Technical and Socio-Technical Responses to Deepfakes - AiLECS Lab

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Countering online child exploitation Curating ethical datasets Detecting illegal firearms Interdisciplinary AI research Managing sensitive data Uncategorized

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9 results

Technical and Socio-Technical Responses to Deepfakes

Generously funded by the Monash Data Futures Institute, this is a joint research program between the Faculties of Arts, Law […]

The EXPLAIN Project

Although there has been a great deal of work in the use of AI technologies across the law enforcement sector, […]

Image Localisation by Content

One of the challenges in image processing in a law enforcement context is that of understanding spatio-temporal context. This problem […]

Law Enforcement Data Interoperability

Systemic interoperability within and between law enforcement agencies is vital to address the large scale technical challenges inherent in combatting […]

Project Metior Telum

Project Metior Telum (“measure the weapon“) is a large scale AiLECS initiative to build a highly accurate automatic firearm detection system. A […]

The VALID Project

The VALID (Veracity, Agency, Longevity, Integrity and Dignity) in datasets project is actively working on frameworks to improve data quality, ethical accountability, and […]

Transfer Learning for CSAM Classification

A common approach to automatically identifying child sexual abuse material (CSAM), is that of dividing the whole task into several […]

Perceptual Hashing

Effective automatic detection of Child Sexual Abuse Material (CSAM) is a continuing challenge, including the rapid detection of previously seen […]

The Data Airlock

Frameworks for managing sensitive data The challenges of inter-organisational collaborative R&D, are made vastly more difficult if there are constraints […]