Autonomous transportation is one of the most popular research topics, and for good reason
Venture Beat, February 22, 2021
For a long time, the issues of the safety of smart machines and trust in them have remained an acute issue in society. The dream of all developers is to achieve such a level of AI, when autonomous vehicles become absolutely reliable and can save lives.
However, unfortunately, based on a new study by a new European Union Agency for Cybersecurity (ENISA), modern autonomous vehicles are still very far from this, because, according to researchers, they are susceptible to a wide variety of attacks, including adversarial machine learning attacks, back-end malicious actions, and sensor attacks affecting detection systems. Most frightening is the fact that such attacks can potentially be really dangerous to the health and life of both pedestrians and drivers.
It is noted in the report that “the absence of sufficient security knowledge and expertise among developers and system designers on AI cybersecurity is a major barrier that hampers the integration of security in the automotive sector.”
The Enterprisers Project, February 22, 2021
Before a company implements artificial intelligence technologies, it should familiarize itself with privacy issues and ways to improve it. Here are three basic techniques that can help you a lot in this.
One of the challenges for AI security researchers is to find vulnerabilities in existing defenses. This is what one of the most interesting studies of February 2021 is devoted to. Oriole: Thwarting Privacy against Trustworthy Deep Learning Models Facial recognition [...]
