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--- a/README.md
+++ b/README.md
@@ -1,4 +1,4 @@
-# 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.
 
diff --git a/index.html b/index.html
index 2d0551a..e90d14b 100644
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+++ b/index.html
@@ -3,8 +3,8 @@
 <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>
 
