New adversarial mask designs evade facial recognition systems BiometricUpdate, July 15, 2022 Israeli researchers from Ben-Gurion University of the Negev and Tel Aviv University have found that cloth face masks with adversarial patterns that cover the nose and mouth can dodge facial recognition systems in at least 96% cases. Facial ...
Adversarial machine learning and artificial intelligence are a concern in the information security community. Algorithm Claims to Predict Crime in US Cities Before It Happens Bloomberg, June 30, 2022 (Updated on July 4, 2022) A study published in Nature Human Behavior has found that a new computer algorithm that claims ...
Science-fiction writers are fond of using artificial intelligence (AI) as the antagonist in their stories. From the “Terminator” franchise to newer entrants in the genre like “Ex Machina,” losing control of an AI system almost always leads to the downfall of the protagonists and sometimes the rest of the human ...
Concerns about the security of AI systems are on the rise GitHub Copilot works so well because it steals open-source code and strips credit TheNextWeb, July 1, 2022 Recently, the real incident involving Model Extraction attack on AI occurred. Critical data of the training dataset was extracted from the trained ...
ML Conference is the go-to event for Machine Learning enthusiasts, the world’s leading machine learning experts and innovators as they share their ideas and experience. The founder of Adversa AI Alex Polyakov delivered a presentation dedicated to Threat Modeling for machine learning at the ML Conference Munich 2022 on June ...
Machine Learning models not as secure and safe as it might seem at first glance Microsoft’s framework for building AI systems responsibly Microsoft, June 21, 2022 AI is increasingly seeping into all areas of human lives. So, it is essential to ensure that AI systems and their structure are both ...
AI Red Teaming – Before using any technology, you must make sure it is safe and secure Israel presents a new robotic combat vehicle raising questions about AI security i24NEWS, June 13, 2022 At a defense exhibition in France on Monday (13/06), the development of the Defense Ministry together with ...
The annual machine learning (ML) security evasion competition invites ML practitioners and security researchers to compete against their peers. The Machine Learning Security Evasion Competition 2022 (MLSEC 2022) is a collaboration between Zoltan Balazs (Head of Vulnerability Research Lab at CUJO AI), Hyrum Anderson (Distinguished Engineer at Robust Intelligence), and ...
Carrying out attacks on machine learning models as part of the study is necessary for further successful work on potential vulnerabilities. And here is a selection of the most interesting studies for June 2022. Enjoy! FakeWeather: Adversarial Attacks for Deep Neural Networks Emulating Weather Conditions Deep Neural Networks (DNNs), ...
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