Artwork

Content provided by Mackenzie Jackson & Dwayne McDaniel, Mackenzie Jackson, and Dwayne McDaniel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mackenzie Jackson & Dwayne McDaniel, Mackenzie Jackson, and Dwayne McDaniel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

Visualizing Data Poisoning and Rethinking Threat Detection Through Graphs – Maria Khodak

21:05
 
Share
 

Manage episode 482776522 series 3516169
Content provided by Mackenzie Jackson & Dwayne McDaniel, Mackenzie Jackson, and Dwayne McDaniel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mackenzie Jackson & Dwayne McDaniel, Mackenzie Jackson, and Dwayne McDaniel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of the Security Repo Podcast, Maria Khodak explores how graph theory and data visualization can be used to uncover machine learning vulnerabilities like data poisoning. She explains how her work as a penetration tester intersects with research on threat detection and the importance of making abstract security concepts more human-readable. The conversation also covers her journey into cybersecurity, the value of visualization tools like Gephi, and her call to make the field more inclusive and curious-driven.Maria Khodak is a security engineer and penetration tester at a large company focusing on web application, API, and network testing. She also researches machine learning vulnerabilities, threat detection, and graph theory in her free time. https://www.linkedin.com/in/maria-khodak-10b26a192/https://gephi.org/

  continue reading

93 episodes

Artwork
iconShare
 
Manage episode 482776522 series 3516169
Content provided by Mackenzie Jackson & Dwayne McDaniel, Mackenzie Jackson, and Dwayne McDaniel. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Mackenzie Jackson & Dwayne McDaniel, Mackenzie Jackson, and Dwayne McDaniel or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of the Security Repo Podcast, Maria Khodak explores how graph theory and data visualization can be used to uncover machine learning vulnerabilities like data poisoning. She explains how her work as a penetration tester intersects with research on threat detection and the importance of making abstract security concepts more human-readable. The conversation also covers her journey into cybersecurity, the value of visualization tools like Gephi, and her call to make the field more inclusive and curious-driven.Maria Khodak is a security engineer and penetration tester at a large company focusing on web application, API, and network testing. She also researches machine learning vulnerabilities, threat detection, and graph theory in her free time. https://www.linkedin.com/in/maria-khodak-10b26a192/https://gephi.org/

  continue reading

93 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide

Listen to this show while you explore
Play