NoiseAttack is a Novel Backdoor That Uses Power Spectral Density For Evasion

NoiseAttack is a new method of secretly attacking deep learning models. It uses triggers made from White Gaussian Noise to create several targeted classes in the model, rather than just one, like most current methods.  This approach also helps avoid being easily detected, which makes it more effective than traditional single-target attacks. The following cybersecurity […]

The post NoiseAttack is a Novel Backdoor That Uses Power Spectral Density For Evasion appeared first on GBHackers Security | #1 Globally Trusted Cyber Security News Platform.