Results 81 to 90 of about 329,954 (262)
A Transferable Anti-Forensic Attack on Forensic CNNs Using A Generative Adversarial Network [PDF]
arXiv, 2021 With the development of deep learning, convolutional neural networks (CNNs) have become widely used in multimedia forensics for tasks such as detecting and identifying image forgeries. Meanwhile, anti-forensic attacks have been developed to fool these CNN-based forensic algorithms.
arxiv
Can Artificial Intelligence Language Models Effectively Address Dental Trauma Questions?
Dental Traumatology, EarlyView.ABSTRACT Background/Aim Artificial intelligence (AI) chatbots, also known as large language models (LLMs), have become increasingly common educational tools in healthcare. Although the use of LLMs for emergency dental trauma is gaining popularity, it is crucial to assess their reliability. This study aimed to compare the reliabilities of different LLMs
Hasibe Elif Kuru +2 more
wiley +1 more source
Digital Forensics vs. Anti-Digital Forensics: Techniques, Limitations and Recommendations [PDF]
arXiv, 2021 The number of cyber attacks has increased tremendously in the last few years. This resulted into both human and financial losses at the individual and organization levels. Recently, cyber-criminals are leveraging new skills and capabilities by employing anti-forensics activities, techniques and tools to cover their tracks and evade any possible ...
arxiv
Journal of Anatomy, EarlyView.Using microtomographic scans of modern human arm and forearm bones and anterior dentition, we quantified cortical bone and dentine volumes and their topographic distribution. Our results revealed a co‐variation between cortical bone and dentine volumes, suggesting shared factors influencing their postnatal development.
Mathilde Augoyard +8 more
wiley +1 more source
Corpus approaches to forensic linguistics [PDF]
, 2020 This chapter explores the application of corpora and corpus linguistics in forensic contexts. It documents the use of corpus methods in the field, particularly the relatively slow uptake of such approaches, despite some of the earliest and most important work relying on such approaches.
openaire +1 more source
Interrogation questions to native and non‐native eyewitnesses: The role of witness credibility
Legal and Criminological Psychology, EarlyView.Abstract Purpose This study examined how the language of eyewitnesses (native vs. non‐native) and their perceived credibility influence the interrogation questions posed to them. Method In a previous study (Raver et al., Frontiers in Psychology, 2023, 14, 1240822), participants, assuming the role of interrogators, watched either a native or non‐native ...
Arman Raver +3 more
wiley +1 more source
Ethical Questions in NLP Research: The (Mis)-Use of Forensic Linguistics [PDF]
arXiv, 2017 Ideas from forensic linguistics are now being used frequently in Natural Language Processing (NLP), using machine learning techniques. While the role of forensic linguistics was more benign earlier, it is now being used for purposes which are questionable.
arxiv
Annals of Anthropological Practice, EarlyView.Abstract Ethnographic field schools provide students a real‐world experience in data gathering, analysis, and report writing. The field sites themselves become a key element in the learning process as students move out into the field with increasing confidence through the weeks of the program. The people and communities they encounter are both affected
Tim Wallace
wiley +1 more source
A Scoping Review of the Quality of Orthodontic Information on YouTube
Orthodontics &Craniofacial Research, EarlyView.ABSTRACT YouTube is among the most popular social media platforms globally. The aim of this scoping review was to collate and synthesise the evidence related to the quality of information (QOI) about orthodontic‐related videos uploaded to YouTube. The preferred reporting items for systematic reviews and meta‐analyses extension for scoping reviews ...
Maurice J. Meade +2 more
wiley +1 more source
AnyFace: Free-style Text-to-Face Synthesis and Manipulation [PDF]
arXiv, 2022 Existing text-to-image synthesis methods generally are only applicable to words in the training dataset. However, human faces are so variable to be described with limited words. So this paper proposes the first free-style text-to-face method namely AnyFace enabling much wider open world applications such as metaverse, social media, cosmetics, forensics,
arxiv