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/ All Podcast Series / / CS Digest Roundtable #3: Tricking Neural Networks, CIA Impersonation, International Data Privacy, and Encrypted Malware Detection

- CS Digest Roundtable #3: Tricking Neural Networks, CIA Impersonation, International Data Privacy, and Encrypted Malware Detection

| Presenters: Mike Corley, Michael VanSteenburg, Sean Bird | Leave a Comment

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https://www.csiac.org/podcast-player/43164/cs-digest-roundtable-3-tricking-neural-networks-cia-impersonation-international-data-privacy-and-encrypted-malware-detection.mp3

In today’s episode the CSIAC takes the most important articles in a past CS Digest and discusses the articles’ importance in the world of technology and cyber security.

CS Digest Articles Discussed:

A Simple Sticker Tricked Neural Networks Into Classifying Anything as a Toaster

Image recognition technology may be sophisticated, but it is also easily duped. Researchers have fooled algorithms into confusing two skiers for a dog, a baseball for espresso, and a turtle for a rifle. But a new method of deceiving the machines is simple and far-reaching, involving just a humble sticker.

British 15-year-old Gained Access to Intelligence Operations in Afghanistan and Iran by Pretending to be Head of CIA, Court Hears

A 15-year-old gained access to plans for intelligence operations in Afghanistan and Iran by pretending to be the head of the CIA to gain access to his computers, a court has heard.

Tech Giants and Elected Officials Back Microsoft in Supreme Court Case on International Data Privacy

Microsoft is set for a Supreme Court face-off with the U.S. Department of Justice next month over the privacy of emails stored abroad, and some of the world’s biggest tech giants as well as elected representatives in the U.S. and Europe are lending support to Microsoft’s arguments.

Cisco Rolls Out Solution to Detect Malware in Encrypted Traffic

Cisco rolled out Encrypted Traffic Analytics (ETA), a breakthrough technology that identifies malware in encrypted traffic without the need of intercepting and decrypting data streams.

The Cybersecurity (CS) Digest is a curated bi-weekly news summary for cybersecurity professionals. It is transmitted in an HTML-formatted email and provides links to articles and news summaries across a spectrum of cybersecurity topics.

Read the Latest Digest Subscribe to Digest Suggest an article for the CS Digest

Presenters

Mike Corley
Mike Corley
Mike Corley is a R&D Associate of Quanterion Solutions, Inc. He supports a variety of contracts with Defense Technical Information Center (DTIC) - the Cyber Security Information Analysis Center (CSIAC), and the Air Force Research Laboratory (AFRL) in Rome NY. Mr. Corley has more than 15 years of professional experience in software architecture design, software development, and systems engineering focusing on applications of computer networking and cybersecurity. Mike received a master's degree in Computer Engineering from Syracuse University in 2011. He has a recent interest in next generation Cloud enabled services.
Michael VanSteenburg
Michael VanSteenburg
Mr. VanSteenburg is a Cyber Security Analyst at Quanterion Solutions Incorporated in Utica, NY. He has earned his Masters degree in cybersecurity from Utica College with a concentration in computer forensics. His areas of expertise are computer and network security, information assurance, and computer forensics. His research focuses on network design security, intrusion detection systems, and implementation of current cybersecurity best practices. He also has experience in transitioning web systems from traditional infrastructure to the Azure Government cloud as well as deploying privately hosted cloud infrastructure.
Sean Bird
Sean Bird
Sean Bird is a Software Engineer with Quanterion Solutions Inc. in Utica, NY. His work includes system design, systems analysis, software development, and cloud security/infrastructure. He has earned his undergraduate degree in Cybersecurity from SUNY Polytechnic Institute (formerly SUNYIT) and is currently pursuing his graduate degree in Computer Engineering at Syracuse University.
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