{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"Recsperts - Recommender Systems Experts","title":"#4: Adversarial Machine Learning for Recommenders with Felice Merra","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/bf6e699e\"></iframe>","width":"100%","height":180,"duration":4157,"description":"In episode four my guest is Felice Merra, who is an applied scientist at Amazon.\r\nFelice obtained his PhD from Politecnico di Bari where he was a researcher at the Information Systems Lab (SisInf Lab).\r\nHe investigated Security and Adversarial Machine Learning in Recommender Systems by looking at different\r\nways to perturb interaction or content data, but also model parameters, and elaborated various defense strategies.","thumbnail_url":"https://img.transistorcdn.com/5aEuXaIPxTFiKrepOVeTtB4JSWf3YlVUbAQdiV2LNzA/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9zaG93/LzI0Mzc3LzE2MzIz/NDExMjMtYXJ0d29y/ay5qcGc.webp","thumbnail_width":300,"thumbnail_height":300}