Publications

Last updated September 2024.

Selected Journal Papers

• R. Nimmagadda, K. Arora, M. Vargas Martin. Emotion recognition models for companion robots. The Journal of Supercomputing, 1–18. 2022
• R. Alomari, M. Vargas Martin, S. MacDonald, A. Maraj, R. Liscano, C. Bellman. Inside out - A study of users’ perceptions of password memorability and recall. Journal of Information Security and Applications, Vol. 47: 223-234, August 2019.
• Z. Joudaki, J. Thorpe, M. Vargas Martin. Enhanced Tacit Secrets: System-assigned passwords you can’t write down, but don’t need to. International Journal of Information Security. 18(2):239–255, April 2019.
• A. Ibrahim, S. Rahnamayan, M. Vargas Martin, K. Deb. 3D-RadVis Antenna: Visualization and performance measure for many-objective optimization. Journal of Swarm and Evolutionary Computation. 39:157-176, April 2018.
• C. Bellman, M. Vargas Martin, S. MacDonald, R. Liscano, R. Alomari. Have we met before? Using consumer-grade brain-computer interfaces to detect unaware facial recognition. ACM Computers in Entertainment. 16(2), Article 7, April 2018.

Book

• M.V. Martin, Libertad y Reforma: Novela Basada en Hechos de la Invasión Francesa y la Revolución Mexicana (in Spanish). Independently Published. May 2020. Available in Amazon

Selected Conference Papers

• M. Mithila, F. Yu, M. Vargas Martin, S. Wang. Visualizing differential privacy: Assessing infographics' impact on layperson data-sharing decisions and comprehension. In Conference on Privacy, Security, and Trust (PST). August 2024.
• F. Yu, M. Vargas Martin. Honey, I chunked the passwords: Generating semantic honeywords resistant to targeted attacks using pre-trained language models. Conference on detection of intrusions and malware & vulnerability assessment (DIMVA). July 2023.
• F. Yu, M. Vargas Martin. HoneyGAN: Creating indistinguishable honeywords with improved generative adversarial networks. In European symposium on research in computer security (ESORICS) workshop. September 2022.
• F. Yu, M. Vargas Martin. GNPassGAN: Improved generative adversarial networks for trawling offline password guessing. IEEE European symposium on security and privacy workshops (EuroS&PW), June 2022.
• R. Dubey, M. Vargas Martin. Fool me once: A study of password selection evolution over the past decade. International conference on privacy, security and trust (PST). December 2021.
• N. Jagadeesh, M. Vargas Martin. Alice in Passphraseland: Assessing the memorability of familiar vocabularies for system-assigned passphrases. arXiv. December 2021.
• A. Maraj, M. Vargas Martin, M. Makrehchi. A more effective sentence-wise text segmentation approach using BERT. In J. Lladós, D. Lopresti, & S. Uchida (Eds.), Document analysis and recognition (ICDAR) 2021
• G. Wang, M. Vargas Martin. SegmentPerturb: Effective black-box hidden voice attack on commercial ASR systems via selective deletion. International conference on privacy, security and trust (PST). August 2021.
• R. Alomari, M. Vargas Martin, S. MacDonald, C. Bellman. Using EEG to predict and analyze password memorability. IEEE international conference on cognitive computing (ICCC), 2019.
• M. Vargas Martin, E. Pérez, and S. Horsburgh. Artificial empathy for clinical companion robots with privacy-by-design. MobiHealth 2020.
• A. Maraj, M. Vargas Martin, M. Shane, M. Mannan. On the null relationship between personality types and passwords. Privacy, Security and Trust, Fredericton, Canada, August 2019.
• R. Alomari, M. Vargas Martin, C. Bellman. Using EEG to Predict and Analyze Password Memorability. In Proceedings of IEEE International Conference on Cognitive Computing, Milan, Italy, July 2019.
• G. Wang, M. Vargas Martin, P. Hung, S. MacDonald. Towards Classifying Motor Imagery Using a Consumer-Grade Brain-Computer Interface. In Proceedings of IEEE International Conference on Cognitive Computing, Milan, Italy, July 2019.
• R. Alomari, M. Vargas Martin. Classification of EEG Signals Using Neural Networks to Predict Password Memorability. In Proceedings of IEEE International Conference on Machine Learning and Applications, Orlando, USA, December 2018.
• A. Ibrahim, S. Rahnamayan, M. Vargas Martin, and K. Deb. Enhanced Correlation Matrix Based Visualization for Multi- and Many-objective Optimization. In Proceedings of IEEE Symposium Series on Computational Intelligence, Bengaluru, India, November 2018.
• Z. Joudaki, J. Thorpe, and M. Vargas Martin. Reinforcing System-Assigned Passphrases Through Implicit Learning. In Proceedings of 2018 ACM SIGSAC Conference on Computer & Communications Security (CCS ’18). ACM, Toronto, Canada, October 2018.
• D. Zhao, S. MacDonald, T. Gaudi, A. Uribe Quevedo, M. Vargas Martin, B. Kapralos. Facial Expression Detection Employing a Brain Computer Interface. In Proceedings of International Conference on Information, Intelligence, Systems and Applications. Zakynthos, Greece, July 2018.
• C. Bellman, M. Vargas Martin, S. MacDonald. On the Potential of Data Extraction by Detecting Unaware Facial Recognition with Brain-Computer Interfaces. Proceedings of IEEE International Conference on Cognitive Computing, San Francisco, USA, July, 2018.