Ensuring AI security is not an easy thing, and a lot is to be done in the future. Making attacks easier with the help of AI TechHQ, November 23, 2020 The rise of machine learning and artificial intelligence technologies has resulted in more than just a number of useful innovations: ...
Adversarial attacks with their ability to affect the behaviour of smart systems is something that makes researchers worry and there are reasons why. Anti-adversarial ML defences are on the rise TechCentral, November 20, 2020 Much of the recent research has been dedicated to the topic of adversarial examples, and it’s ...
The abilities of smart technologies are huge and that is ways it is also both important and difficult to control the risks associated with it. “Smart” stenography for concealing speech data Analytics India Magazine, November 10, 2020 Coming from Greek steganographia, steganography means concealed or covered. It is the practice ...
What is Trusted AI? Asking Google to build a route feels like doing the trust fall exercise. Behind me there is a vague understanding of AI and promises that it can be trusted, help unbiasedly and keep my data secure. A team of AI creators I have never met is ...
AI had spread all over the existing spheres of human activity, which means that sometimes its security is a question of life and death. Backdoor attacks need no triggers TechTalks, November 5, 2020 It is currently known that a bad actor can attack an AI system in several ways, and ...
Fearing smart technologies for no adequate reason is pointless; still the existing risks are certainly have to be taken into consideration. AI fear takes molehills for mountains Forbes, October 29, 2020 The possible threats of AI cannot be just eliminated from our minds, but some concerns about the possible risks ...
Despite the fact that deep neural networks have become an integral part of highly vulnerable activities, they are highly susceptible to adsarial attacks. We have compiled a selection of the most interesting studies for October 2020. Dynamic Adversarial Patch for Evading Object Detection Models Deep neural networks (DNN) have become ...
Malefactors are never out of the game, but neither researchers are: new ways of combating attacks on AI are already available. New Martix aiming to battle against adversarial attacks Venture Beat, October 22, 2020 Based on the data provided by a Gartner report, by 2022, 30% of all cyberattacks onAI-based ...
Facial recognition systems are becoming more resistant to attacks SingPass facial verification gives access to 400 services NBC News, October 12, 2020 In Singapore, face recognition systems have become an integral part of the life of citizens: with the help of a national digital identity program called SingPass they will ...
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