6 citations · 6 across the 8 of their papers we have counts for
8 papers
Aligning Large Vision-Language Models by Deep Reinforcement Learning and Direct Preference Optimization
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
Large Vision-Language Models (LVLMs) or multimodal large language models represent a significant advancement in artificial intelligence, enabling systems to understand and generate…
Large Language Models for Detection of Life-Threatening Texts
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
Detecting life-threatening language is essential for safeguarding individuals in distress, promoting mental health and well-being, and preventing potential harm and loss of life. T…
Sensitive Image Classification by Vision Transformers
Hanxian He, Campbell Wilson, Thanh Thi Nguyen +1
When it comes to classifying child sexual abuse images, managing similar inter-class correlations and diverse intra-class correlations poses a significant challenge. Vision transfo…
Object Detection Approaches to Identifying Hand Images with High Forensic Values
Thanh Thi Nguyen, Campbell Wilson, Imad Khan +1
Forensic science plays a crucial role in legal investigations, and the use of advanced technologies, such as object detection based on machine learning methods, can enhance the eff…
Adaptive Knowledge Distillation for Classification of Hand Images using Explainable Vision Transformers
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
Assessing the forensic value of hand images involves the use of unique features and patterns present in an individual's hand. The human hand has distinct characteristics, such as t…
Fine-Tuning Llama 2 Large Language Models for Detecting Online Sexual Predatory Chats and Abusive Texts
Thanh Thi Nguyen, Campbell Wilson, Janis Dalins
Detecting online sexual predatory behaviours and abusive language on social media platforms has become a critical area of research due to the growing concerns about online safety,…
The Data Airlock: infrastructure for restricted data informatics
Gregory Rolan, Janis Dalins, Campbell Wilson
Data science collaboration is problematic when access to operational data or models from outside the data-holding organisation is prohibited, for a variety of legal, security, ethi…
PDQ & TMK + PDQF -- A Test Drive of Facebook's Perceptual Hashing Algorithms
Janis Dalins, Campbell Wilson, Douglas Boudry
Efficient and reliable automated detection of modified image and multimedia files has long been a challenge for law enforcement, compounded by the harm caused by repeated exposure…