A Tale of Evil Twins: Adversarial Inputs Versus Poisoned Models
General Description of the Topic Regardless of the successes in a spectrum of domains, deep learning systems have proven to be inherently susceptible to certain types of manipulations. One of these manipulations is the adversarial inputs, which involves the process of maliciously crafting samples that would cheat the target’s Deep Neural Network (DNN) models (Pang ... Read More
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