The creation and detection of deepfakes: A survey

Y Mirsky, W Lee - ACM computing surveys (CSUR), 2021 - dl.acm.org
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 …

Deep learning for procedural content generation

J Liu, S Snodgrass, A Khalifa, S Risi… - Neural Computing and …, 2021 - Springer
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 …

The threat of offensive ai to organizations

Y Mirsky, A Demontis, J Kotak, R Shankar, D Gelei… - Computers & …, 2023 - Elsevier
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 …

A survey on learning to reject

XY Zhang, GS Xie, X Li, T Mei… - Proceedings of the IEEE, 2023 - ieeexplore.ieee.org
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 …

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 …

Behavioral biometrics for continuous authentication in the internet-of-things era: An artificial intelligence perspective

Y Liang, S Samtani, B Guo, Z Yu - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
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 …

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 …

Synthetic data in human analysis: A survey

I Joshi, M Grimmer, C Rathgeb, C Busch… - … on Pattern Analysis …, 2024 - ieeexplore.ieee.org
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 …

Security in smart cities: A brief review of digital forensic schemes for biometric data

A Ross, S Banerjee, A Chowdhury - Pattern Recognition Letters, 2020 - Elsevier
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 …

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 …