Project Grant 2231002

Award Date 2/1/23
Completion Date 1/31/26
Dollars Obligated $600K
Federal Grant Program
47.070
Assistance Type
Project Grant
Place of Performance
Blacksburg, VA, USA
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The grant will fund research to systematically characterize threats facing chatbot systems, including those powered by deep neural networks, which are increasingly being deployed at scale without fully understanding vulnerabilities. The project has three thrusts: conducting a measurement study of toxicity injection attacks on widely used chatbot pipelines; developing a novel generative modeling approach to probe for hidden vulnerabilities and detoxify models; and creating an attack-agnostic training pipeline resilient to toxicity injections.

The research aims to measure and mitigate risks to users from unintentionally or maliciously triggered toxic or harmful conversations. It also seeks to raise awareness of issues and provide research opportunities for underrepresented K-12 students. Outcomes will benefit computer science disciplines and industry-academia partnerships in securing dialog systems used in sensitive domains like healthcare, emotional support, and the justice system.

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