), New York, USA, July, 2016.
  40. Modeling Privacy Aware Information Sharing Systems: A Formal and General Approach; Martinelli, F., Saracino, A., Sheikhalishahi, M., The 15th IEEE
    International Conference on Trust, Security, and Privacy in Computing and Communications (TrustCom), Tianjin, China, 23-26 August 2016.
  41. Clustering spam emails into campaigns; Sheikhalishahi, M., Mejri, M., and Tawbi, N., The 1st International Conference on Information Systems Security and Privacy, ESEO, Angers, Loire Valley, France, 9-11 February, 2015.
  42. Fast and effective clustering of spam emails based on structural similarity; Sheikhalishahi, M., Saracino, A., Mejri, M., Tawbi, N.,  Martinelli, F.,  The 8th International Symposium on Foundations and Practice of Security, FPS 2015, Clermont-Ferrand, France, 26-28 October, 2015.
  43. Digitalwaste sorting: A goal-based, self-learning approach to label spam email campaigns; Sheikhalishahi, M., Saracino, A., Mejri, M., Tawbi, N., and Martinelli, F., The 11th International Workshop on Security and Trust Management (STM), Vienna, Austria, 21-22 September, 2015.