Event Details

In today&rsquos fast-moving world, machine learning (ML) models and systems are any and everywhere. Right from autonomous navigation of vehicles and UAVs, weather forecasting, biometric recognition, financial stocks, sports, and even predicting election trends and vote shares, ML models are now omnipresent. However, ML models and systems come with their own set of risks, which acts as a caveat for their omnipresence. Risks involve model understanding and accountability, vulnerability to unforeseen faults, adversarial manipulation, and concerns about following ethical norms in privacy and fairness. The focus of the workshops/boot camps will be specifically on educating the participants on the security aspects of autonomous vehicles and UAV&rsquos both from software and hardware point of view.