Session

The Current State of AI Generated Text Detection

New articles are being released frequently discussing enhancements in language models. Models like GPT2 and BERT are able to mimic human text where even humans have a hard time distinguishing that the text was generated by a machine. As these models continue to improve, the ability for them to be used in a malicious way is increasing. Bad actors could use these models to automate phishing emails, impersonate a celebrity on twitter, or spread fake news. It is important that security researchers look to develop methods to detect machine generated text as a defense against these use cases. GROVER and GLTR are two state of the art frameworks in machine generated text detection. McAfee is working to utilize these frameworks as a way to detect machine generated text.

Biography

Latest news

The positive development of a privacy preserv...

Since the beginning of the year, we have watched COVID-19 cases fluctuate around the world, turning ...

How AI can learn to win the cybersecurity “game”

Cybersecurity is an incredibly serious business. So thinking of it as a game may seem a little odd. ...

Global audience makes first virtual CyberSec&...

The first virtual edition of CyberSec&AI Connected took place on October 8th. Building on 2019...

CyberSec&AI Connected is here!

After a year of planning and preparation, CyberSec&AI Connected has arrived. Today sees delegate...