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2 changes: 1 addition & 1 deletion README.md
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# NAACL 2024 Tutorial: Vulnerabilities of Large Language Models to Adversarial Attacks
# ACL 2024 Tutorial: Vulnerabilities of Large Language Models to Adversarial Attacks

The code is adapted from the [Nerfies website](https://nerfies.github.io) and https://github.com/ACL2023-Retrieval-LM/ACL2023-Retrieval-LM.github.io.

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4 changes: 2 additions & 2 deletions index.html
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<head>
<meta charset="utf-8">
<meta name="description"
content="Deformable Neural Radiance Fields creates free-viewpoint portraits (nerfies) from casually captured videos.">
<meta name="keywords" content="Nerfies, D-NeRF, NeRF">
content="Adversarial attacks are carefully-crafted inputs that incite unexpected and often malicious outputs from Large Language Models.">
<meta name="keywords" content="LLM, AI Security, Adversarial Attacks"
<meta name="viewport" content="width=device-width, initial-scale=1">
<title>ACL 2024 Tutorial: Vulnerabilities of Large Language Models to Adversarial Attacks </title>

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