Poster Presentation
STEM, Research, The University of Hong Kong, Leadership & Research Laidlaw Scholars, Laidlaw Conference 2025

Fuzzing with Hopper++: Applying LLM to Program Generation and Software Security

The focus of this research is to leverage the power of Generative AI and apply Large Language Model to fuzz testing. Based on the previous interpretative fuzzing project Hopper, this work introduces Hopper++, an enhanced version that incorporates an LLM module to automate fuzzing.
Go to the profile of Wang Hanyu
Wang Hanyu
student, The University of Hong Kong
Like
Go to the profile of Audrey Chung

Share this post

Choose a social network to share with, or copy the URL to share elsewhere

Share with...

This is a representation of how your post may appear on social media. The actual post will vary between social networks

Research Poster

Go to the profile of Wang Hanyu
Wang Hanyu (She/Her)
student, The University of Hong Kong

Please sign in

If you are a registered user on Laidlaw Scholars Network, please sign in

Sign In

Cookies

We and selected partners, use cookies or similar technologies as specified in the cookie policy and privacy policy.

You can consent to the use of such technologies by closing this notice.

Cookie Control

Customise your preferences for any tracking technology

The following allows you to customize your consent preferences for any tracking technology used to help us achieve the features and activities described below. To learn more about how these trackers help us and how they work, refer to the cookie policy. You may review and change your preferences at any time.

See the full cookie policy See the full privacy policy
More information

These trackers are used for activities that are strictly necessary to operate or deliver the service you requested from us and, therefore, do not require you to consent.

More information

These trackers help us to deliver personalized marketing content and to operate, serve and track ads.

More information

These trackers help us to deliver personalized marketing content to you based on your behaviour and to operate, serve and track social advertising.

More information

These trackers help us to measure traffic and analyze your behaviour with the goal of improving our service.

More information

These trackers help us to provide a personalized user experience by improving the quality of your preference management options, and by enabling the interaction with external networks and platforms.