Machine Learning and the exception that proves the rule
Speaker: Prof. Enrico Mariconti
University College, London
DEIB - PT1 Room (Bld. 20)
April 24th, 2024 | 11.30 am
Contact: Prof. Stefano Zanero
Research Line: System architectures
University College, London
DEIB - PT1 Room (Bld. 20)
April 24th, 2024 | 11.30 am
Contact: Prof. Stefano Zanero
Research Line: System architectures
Sommario
On April 24th, 2024 at 11.30 am the seminar "Machine Learning and the exception that proves the rule" will take place at DEIB PT1 Room (Building 20).
By now, researchers, organizations, and criminals alike have been using Machine Learning for decades. Throughout the years, looking for a system that is 100% accurate has become an obsession. What if understanding the exception proving the rule is more important?
In this talk I will talk about my research journey using Machine learning and why I feel that we need to give more consideration, if not even a pivotal role, to looking to explain the algorithm rather than looking for its perfection. I will start from Android Malware papers, go through works on hate speech, cyberabuse, and forensic anthropology to show my vison on the need to work on interpretability and explainability in Machine Learning.
By now, researchers, organizations, and criminals alike have been using Machine Learning for decades. Throughout the years, looking for a system that is 100% accurate has become an obsession. What if understanding the exception proving the rule is more important?
In this talk I will talk about my research journey using Machine learning and why I feel that we need to give more consideration, if not even a pivotal role, to looking to explain the algorithm rather than looking for its perfection. I will start from Android Malware papers, go through works on hate speech, cyberabuse, and forensic anthropology to show my vison on the need to work on interpretability and explainability in Machine Learning.
Biografia
Dr. Enrico Mariconti is an Assistant Professor at University College London.
He is a Telecommunication Engineer by background, who finished his MSc in Multimedia Signal Processing and Telecommunications Networks in Genova in 2014. He then continued his studies at UCL with a PhD focused on malware and automated threats detection, in particular by using AI. Since 2019 he is an Assistant Professor at UCL, in the Jill Dando Institute, Department of Security and Crime Science. He widened his research horizons to the analysis of hate and abuse online, but also to the interpretation of forensic anthropology evidence using ML with Dr Sherry Nakhaeizadeh and Prof Ruth Morgan.
He is a Telecommunication Engineer by background, who finished his MSc in Multimedia Signal Processing and Telecommunications Networks in Genova in 2014. He then continued his studies at UCL with a PhD focused on malware and automated threats detection, in particular by using AI. Since 2019 he is an Assistant Professor at UCL, in the Jill Dando Institute, Department of Security and Crime Science. He widened his research horizons to the analysis of hate and abuse online, but also to the interpretation of forensic anthropology evidence using ML with Dr Sherry Nakhaeizadeh and Prof Ruth Morgan.
