Brainprint: Assessing the uniqueness, collectability, and permanence of a novel method for ERP biometrics BC Armstrong, MV Ruiz-Blondet, N Khalifian, KJ Kurtz, Z Jin, S Laszlo Neurocomputing 166, 59-67, 2015 | 196 | 2015 |
CEREBRE: A novel method for very high accuracy event-related potential biometric identification MV Ruiz-Blondet, Z Jin, S Laszlo IEEE Transactions on Information Forensics and Security 11 (7), 1618-1629, 2016 | 171 | 2016 |
A survey on brain biometrics Q Gui, MV Ruiz-Blondet, S Laszlo, Z Jin ACM Computing Surveys (CSUR) 51 (6), 1-38, 2019 | 127 | 2019 |
A direct comparison of active and passive amplification electrodes in the same amplifier system S Laszlo, M Ruiz-Blondet, N Khalifian, F Chu, Z Jin Journal of neuroscience methods 235, 298-307, 2014 | 87 | 2014 |
Assessment of permanence of non-volitional EEG brainwaves as a biometric MVR Blondet, S Laszlo, Z Jin IEEE International Conference on Identity, Security and Behavior Analysis …, 2015 | 43 | 2015 |
A wearable real-time BCI system based on mobile cloud computing MVR Blondet, A Badarinath, C Khanna, Z Jin 2013 6th International IEEE/EMBS Conference on Neural Engineering (NER), 739-742, 2013 | 40 | 2013 |
Permanence of the CEREBRE brain biometric protocol MV Ruiz-Blondet, Z Jin, S Laszlo Pattern Recognition Letters, 2017 | 34 | 2017 |
A residual feature-based replay attack detection approach for brainprint biometric systems Q Gui, W Yang, Z Jin, MV Ruiz-Blondet, S Laszlo 2016 IEEE International Workshop on Information Forensics and Security (WIFS …, 2016 | 29 | 2016 |
Towards EEG biometrics: Pattern matching approaches for user identification Q Gui, Z Jin, MVR Blondet, S Laszlo, W Xu IEEE International Conference on Identity, Security and Behavior Analysis …, 2015 | 27 | 2015 |
Multichannel EEG-based biometric using improved RBF neural networks Q Gui, Z Jin, W Xu, MV Ruiz-Blondet, S Laszlo 2015 IEEE signal processing in medicine and biology symposium (spmb), 1-6, 2015 | 21 | 2015 |
Brainprint: Identifying unique features of neural activity with machine learning M Ruiz-Blondet, N Khlaifian, B Armstrong, Z Jin, K Kurtz, S Laszlo Proceedings of the Annual Meeting of the Cognitive Science Society 36 (36), 2014 | 20 | 2014 |
Brainwaves as authentication method: Proving feasibility under two different approaches MVR Blondet, N Khalifian, KJ Kurtz, S Laszlo, Z Jin 2014 40th Annual Northeast Bioengineering Conference (NEBEC), 1-2, 2014 | 9 | 2014 |
EEG-based focus estimation using neurable’s enten headphones and analytics platform R Alcaide, N Agarwal, J Candassamy, S Cavanagh, M Lim, ... bioRxiv, 2021.06. 21.448991, 2021 | 8 | 2021 |
Towards eeg biometrics: similarity-based approaches for user identification Q Gui, Z Jin, MVR Blondet, S Laszlo, W Xu Proc. of the IEEE Int. Conf. on Identity, Security and Behavior Analysis, 1-6, 2015 | 8 | 2015 |
An unsupervised, EEG-based person identification approach using convolutional neural networks Q Gui, W Yang, MV Ruiz-Blondet, S Laszlo, Z Jin Proc. 42nd Annu. Northeast Bioeng. Conf.(NEBEC), 1-2, 2016 | 6 | 2016 |
Brainprint: Assessing biometric uniqueness of EEG with machine learning MV Ruiz-Blondet, N Khalifian, C Greenwald, K Kurtz, Z Jin Psychophysiology 51, S66-S66, 2014 | 1 | 2014 |
Behavioral and Neural Correlates of Visual and Auditory Hallucinations Elicited Through Classical Conditioning MVR Blondet State University of New York at Binghamton, 2020 | | 2020 |
BRAINHACK: EVALUATING THE FEASIBILITY OF STEADY-STATE IMPERSONATION ATTACKS ON BRAIN BIOMETRICS M Ruiz-Blondet, N Lista, S Laszlo PSYCHOPHYSIOLOGY 55, S37-S37, 2018 | | 2018 |
NETWORK ANALYSIS OF UNIQUENESS IN BRAIN BIOMETRIC DATA M Ruiz-Blondet, S Laszlo PSYCHOPHYSIOLOGY 54, S96-S96, 2017 | | 2017 |
DO WAVELETS PROVIDE AN ADVANTAGE OVER TIME DOMAIN CLASSIFICATION FOR ERP BIOMETRICS? M Ruiz-Blondet, E Anderson, S Laszlo PSYCHOPHYSIOLOGY 53, S87-S87, 2016 | | 2016 |