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malicious_url_detection [2025/06/25 10:39]
60.168.209.12 old revision restored (2025/06/17 14:23)
malicious_url_detection [2025/06/25 10:42] (current)
60.168.209.12 old revision restored (2025/06/17 00:33)
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 ====== Introduction ====== ====== Introduction ======
-  * Member : 蔡昀達, 廖其忻, 尹聖翔+  * Member : 蔡昀達, 廖其忻
   * Meeting :    * Meeting : 
  
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 - (黑名單太少,參考用)https://otx.alienvault.com/ - (黑名單太少,參考用)https://otx.alienvault.com/
- 
  
 ======  Meeting ====== ======  Meeting ======
  
-===== 10/15 ===== + 
-{{:1015.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]]| |
  
  
-===== 10/08 ===== 
-{{:1008.pptx|}} 
  
-===== 10/01 ===== 
-{{:1001.pptx|}} 
  
-===== 09/24 ===== 
-{{:0924.pptx|}} 
  
 ===== 09/16 ===== ===== 09/16 =====
malicious_url_detection.1750819189.txt.gz · Last modified: 2025/06/25 10:39 by 60.168.209.12