While computer vision has become one of the most used technologies across the globe, computer vision models are not immune to threats. . One of the reasons for this threat is the underlying lack of robustness of the models. Indrajit Kar, who is the
While computer vision has become one of the most used technologies across the globe, computer vision models are not immune to threats. One of the reasons for this threat is the underlying lack of robustness of the models. Indrajit Kar, who is the Principal Solution Architect at Accenture, took through a talk at CVDC 2020 on how to make AI more resilient to attack.
As Kar shared, AI has become the new target for attackers, and the instances of manipulation and adversaries have increased dramatically over the last few years. From companies such as Google and Tesla to startups are affected by adversarial attacks.
“While we celebrate advancements in AI, deep neural networks (DNNs)—the algorithms intrinsic to much of AI—have recently been proven to be at risk from attack through seemingly benign inputs. It is possible to fool DNNs by making subtle alterations to input data that often either remain undetected or are overlooked if presented to a human,” he said.
Alterations to images that are so small as to remain unnoticed by humans can cause DNNs to misinterpret the image content. As many AI systems take their input from external sources—voice recognition devices or social media upload, for example—this ability to be tricked by adversarial input opens a new, often intriguing, security threat. This has called for an increase in cybersecurity which is coming together to address the crevices in computer vision and machine learning.
This article covers A-Z about the mobile and web app development process and answers your question on how long does it take to develop/build an app.
For a developer, becoming a team leader can be a trap or open up opportunities for creating software. Two years ago, when I was a developer, ... by Oleg Sklyarov, Fullstack Developer at Skyeng company
To make the most out of the benefits of offshore software development, you should understand the crucial factors that affect offshore development.
A recent paper has explored the possibility of influencing the predictions of a freshly trained Natural Language Processing (NLP) model by tweaking the weights re-used in its training. his result is especially interesting if it proves to transfer also to the context of Computer Vision (CV) since there, the usage of pre-trained weights is widespread.
#1 Ruby on Rails development company. Hire Ruby on rails developer or a team to build secure, scalable and complex web solutions with a quick turnaround time.