Welcome to TFM Discussions!

[Chesqoo]

👋 Welcome to the Discussion Board!

We’re using Discussions as a collaborative space for anyone interested in contributing to the data poisoning research explored in my Master's Thesis. Whether you're here to share ideas, provide feedback, or ask questions, you’re in the right place! We encourage everyone to:

• 💡 Ask questions you’re curious about, whether it's related to the code, methods, or theories behind data poisoning in LLMs.
• 🧠 Share your insights or ideas for expanding upon the work. Did you find something interesting or new that can help improve the research?
• 🔧 Contribute improvements! If you've run the experiments, made optimizations, or used the code for your own projects, let us know how it went!
• 🤝 Engage with other members. Collaboration is key to advancing our understanding in this field.

Remember, this is a community space for learning, sharing, and growing. Please keep discussions respectful and open-minded. Whether you're new to data poisoning research or an experienced researcher, your input is valuable.

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How You Can Contribute:

• 📜 Questions: Got a question about the experiments, datasets, or methodology? Feel free to ask!
• 🚀 Ideas: Do you have ideas for improving the code or exploring new attack vectors? Share them here!
• 📊 Results: If you've conducted your own experiments using my code, please share your results—whether they align with or challenge my findings.
• ✍️ Suggestions: Are there things you’d like to see explained in more detail in the thesis? Let me know how I can clarify or expand upon the work.

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Introduce Yourself

Let’s get started by introducing ourselves! Comment below with:

• Who you are, and what brings you to this community.
• What part of this research interests you the most.
• Any ideas or questions you have right off the bat!

Looking forward to collaborating with all of you to further this research! 🚀