Elie Bursztein

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.

This blog post distills the key findings of our longitudinal analysis of how Europe’s right to be forgotten (RTBF) is being applied in practice.

We conducted a retrospective measurement study of 3.2 million URLs that were requested for delisting from Google Search over five years.

In this paper, we propose a privacy-preserving protocol whereby a client can query a centralized breach repository to determine whether a specific username and password combination is publicly exposed, but without revealing the information queried.

This talk provides a step-by-step introduction on how to use deep learning to perform AES side-channel attacks.

In this talk we look into Gmail telemetry to illuminate the differences between phishing groups in terms of tactics and targets.

In order to scale CSAI protections moving forward, we discuss techniques for automating detection and response by using recent advancements in machine learning.

For South Asian women, a major hurdle to their meaningful participation online is their ability to ensure their safety. This post illustrates this challenge by recounting the safety and privacy challenges faced by women across India, Pakistan, and Bangladesh, who talked to us about their online experiences.