add papers and test?

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diff --git a/README.md b/README.md
diff --git a/SUMMARY.md b/SUMMARY.md
@@ -23,24 +23,51 @@
 
 ## Image Forgery
 
-* [ObjectFormer](image-forgery/objectformer.md)
-* [TransForensics](image-forgery/transforensics.md)
-* [GSRNet](image-forgery/gsrnet.md)
-* [PSCC-Net](image-forgery/pscc-net.md)
-* [SATFL](image-forgery/satfl.md)
-* [HLED](image-forgery/hled.md)
-* [ReLoC](image-forgery/reloc.md)
-* [TBFormer](image-forgery/tbformer.md)
-* [HIFI_IFDL](image-forgery/hifi_ifdl.md)
-* [$DGM^4$](image-forgery/dgm4.md)
-* [TruFor](image-forgery/trufor.md)
-* [CFL-Net](image-forgery/cfl-net.md)
-* [ERMPC](image-forgery/ermpc.md)
-* [TBANet](image-forgery/tbanet.md)
-* [MSFF-AES](image-forgery/msff.md)
-* [CA-IFL](image-forgery/caifl.md)
-* [IF-OSN](image-forgery/ifosn.md)
-* [CAT-Net v2](image-forgery/catnetv2.md)
+<details open><summary>2023</summary>
+<p>
+
+* [HIFI_IFDL](image-forgery/2023/hifi_ifdl.md)
+* [ReLoC](image-forgery/2023/reloc.md)
+* [TBFormer](image-forgery/2023/tbformer.md)
+* [$DGM^4$](image-forgery/2023/dgm4.md)
+* [TruFor](image-forgery/2023/trufor.md)
+* [CFL-Net](image-forgery/2023/cfl-net.md)
+* [ERMPC](image-forgery/2023/ermpc.md)
+
+</p>
+</details>
+
+<details open><summary>2022</summary>
+<p>
+
+* [ObjectFormer](image-forgery/2022/objectformer.md)
+* [IF-OSN](image-forgery/2022/ifosn.md)
+* [PSCC-Net](image-forgery/2022/pscc-net.md)
+* [SATFL](image-forgery/2022/satfl.md)
+* [TBANet](image-forgery/2022/tbanet.md)
+* [MSFF-AES](image-forgery/2022/msff.md)
+* [CA-IFL](image-forgery/2022/caifl.md)
+* [CAT-Net v2](image-forgery/2022/catnetv2.md)
+
+</p>
+</details>
+
+<details><summary>2021</summary>
+<p>
+
+* [TransForensics](image-forgery/2021/transforensics.md)
+
+</p>
+</details>
+
+<details><summary>2020 and before</summary>
+<p>
+
+* [HLED](image-forgery/2019/hled.md)
+* [GSRNet](image-forgery/2020/gsrnet.md)
+
+</p>
+</details>
 
 ## Image Splicing
 

diff --git a/image-forgery/hled.md → image-forgery/2019/hled.md b/image-forgery/hled.md → image-forgery/2019/hled.md
@@ -16,4 +16,4 @@ description: Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image
 
 ### GitHub
 
-[https://github.com/jawadbappy/forgery\_localization\_HLED](https://github.com/jawadbappy/forgery\_localization\_HLED)
+<https://github.com/jawadbappy/forgery\_localization\_HLED>
diff --git a/image-forgery/gsrnet.md → image-forgery/2020/gsrnet.md b/image-forgery/gsrnet.md → image-forgery/2020/gsrnet.md
@@ -6,7 +6,7 @@ description: 'Generate, Segment, and Refine: Towards Generic Manipulation Segmen
 
 <figure><img src="https://s2.loli.net/2022/11/23/NsCykaTFq17u2DI.png" alt=""><figcaption></figcaption></figure>
 
-> Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, and Larry Davis. 2020. Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. Proc Aaai Conf Artif Intell 34, 07 (2020), 13058–13065. DOI:[https://doi.org/10.1609/aaai.v34i07.7007](https://doi.org/10.1609/aaai.v34i07.7007)
+> Peng Zhou, Bor-Chun Chen, Xintong Han, Mahyar Najibi, Abhinav Shrivastava, Ser-Nam Lim, and Larry Davis. 2020. Generate, Segment, and Refine: Towards Generic Manipulation Segmentation. Proc Aaai Conf Artif Intell 34, 07 (2020), 13058–13065. DOI:<https://doi.org/10.1609/aaai.v34i07.7007>
 
