News and information for the CyberSec&AI Connected international conference taking place on November 4-5, 2021 as a virtual event.

Joined May 2019
🧠Research shows that the average person listens at only about 25% efficiency. Don't worry, we got you. We made all #CyberSecAI recordings available for registered attendees! Click here: ava.st/3wM96Fw
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⏰The last workshop of this year's CyberSec&AI Connected is about to start! @mrigaki from @CVUTPraha is presenting: Stealing Malware Classification Models for Antivirus Evasion. #CyberSecAI
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Up next, Zahra Ghodsi from @UCSanDiego will be talking about Safe and Private Learning: From Federated Edges to Fogs and Clouds. #CyberSecAI
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Our next presenter is Professor Martine de Cock from the School of Engineering and Technology @UWTacoma. Hear her speak about Privacy-Preserving #MachineLearning with Secure Multiparty Computation. #CyberSecAI
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“If you want to be able to reliably detect #malware, you have to analyze multiple telemetries together,” says Martin Kopp from @Cisco. #CyberSecAI
Let's give a round of applause to today's moderator and a true expert in the #AI industry @fjbiondi! 👏 BTW, did you know Fabrizio is also a part of our Program Committee? Without him, #CyberSecAI wouldn't be what it is today. #ThankYou!
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Humans are often biased. 👨 And #algorithms are created by humans. So, how do we achieve fairness, and what is the cost? #CyberSecAI
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Another workshop is starting! 💥 This time, Ph.D. candidate @Hongyan_Chang at @NUSingapore will share with us her presentation on “On the Privacy Risks of Algorithmic Fairness”! #CyberSecAI
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📣 “When an attacker can answer a question better than I can guess it, he’s considered successful,” explains @MartinStrobel11 from @NUSingapore how membership inference attacks work.
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@maurapintor from @univca tells us how to understand why and how adversarial attacks fail. Do you have any guesses? #CyberSecAI
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