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Evolutionary Adversarial Attacks on Deep Networks
Author(s): Moshe Sipper, Ph.D. Originally published on Towards AI. AI-generated image (craiyon) Despite their uncontested success, recent studies have shown that Deep Neural Networks (DNNs) are vulnerable to adversarial attacks. A barely detectable change in an image can cause a misclassification in …
Uncovering the Dark Side of AI: Why Our Intelligent Systems Are More Vulnerable Than We Think
Author(s): Christian Kruschel Originally published on Towards AI. Artificial Intelligence (AI) has rapidly advanced in recent years and found extensive applications in many fields. These intelligent systems have remarkable capabilities to solve complex problems, improve efficiency, and achieve superior performance. However, they …
Adversarial Attacks in Textual Deep Neural Networks
Author(s): Edward Ma Originally published on Towards AI. What is an adversarial attack? Photo by Solal Ohayon on Unsplash Adversarial examples aim at causing target model to make a mistake on prediction. It can be either be intended or unintended to cause …
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