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The Role of Differential Privacy in Protecting Sensitive Information in the Era of Artificial Intelligence

Security Affairs

Differential privacy (DP) protects data by adding noise to queries, preventing re-identification while maintaining utility, addressing Artificial Intelligence -era privacy challenges. In the era of Artificial Intelligence, confidentiality and security are becoming significant challenges.

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The Hacker Mind Podcast: Hacking Behavioral Biometrics

ForAllSecure

So of course when I saw that some researchers were presenting a talk at SecTor 2021 in Toronto on defeating biometrics with artificial intelligence, well I knew I had to talk to them as well. The idea was to see whether a computer could possess a level of artificial intelligence that can mimic human responses under specific conditions.

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Lawmakers Should Update The Anti-Money-Laundering Act Of 2020 To Account For Inflation

Joseph Steinberg

While technological improvements over the past 51 years have obviously improved law enforcement’s capabilities vis-à-vis identifying problematic transactions, overreporting as a result of unnecessarily low thresholds can sometimes also hamper money-laundering detection by “creating much larger haystacks in which needles must be found.”

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Inside BNP Paribas’ Digital Banking Innovation: Cloud, Data, AI

Security Boulevard

Big banks, once kings of capital, are facing competitive pressure from both fintech and the technology giants, who are making great strides to offer a seamless digital financial services experience tied to their core platform, while managing a flurry of stringent regulations across the globe. .

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