The most striking result came from a made-up assistant the team called Project Note Keeper, built with the ChatterUI Android app. The researchers fed it 100 invented facts about a project, then deleted the whole conversation.
By the time of deletion, the live session could only reach 14 of those facts. Every AI model has a limited memory window, so older parts of a long chat drop out of view. Yet when the team asked ORISA’s restored assistant to list the project notes, it came back with 26.
So the recovered version knew more than the original chatbot could still see before it was deleted. Information the AI had effectively forgotten was still sitting in memory, waiting to be found.
The results weren’t a one-off. Across 60 test configurations, spanning 10 Android apps and three AI models, ORISA found and recovered leftover conversation data. The work was presented at the 2026 IEEE Symposium on Security and Privacy, one of the field’s top academic conferences.
The project came out of Georgia Tech’s Cyber Forensics Innovation Laboratory, which is run jointly by the university’s cybersecurity and electrical engineering schools. Associate professor Brendan Saltaformaggio and research scientist Muhammad Ibrahim worked on it alongside four PhD students. Their focus is the growing group of apps that let people run a chatbot entirely offline, often precisely because users think it keeps their words off company servers.