Alyssa is a hacker/researcher, security evangelist, and security professional. With over two decades of experience in IT, first as a programmer and then as a penetration tester and security consultant, Alyssa has earned a reputation for being able to credibly operate on both sides of the fence between technical experts and high-level business executives. A naturally curious lover of technology, Alyssa has always had a passion for deconstructing technology to learn how it functions and improve upon it. Computers, in particular, have fascinated her since she was in pre-school when her father would bring home a computer from work. At the age of 12 she saved up enough money to buy her first computer on which she taught herself BASIC programming, operating systems and even asynchronous communications protocols. Still it wasn’t until after three semesters of pre-med studies at Marquette University that Alyssa finally found her career calling and switched to the Computer Science program.
Alyssa’s professional track record includes leading the security testing and vulnerability management program for a Fortune 500 Financial Technologies firm, leading security consulting practices for multiple highly respected firms, and most recently as the Application Security Advocate for London-based Snyk Ltd. Alyssa speaks internationally at industry, vendor, and leadership conferences on topics ranging from technical security vulnerabilities, to high-level security program strategies, to issues within the security community itself. She is a member of the Board of Directors for Women of Security (WoSEC) and engages with the community through her blogs, video content, podcast appearances, and social media presence.
As a result of continuing advancements in 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, deepfakes also pose very real threats to businesses and global markets, although these threats receive far less attention. Hacker and Security evangelist Alyssa Miller will analyze the technology behind creating deep fake media, showing how Generative Adversarial Networks (GAN) create convincing fake videos and audio from very limited samples. She will examine research into both low-tech and AI/ML based detection methods and counter measures, including leveraging the same neural network approaches being used to create deep fakes to help detect them. She’ll continue by discussing the theory and research behind
countermeasures such as Adversarial Perturbations and show how they can defeat facial recognition algorithms that deepfake generation relies on. Finally, Alyssa will present methods being developed to help certify the authenticity of real media.
As she concludes, Alyssa will offer up a hopeful viewpoint of the good that can be accomplished through the use of deepfake technology. From its use in entertainment, to improved analysis of medical imaging and even how GANs are being leveraged in malware identification.