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--- malicious_url_detection [2025/06/25 10:39]
60.168.209.12 old revision restored (2025/06/18 02:08)
+++ malicious_url_detection [2025/06/25 10:42] (current)
60.168.209.12 old revision restored (2025/06/17 00:33)
@@ Line 1: / Line 1: @@
 ====== Introduction ======
-  * Member : 蔡昀達, 廖其忻, 尹聖翔
+  * Member : 蔡昀達, 廖其忻
   * Meeting :
@@ Line 78: / Line 78: @@
-{{:0924.pptx|}}
+===== 09/23 progress =====
+  - tfidf results
+    - accuracy : 98.3%
+  - model explain mechanism
+    - implemented : highlight  trigger pattern
+    - results1 (tree interpreter):
+    {{:dada.1.png}}
+    - results2 (lime interpreter):
+    {{:dada.2.png}}
+^Year^Venue^Title^Link^Assign^
+|2016|ACM|LIME:Why should i trust you?: Explaining the predictions of any classifier|[[https://www.kdd.org/kdd2016/papers/files/rfp0573-ribeiroA.pdf|PDF]]| |
+|2014|KAIS|Shapley sampling values:Explaining prediction models and individual predictions with feature contributions|[[|PDF]]| |
+|2017|arxiv|DeepLIFT:Learning important features through propagating activation differences|[[|PDF]]| |
+|2016|IEEE SP|QII:Algorithmic transparency via quantitative input influence: Theory and experiments with learning systems|[[|PDF]]| |
+|2015|PLoS ONE|Layer-wise relevance propagation:On pixel-wise explanations for non-linear classifier decisions by layer-wise relevance propagation|[[|PDF]]| |
+|2010|PLoS ONE|Shapley regression values:Analysis of regression in game theory approach|[[|PDF]]| |
 ===== 09/16 =====

mslab

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