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+# Transforming Digital Forensics with Large Language Models
+
+<img src="https://upload.wikimedia.org/wikipedia/commons/3/3c/BJA_Logo.png" width="150"> <img src="https://www.nsf.gov/news/mmg/media/images/bitmaplogo_nolayers_f_e50fcd0b-607b-4271-a808-914d9c2f65dc.png" width="110">
+
+## Overview
+
+In the pursuit of justice and accountability in the digital age, the integration of Large Language Models (LLMs) with digital forensics holds immense promise. This three-hour tutorial provides a comprehensive exploration of the transformative potential of LLMs in automating digital investigations and uncovering hidden insights. Through a combination of real-world case studies, interactive exercises, and hands-on labs, participants will gain a deep understanding of how to harness LLMs for evidence analysis, entity identification, and knowledge graph reconstruction. By fostering a collaborative learning environment, this tutorial aims to empower professionals, researchers, and students with the skills and knowledge needed to drive innovation in digital forensics. As LLMs continue to revolutionize the field, this tutorial will have far-reaching implications for enhancing justice outcomes, promoting accountability, and shaping the future of digital investigations.
+
+---
+
+## Date and Location
+
+- Monday October 21, 2024
+- ACM International Conference on Information and Knowledge Management (CIKM), Boise, USA, 2024
+
+---
+
+## Speaking
+
+- Eric Xu, University of Maryland, College Park, Email: exu17288 at terpmail.umd.edu
+- Wenbin Zhang, Ph.D., Assistant Professor in AI, Florida International University, Email: wenbin.zhang at fiu.edu
+- Weifeng Xu, Ph.D., Professor in Cyber Forensics, University of Baltimore, Email: wxu at ubalt.edu
+
+---
+
+## Table of Contents
+
+- Introduction
+- Forensics evidence entity recognition
+- Profiling based on browser history
+- Insight analysis based on Email
+- Evidence knowledge reconstruction
+- Challenges and Limitations of Leveraging LLM in Digital Forensics
+- Conclusion
+
+---
+
+Please cite our [paper](/papers/compsac2022.pdf):
+
+Eric Xu, Wenbin Zhang, and Weifeng Xu, "Transforming Digital Forensics with Large Language Models: Unlocking Automation, Insights, and Justice," in <em>Proceedings of the ACM International Conference on Information and Knowledge Management (CIKM), Boise, USA, 2024</em>