Elie Bursztein

We analyze over 1.2 billion email-based phishing and malware attacks against Gmail users to understand which factors place a person at heightened risk of being targeted.

In this UX research we identify the key cybersecurity challenges faced by political campaigns as they face increasing threats from well-funded, sophisticated attackers, especially nation-states.

Retrospective of my attempt to make people smile during the COVID pandemic by performing magic tricks online for 32 weeks in a row.

Learn how to perform a deep-learning side-channels attack using TensorFlow to recover AES cryptographic keys from a hardware device power traces, step by step.

Learn the concepts behind deep-learning side-channels attack, a powerful cryptanalysis technique, by using it to recover AES cryptographic keys from a hardware device.

This talk provides an overview of how accounts get compromised and the defenses we found effective at Google to reduce accounts hijacking risks.

We present Spotlight, a large-scale malware lead-generation framework that uses deep-learning to clusters malware famillies to isolate potentially-undiscovered ones and prioritizes them for further investigation

This talk showcases SCALD, our tool that leverages deep-learning explainability and dynamic execution to automatically find which parts of a crypto-hardware implementation is responsible for leaking the information exploited by side-channel attacks

This talk provides a comprehensive analysis of the malicious documents that target users and corporate inboxes, an in-depth analysis of the latest evasion tactics used by attackers and what Google is doing about it.