The creation and detection of deepfakes: A survey
Generative deep learning algorithms have progressed to a point where it is difficult to tell the
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …
difference between what is real and what is fake. In 2018, it was discovered how easy it is to …
Deep learning for procedural content generation
Procedural content generation in video games has a long history. Existing procedural
content generation methods, such as search-based, solver-based, rule-based and grammar …
content generation methods, such as search-based, solver-based, rule-based and grammar …
The threat of offensive ai to organizations
AI has provided us with the ability to automate tasks, extract information from vast amounts of
data, and synthesize media that is nearly indistinguishable from the real thing. However …
data, and synthesize media that is nearly indistinguishable from the real thing. However …
A survey on learning to reject
Learning to reject is a special kind of self-awareness (the ability to know what you do not
know), which is an essential factor for humans to become smarter. Although machine …
know), which is an essential factor for humans to become smarter. Although machine …
Differentiable quality diversity
M Fontaine, S Nikolaidis - Advances in Neural Information …, 2021 - proceedings.neurips.cc
Quality diversity (QD) is a growing branch of stochastic optimization research that studies the
problem of generating an archive of solutions that maximize a given objective function but …
problem of generating an archive of solutions that maximize a given objective function but …
Behavioral biometrics for continuous authentication in the internet-of-things era: An artificial intelligence perspective
In the Internet-of-Things (IoT) era, user authentication is essential to ensure the security of
connected devices and the customization of passive services. However, conventional …
connected devices and the customization of passive services. However, conventional …
Increasing generality in machine learning through procedural content generation
S Risi, J Togelius - Nature Machine Intelligence, 2020 - nature.com
Procedural content generation (PCG) refers to the practice of generating game content, such
as levels, quests or characters, algorithmically. Motivated by the need to make games …
as levels, quests or characters, algorithmically. Motivated by the need to make games …
Synthetic data in human analysis: A survey
Deep neural networks have become prevalent in human analysis, boosting the performance
of applications, such as biometric recognition, action recognition, as well as person re …
of applications, such as biometric recognition, action recognition, as well as person re …
Security in smart cities: A brief review of digital forensic schemes for biometric data
A smart city is engineered to be a self-sustained ecosystem driven by Internet-of-Things (IoT)
devices. Smooth functioning of smart cities is conditioned on seamless communication …
devices. Smooth functioning of smart cities is conditioned on seamless communication …
Artificial intelligence and crime: A primer for criminologists
KJ Hayward, MM Maas - Crime, Media, Culture, 2021 - journals.sagepub.com
This article introduces the concept of Artificial Intelligence (AI) to a criminological audience.
After a general review of the phenomenon (including brief explanations of important cognate …
After a general review of the phenomenon (including brief explanations of important cognate …