Chawin Sitawarin

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

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Adversarial Examples on KNN (and its neural network friends)

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Papers and resources related to the security and privacy of LLMs 🤖

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Code for a research paper "Part-Based Models Improve Adversarial Robustness" (ICLR 2023)

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PAL: Proxy-Guided Black-Box Attack on Large Language Models

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