updated links for the new repo
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This personal research explores abuses and vulnerabilities in AI models, with a focus on backdoor attacks in Large Language Models (LLMs) and related systems.
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This personal research explores abuses and vulnerabilities in AI models, with a focus on backdoor attacks in Large Language Models (LLMs) and related systems.
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The main content is the Jupyter Notebook [Abuses and Vulnerabilities in AI Models.ipynb](Abuses_and_Vulnerabilities_in_AI_Models.ipynb), which provides:
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The main content is the Jupyter Notebook [Abuses and Vulnerabilities in AI Models.ipynb](./docs/Abuses_and_Vulnerabilities_in_AI_Models.ipynb), which provides:
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* An overview of backdoor attacks during training and inference.
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* An overview of backdoor attacks during training and inference.
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* Discussion of prompt injection and other vulnerabilities.
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* Discussion of prompt injection and other vulnerabilities.
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* References to relevant research papers.
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* References to relevant research papers.
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* A summary of the CVSS (Common Vulnerability Scoring System) for evaluating the severity of vulnerabilities.
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* A summary of the CVSS (Common Vulnerability Scoring System) for evaluating the severity of vulnerabilities.
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See the notebook for a detailed exploration of these topics. Or get pdf version [Abuses and Vulnerabilities in AI Models.pdf](Abuses_and_Vulnerabilities_in_AI_Models_Backdoors_in_LLMs_and_Beyond.pdf) is also available.
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See the notebook for a detailed exploration of these topics. Or get pdf version [Abuses and Vulnerabilities in AI Models.pdf](./docs/Abuses_and_Vulnerabilities_in_AI_Models.pdf) is also available.
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## Slides
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## Slides
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A presentation summarizing the research is available at the following link: [AI Model Vulnerabilities: Backdoors in LLMs and Beyond](https://example.com/slides)
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A presentation summarizing the research is available at the following link: [AI Model Vulnerabilities: Backdoors in LLMs and Beyond](https://abuses-and-vulnerabilities-in-ai-models-569cfd.gitlab.io/)
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To deploy locally, using pnpm and slidev, run the following commands:
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To deploy locally, using pnpm and slidev, run the following commands:
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