/
Aug
4,
2021
What is AI Red Teaming? Why is it important and how can we apply penetration testing and SDLC methodologies for Machine Learning. In this presentation, we will answer those questions, but more importantly, demonstrate how this can be applied in practice for testing such critical applications as AI-driven facial recognition systems. Facial recognition technology has grown in its prevalence, and today you can find it in different areas of human activity, including social media, smart homes, ATMs and stores. Recently,... Read More
Alex Polyakov
Alex Polyakov
Adversa.AI
Adversa.AI
/
Jul
8,
2021
Automatically extracting key events from sports videos is extremely useful for teams, coaches, fans, and anybody who only wants to watch the highlights of a match. In our work, we propose a solution to automate the detection of key events in GAA hurling matches. In particular, our solution focuses on the detection of the four important events in the sport: puckouts, kickouts, scores, and wides. Due to both the wide variety of detectable events and the scarce availability of training... Read More
Dr. Luca Marchesotti
Dr. Luca Marchesotti
Sparkd
Sparkd
/
Feb
1,
2021
Transformers are the new go-to technology for Natural Language Processing (NLP) and are also starting to gain traction in the computer vision community. However, despite all their successes and widespread adoption, they have one major drawback: Their computation and memory requirements grow quadratically with the input size. Hence training transformer models from scratch is a very resource-intensive task. In this session we want to take a look at the current state of the research into efficient transformer layers, i.e. reformulations... Read More
Christoph Henkelmann
Christoph Henkelmann
DIVISIO GmbH
DIVISIO GmbH