Charles Herring 17 September 2024
Building Models

Talk given at Techno Security & Digital Forensics Conference 2024 .

 

 

Abstract:

While believability of an AI (Turing test) is important in many applications, the need for forensic truth is paramount in cybersecurity application. In this session, we will evaluate methods for training and tuning models that meet requirements of evidence handling, business analysis and legal and martial response. Data verification, sanitization, and vectorization will be reviewed in this session. Research for preventing AI "hallucinations"and treating data as evidence in inferences will also be covered.

References:

- ArtiFish

- f15hb0wn/ArtiFish: Toolkit for genai in cybersecurity (github.com)

- witfoo (WitFoo) (huggingface.co)

Attachment
The presentation delivered (2.81 MB)

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