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Brain computing interfaces (BCI) are used in a plethora of safety/privacy-critical applications, ranging from healthcare to smart communication and control.
Practical domain and type enforcement for unix
1995
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lmbench: Portable tools for performance analysis
1996
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A decentralized model for information flow control
1997
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Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state
2001
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http://www.bbci.de/competition/ii/albany_desc/albany_desc_ii.html , 2002
P300 · 2002
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Bci2000: a general-purpose brain-computer interface (bci) system
2004
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Provenance-aware storage systems
2006
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Information flow control for standard os abstractions
2007
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Pios: Detecting privacy leaks in ios applications
2011
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Hi-fi: collecting high-fidelity whole-system provenance
2012
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Review of the bci competition iv
2012
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Detecting passive content leaks and pollution in android applications
2013
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App stores for the brain: Privacy & security in brain-computer interfaces
2014
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Taintdroid: an information-flow tracking system for realtime privacy monitoring on smartphones
2014
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Explaining and harnessing adversarial examples
2014
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Quadcopter flight control using a low-cost hybrid interface with eeg-based classification and eye tracking
2014
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Multi-factor eeg-based user authentication
2014
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Brain computer interfacing: Applications and challenges
2015
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Towards a low cost brain-computer interface for real time control of a 2 dof robotic arm
2015
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Camflow: Managed data-sharing for cloud services
2015
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Between mutual trust and mutual distrust: practical fine-grained privilege separation in multithreaded applications
2015
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Effective real-time android application auditing
2015
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Regulating arm trustzone devices in restricted spaces
2016
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Security analysis of emerging smart home applications
2016
Cited alongside, same era.
Flowfence: Practical data protection for emerging iot application frameworks
2016
Cited alongside, same era.
Gattacking bluetooth smart devices
2016
Cited alongside, same era.
Brainid: Development of an eeg-based biometric authentication system
2016
Cited alongside, same era.
Adversarial examples in the physical world, 2016
2016
Cited alongside, same era.
Protracer: Towards practical provenance tracing by alternating between logging and tainting
2016
Cited alongside, same era.
Practical DIFC enforcement on android
White-box target attack for eeg-based bci regression problems
2019
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Pytorch: An imperative style, high-performance deep learning library
2019
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Deep learning ai application to an eeg driven bci smart wheelchair
2019
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Privaros: A framework for privacy-compliant delivery drones
2020
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Mind your mind: Eeg-based brain-computer interfaces and their security in cyber space
2020
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Secwir: securing smart home iot communications via wi-fi routers with embedded intelligence
2020
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2016
Cited alongside, same era.
Introducing secure provenance in iot: Requirements and challenges
2016
Cited alongside, same era.
Brain computer interface (bci) applications: Privacy threats and countermeasures
2016
Cited alongside, same era.
Optimized deep learning for eeg big data and seizure prediction bci via internet of things
2017
Cited alongside, same era.
Rain: Refinable attack investigation with on-demand inter-process information flow tracking
2017
Cited alongside, same era.
Towards deep learning models resistant to adversarial attacks
2017
Cited alongside, same era.
Advanced machine-learning methods for brain-computer interfacing
2020
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Darknetz: Towards model privacy at the edge using trusted execution environments
2020
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Game of threads: Enabling asynchronous poisoning attacks
2020
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Enclave-aware compartmentalization and secure sharing with sirius
2020
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μ \mu tiles: Efficient intra-process privilege enforcement of memory regions
2020
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https://store.neurosky.com/products/eegid , 2021
eegid · 2021
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https://choosemuse.com , 2021
Muse · 2021
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http://neurosky.com , 2021
Neurosky · 2021
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https://openbci.com , 2021
Openbci · 2021
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Hybrid deep learning (hdl)-based brain-computer interface (bci) systems: a systematic review
2021
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Security in brain-computer interfaces: State-of-the-art, opportunities, and future challenges
2021
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Early exit ensembles for uncertainty quantification
2021
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2021
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Megamind: a platform for security & privacy extensions for voice assistants
2021
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Tiny noise, big mistakes: adversarial perturbations induce errors in brain–computer interface spellers
2021
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Securesim: rethinking authentication and access control for sim/esim
2021
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Vehicle driver drowsiness detection method using wearable eeg based on convolution neural network
2021
Later among the works it cites.