Knowledge about artificial intelligence and its security needs to be constantly improved How Do We Attack AI? Learn More at Our RSA Panel! Cloud Security Podcast by Google, June 6, 2022 Cloud Security Podcast by Google held a conversation with Google Research Scientist Nicholas Carlini, during which Nicholas spoke about ...
Adversa AI wins Next Gen Adversarial ML Threat Mitigation Award in 10th Annual Global InfoSec Awards at #RSAC 2022 SAN FRANCISCO – JUNE 8, 2022 – Adversa AI is proud to announce that they have won the Next Gen Adversarial ML Threat Mitigation Award from Cyber Defense Magazine (CDM), the ...
Even artificial intelligence can be fooled with the help of another artificial intelligence Adopting MLSecOps for secure machine learning at scale VentureBeat, June 3, 2022 Given the scale and complexity of any enterprise’s software stack, security always existed, exists, will be a major concern for most IT teams. Now, in ...
17th Annual 2022 Information Technology World Awards by The Globee Awards, the world’s premier business awards for every industry, has recognized Adversa AI as winners in two nominations: Startup of the Year in the Artificial Intelligence category: among other achievements in product and research, Adversa AI was honored for the world’s ...
No matter how smart the systems are – they still need our control Machine learning has a backdoor problem TechTalks, May 23, 2022 The security of machine learning continues to gain relevance as their application increases. A new study by researchers at UC Berkeley, MIT looked at the security risks ...
Artificial intelligence hasn’t evolved enough to be left out of our control AI Ethics Tempted But Hesitant To Use AI Adversarial Attacks Against The Evils Of Machine Learning, Including For Self-Driving Cars Forbes, May 16, 2022 The more we know about our opponents, the more we are protected and ready ...
Smart systems still need our control and laws to limit them Top GitHub libraries for building explainable AI models Analytics India Mag, May 11, 2022 Explainability is a necessary element in creating a responsible AI that can be called trustworthy. GitHub hosts several libraries focused on explaining black box models, auditing model ...
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 April 2022. Enjoy! Adversarial attacks on an optical neural network Despite the fact that adversarial attacks have already ...
AI may be much more powerful than you think Applications for artificial intelligence in Department of Defense cyber missions Microsoft, May 3, 2022 The Microsoft Chief Scientist shares his views on four key areas at the intersection of AI and cybersecurity that require special attention at the moment, including AI ...
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