#secuirty — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #secuirty, aggregated by home.social.
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This seems new: Perimeter link feature in Network Security Perimeter (Preview) https://learn.microsoft.com/en-us/azure/private-link/perimeter-links-overview #Azure #AzureNetworking #Secuirty
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This seems new: Perimeter link feature in Network Security Perimeter (Preview) https://learn.microsoft.com/en-us/azure/private-link/perimeter-links-overview #Azure #AzureNetworking #Secuirty
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Happy to announce that I made it into the vExpert subprograms for Security and VCF!
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Happy to announce that I made it into the vExpert subprograms for Security and VCF!
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Happy to announce that I made it into the vExpert subprograms for Security and VCF!
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Happy to announce that I made it into the vExpert subprograms for Security and VCF!
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Happy to announce that I made it into the vExpert subprograms for Security and VCF!
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Spain, Ireland, Slovenia urge EU to review Israel ties over rights concerns https://www.byteseu.com/1956586/ #CitingHumanRightsConcernsAndWorseningConditionsInGaza #EuIsrael #IrelandAndSloveniaCallOnTheEUToReconsiderCooperationWithIsrael #secuirty #Slovenia #Spain
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Ars Technica: AI models can acquire backdoors from surprisingly few malicious documents. “The research involved training AI language models ranging from 600 million to 13 billion parameters on datasets scaled appropriately for their size. Despite larger models processing over 20 times more total training data, all models learned the same backdoor behavior after encountering roughly the same […]
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Ars Technica: AI models can acquire backdoors from surprisingly few malicious documents. “The research involved training AI language models ranging from 600 million to 13 billion parameters on datasets scaled appropriately for their size. Despite larger models processing over 20 times more total training data, all models learned the same backdoor behavior after encountering roughly the same […]
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Ars Technica: AI models can acquire backdoors from surprisingly few malicious documents. “The research involved training AI language models ranging from 600 million to 13 billion parameters on datasets scaled appropriately for their size. Despite larger models processing over 20 times more total training data, all models learned the same backdoor behavior after encountering roughly the same […]
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#bsidesume is starting. #secuirty