Alyssa Miller is a hacker, security advocate, author, and public speaker with 15 years of experience in security roles. She has always had a passion for deconstructing and exploring technology, particularly since buying her first computer at the age of 12 and teaching herself BASIC programming. In her career, Alyssa has performed all forms of security assessments but given her developer background, she has a dedication to application security. She specializes in working with business and security leaders to design and deploy effective security programs that strengthen enterprise security posture.
Alyssa is also committed to advocating for improving security practices. Not only does she speak internationally at various industry, vendor and corporate events, Alyssa also engages in the community through her online content, media appearances, and security community activism. Her journey through security was recently featured in Cybercrime Magazine. She’s also been recognized in Peerlyst’s e-Book “50 Influential Penetration Testers”. Alyssa is board member for Women of Security (WoSEC), Advisory Board Member for BlueTeam Con, and serves on the review board for DevSec Con. She is currently an Application Security Advocate for London-based Snyk Ltd.
As a result of explosive advancements in the capabilities of neural networks, deep fake media has become increasingly convincing and easy to produce. Experts have warned of the impact this could have on elections and personal security. Additionally, deep fakes also pose very real threats to businesses and global markets, although these threats receive far less attention.
Hacker and security advocate, Alyssa Miller, will take you inside technology that can be used to create deep fake media. Using examples from her own work creating deep fakes, she’ll demonstrate the process for how deep learning generative adversarial networks (GANs) are used to produce this artificial media. She will also reveal some of the limitations and describe how researchers are exploiting those limitations to successfully detect fake media and potentially even limit the ability to create it in the first place. In addition to technical countermeasures, Alyssa will also explore the human element and strategies for reducing the impact of this kind of media.
As she concludes, Alyssa will offer up a hopeful viewpoint of the good that can be accomplished using deep fake technology. She’ll discuss its application in the entertainment industry, improved analysis of medical imaging, and even how researchers are using GANs in malware identification. Attendees will leave with a much greater understanding of both the technical implementations of this deep learning technology as well as societal implications of this emerging threat. The talk abstract goes here