Y-DATA Meetup #10
ML in Cybersecurity: two sides of a coin
Hosted by Checkmarx
Talks are in English
Our 10th meetup is all about cyber and ML. ML is used in this domain by wide range of players for various goals. Join us to get different perspectives into the field and get an overview of the impact that AI makes on the security space.
Cybersecurity is not just another big domain where ML algorithms help with automation and connect dots between traits and actionable insights, but it is also a layer or dimension inside many other domains. Think about Healthcare or FinTech - fields renowned for large volumes of very sensitive data with strict access policies. How can ML leverage all this potential for good without exposing anything? How data can be shared and used for training and prediction without the ability to extract and perform inference on single instances. Our second talk is about the quickly developing sub-field in ML called privacy preserving machine learning, which deals exactly with these questions.
More info about Y-DATA is here: bit.ly/ydata-website
Previous meetups videos are here: bit.ly/youtube-ydata
18:00 - 18:30 Registration, Mingling, Snacks & Beer
18:30 - 19:15 Talk 1: “AI Gone Bad” - Maty Siman, CTO and Founder of Checkmarx
19:15 - 19:30 Break
19:30 - 20:15 “Privacy Preserving Machine Learning” - Ran Gilad-Bachrach, Professor at the Bio-Medical Engineering department (TAU)
AI Gone Bad
Artificial Intelligence (AI) software is everywhere being leveraged by many industries such as healthcare, fintech, and e-commerce. But how does AI impact the security space? Join Maty Siman, Checkmarx Founder and CTO, to get both a white hat and black hat perspective to AI and security. We will see how genetic algorithms can be used to mute malware, and improve code scanning capabilities. How ML can be used for scalable whaling, and application security.
Maty Siman is a technology expert, active in the IT industry for over 20 years with experience in software development, IT security and source code analysis. Prior to founding Checkmarx, Siman worked at the Israeli Prime Minister’s Office as a Senior IT Security Expert and Project Manager. Siman regularly speaks at IT security conferences and holds the highly regarded CISSP certification since 2003.
Privacy Preserving Machine Learning
In domains such as health, finance and education it is sometimes hard to apply machine learning due to the sensitivity of the data which makes it hard to gain access to it. This situation is especially severe in cases in which data are split between multiple parties and collaboration is needed. In this talk we will show how cryptographic protocols can be fused with machine learning algorithms such that privacy can be guaranteed.
Ran Gilad-Bachrach is a professor at the Bio-Medical Engineering department in Tel-Aviv University. Ran earned his Ph.D. from the Hebrew University of Jerusalem and was a machine learning research team leader at Intel and a principal researcher at Microsoft Research. His research focuses on machine learning and its applications in promoting better mental and physical health.