Aditya Chichani

In this discussion, Aditya Chichani, a senior machine learning engineer at Walmart with a master's in data science from UC Berkeley, dives into the intriguing world of shilling attacks on recommender systems. He explains how malicious actors manipulate these systems using fake profiles to either promote items or sabotage competitors. Aditya details various attack strategies, like segmented and bandwagon attacks, revealing the alarming prevalence of fake reviews and the vulnerabilities in collaborative filtering. The conversation also highlights detection methods and the ongoing cat-and-mouse dynamics between attackers and system defenders.