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add CKIM2024 link to main readme
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@@ -21,9 +21,9 @@ By fostering a collaborative learning environment, this tutorial aims to empower
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## Speakers
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- Eric Xu, University of Maryland, College Park, Email: exu17288 at terpmail.umd.edu
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- Wenbin Zhang, Ph.D., Assistant Professor in AI, Florida International University, Email: wenbin.zhang at fiu.edu
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- Weifeng Xu, Ph.D., Professor in Cyber Forensics, University of Baltimore, Email: wxu at ubalt.edu
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- Eric Xu, University of Maryland, College Park, Email: exu17288 at terpmail.umd dot edu
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- Wenbin Zhang, Ph.D., Assistant Professor in AI, Florida International University, Email: wenbin.zhang at fiu dot edu
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- Weifeng Xu, Ph.D., Professor in Cyber Forensics, University of Baltimore, Email: wxu at ubalt dot edu
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---
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@@ -52,6 +52,8 @@ Here is an example of a reconstructed digital forensics knowledge graph:
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<img src="PhishingAttack/PhishingAttackScenarioDemo/05_output_viz.png" width="400">
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---
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### Political Insight Analysis Leveraging LLMs
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The case study demonstrates how to Leverage Large Language Models to gain political insight based on an email dataset. The dataset we have used in the case study is a set of leaked [emails](https://github.com/benhamner/hillary-clinton-emails?tab=readme-ov-file) obtained from Hillary Clinton's private email server.
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@@ -82,6 +82,7 @@ or in BibTeX
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- [Email forensics](/STIX_for_digital_forensics/Email_Harassment)
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- [Illegal Possession of Images](/STIX_for_digital_forensics/Illegal_Possession_Images)
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- AI for Forensics
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- Tutorial session on [CKIM2024](https://cikm2024.org/tutorials/). You can access [hands-on lab](AI4Forensics/CKIM2024/readme.md)
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- [Identifying IP Addresses using a Fine-tuned AI Model](/AI4Forensics/IP_Identifier_Fine_Tuning/IP_Identifer_Fine_Tuning.pptx)
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- [Profiling Suspects Leveraging LLMs (Browser History)](/AI4Forensics/CKIM2024/Takeout/browser_analysis.ipynb) [colab](/AI4Forensics/CKIM2024/Takeout/profile_browser_history_colab.ipynb)
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- [Political Insight Analysis Leveraging LLMs (Email)](#political-insight-analysis-leveraging-llms)
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