Security • Quick & Genuine

: Injecting malicious data into training sets to corrupt the learning process.

The intersection of security and deep learning covers two primary areas: using deep learning to security (e.g., intrusion detection) and protecting deep learning models from vulnerabilities (e.g., adversarial attacks) . Key Security Threats to Deep Learning security

: Subtly altering input data to trick a model into making incorrect predictions. : Injecting malicious data into training sets to