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Younghoo Lee

Principal Data Scientist
AI LLM Machine Learning Malware spam

Younghoo is a Principal Data Scientist at Sophos AI. He is dedicated to researching and developing machine learning models to detect malicious emails, binaries, and categorize web content. He also employs Large Language Models (LLMs) to improve automation within Security Operations. He has shared his insights on ML topics at Black Hat, RSA and Virus Bulletin. Prior to joining Sophos, he contributed to malware classification systems at Symantec and worked on mobile software platforms at Samsung Electronics. Outside of his work, Younghoo delights in discovering bushwalking trails around Sydney.

@younghoo_au
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Blog Posts

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December 15, 2022March 21, 2023

GPT-3 and Cybersecurity

Introduction The use of deep neural networks has significantly improved the performance of machine learning in fields such as image […]

Younghoo Lee
Konstantin Berlin
December 15, 2022March 21, 2023

A Natural Language Query Interface for XDR/SQL

Introduction Many organizations are transitioning their security management to the cloud, where it is much easier to collect and access […]

Younghoo Lee
Konstantin Berlin
December 21, 2020March 21, 2023

How SophosAI Stops BEC gift card scams

Gift cards are a favorite way for scammers to squeeze money out of their victims. Unlike wire or bank transfers, […]

Younghoo Lee
Richard Harang

Presentations

View all of Younghoo’s presentations
August 10, 2022August 28, 2023

Black Hat 2022: GPT-3 and Me: How Supercomputer-scale Neural Network Models Apply to Defensive Cybersecurity Problems

Joshua Saxe
Younghoo Lee
August 9, 2022December 5, 2022

BSides LV 2022: GPT-3 and Me: How Supercomputer-Scale Neural Network Models Apply to Defensive Cybersecurity Problems

Joshua Saxe
Younghoo Lee
August 24, 2021August 24, 2021

AI vs AI: Creating Novel Spam and Catching it with Text Generating AI

GPT is a powerful text generation model, but its text generation is unconstrained. This session will discuss how to control GPT to produce sentences which meet specific style or content requirements. The session will review approaches that allow attendees to drive GTP to write SPAM and HAM messages and will demonstrate how to convert GPT into a SPAM filter which detects the generated SPAM.

Younghoo Lee

Publications

View all of Younghoo’s publications
August 24, 2021

CatBERT: Context-Aware Tiny BERT for Detecting Targeted Social Engineering Emails

Targeted phishing emails are a major cyber threat on the Internet today and are insufficiently addressed by current defenses. In this paper, we leverage industrial-scale datasets from Sophos cloud email security service, which defends tens of millions of customer mailboxes, to propose a novel Transformer-based architecture for detecting targeted phishing emails. Our model leverages both natural language and email header inputs, is more computationally efficient than competing transformer approaches, and we show that it is less prone to adversarial attacks which deliberately replace keywords with typos or synonyms.

Younghoo Lee
Joshua Saxe
Richard Harang
May 22, 2020May 22, 2020

SeqDroid: Obfuscated Android Malware Detection Using Stacked Convolutional and Recurrent Neural Networks

Richard Harang
Younghoo Lee
Joshua Saxe
Sophos AI - Smarter Security
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