Robust Machine Learning Systems: Challenges,Current Trends, Perspectives, and the Road Ahead
Muhammad Shafique, Mahum Naseer, Theocharis Theocharides, Christos Kyrkou, Onur Mutlu, Lois Orosa, Jungwook Choi
Abstract
Currently, machine learning (ML) techniques are at the heart of smart cyber-physical systems (CPSs) and Internet-of-Things (loT). This article discusses various challenges and probable solutions for security attacks on these ML-inspired hardware and software techniques.
Topics & Concepts
Computer scienceArtificial intelligenceMachine learningSoftwareEngineeringKey (lock)Work (physics)Robustness (evolution)Support vector machineFeature (linguistics)Adversarial Robustness in Machine LearningSecurity and Verification in ComputingPhysical Unclonable Functions (PUFs) and Hardware Security