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Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey
Indeed, Adversarial Artificial Intelligence (AI) which refers to a set of techniques that attempt to fool machine learning models with deceptive data, is a growing threat in the AI and machine learning research community, in particular for machine-critical applications.
Do People Prefer "Natural" code?
Natural code is known to be very repetitive (much more so than natural language corpora); furthermore, this repetitiveness persists, even after accounting for the simpler syntax of code.
Enabling Intuitive Human-Robot Teaming Using Augmented Reality and Gesture Control
Human-robot teaming offers great potential because of the opportunities to combine strengths of heterogeneous agents.
Nonparametric mixture of Gaussian graphical models
Graphical model has been widely used to investigate the complex dependence structure of high-dimensional data, and it is common to assume that observed data follow a homogeneous graphical model.
