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Changing California’s privacy law: A snapshot at the support and opposition

Credit to Author: David Ruiz| Date: Thu, 25 Jul 2019 15:59:59 +0000

Before the California Senate returns from its summer recess, we look at the authors, supporters, opponents, and donors involved in an extended fight to change California’s privacy law, the California Consumer Privacy Act.

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The post Changing California’s privacy law: A snapshot at the support and opposition appeared first on Malwarebytes Labs.

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New machine learning model sifts through the good to unearth the bad in evasive malware

Credit to Author: Eric Avena| Date: Thu, 25 Jul 2019 16:30:55 +0000

Most machine learning models are trained on a mix of malicious and clean features. Attackers routinely try to throw these models off balance by stuffing clean features into malware. Monotonic models are resistant against adversarial attacks because they are trained differently: they only look for malicious features. The magic is this: Attackers can’t evade a monotonic model by adding clean features. To evade a monotonic model, an attacker would have to remove malicious features.

The post New machine learning model sifts through the good to unearth the bad in evasive malware appeared first on Microsoft Security.

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