 ## 概述
 
@@ -62,4 +62,4 @@ $$
 
 ## GitHub
 
-TensorFlow: [https://github.com/pengzhou1108/GSRNet](https://github.com/pengzhou1108/GSRNet)
+TensorFlow: <https://github.com/pengzhou1108/GSRNet>
diff --git a/image-forgery/transforensics.md → image-forgery/2021/transforensics.md b/image-forgery/transforensics.md → image-forgery/2021/transforensics.md
@@ -4,4 +4,4 @@ description: 'TransForensics: Image Forgery Localization with Dense Self-Attenti
 
 # TransForensics
 
-> Jing Hao, Zhixin Zhang, Shicai Yang, Di Xie, and Shiliang Pu. 2021. TransForensics: Image Forgery Localization with Dense Self-Attention. _2021 Ieee Cvf Int Conf Comput Vis Iccv_ 00, (2021), 15035–15044. DOI:https://doi.org/10.1109/iccv48922.2021.01478
+> Jing Hao, Zhixin Zhang, Shicai Yang, Di Xie, and Shiliang Pu. 2021. TransForensics: Image Forgery Localization with Dense Self-Attention. _2021 Ieee Cvf Int Conf Comput Vis Iccv_ 00, (2021), 15035–15044. DOI:<https://doi.org/10.1109/iccv48922.2021.01478>
diff --git a/image-forgery/caifl.md → image-forgery/2022/caifl.md b/image-forgery/caifl.md → image-forgery/2022/caifl.md
diff --git a/image-forgery/catnetv2.md → image-forgery/2022/catnetv2.md b/image-forgery/catnetv2.md → image-forgery/2022/catnetv2.md
diff --git a/image-forgery/ifosn.md → image-forgery/2022/ifosn.md b/image-forgery/ifosn.md → image-forgery/2022/ifosn.md
diff --git a/image-forgery/msff.md → image-forgery/2022/msff.md b/image-forgery/msff.md → image-forgery/2022/msff.md
diff --git a/image-forgery/objectformer.md → image-forgery/2022/objectformer.md b/image-forgery/objectformer.md → image-forgery/2022/objectformer.md
diff --git a/image-forgery/pscc-net.md → image-forgery/2022/pscc-net.md b/image-forgery/pscc-net.md → image-forgery/2022/pscc-net.md
diff --git a/image-forgery/satfl.md → image-forgery/2022/satfl.md b/image-forgery/satfl.md → image-forgery/2022/satfl.md
diff --git a/image-forgery/tbanet.md → image-forgery/2022/tbanet.md b/image-forgery/tbanet.md → image-forgery/2022/tbanet.md
diff --git a/image-forgery/cfl-net.md → image-forgery/2023/cfl-net.md b/image-forgery/cfl-net.md → image-forgery/2023/cfl-net.md
diff --git a/image-forgery/dgm4.md → image-forgery/2023/dgm4.md b/image-forgery/dgm4.md → image-forgery/2023/dgm4.md
diff --git a/image-forgery/ermpc.md → image-forgery/2023/ermpc.md b/image-forgery/ermpc.md → image-forgery/2023/ermpc.md
diff --git a/image-forgery/hifi_ifdl.md → image-forgery/2023/hifi_ifdl.md b/image-forgery/hifi_ifdl.md → image-forgery/2023/hifi_ifdl.md
diff --git a/image-forgery/reloc.md → image-forgery/2023/reloc.md b/image-forgery/reloc.md → image-forgery/2023/reloc.md
diff --git a/image-forgery/2023/spam_analysis.md b/image-forgery/2023/spam_analysis.md
@@ -0,0 +1,7 @@
+# Analysis of 1.5C for SPAM
+
+![image-20231024143840792](https://s2.loli.net/2023/10/24/ucV6Y79JoG5SLzW.png)
+
+> Lorch, B., Schirrmacher, F., Maier, A., & Riess, C. (2023). On the Security of the One-and-a-Half-Class Classifier for SPAM Feature-Based Image Forensics. In IEEE Transactions on Information Forensics and Security (Vol. 18, pp. 2466–2479). https://doi.org/10.1109/TIFS.2023.3266168
+
+文章主要是对基于SPAM特征的 1.5C 分类器的安全性进行分析，作者提出了一种针对 SPAM 特征的白盒攻击，来进一步增强基于 SPAM 特征的图像篡改检测器的鲁棒性。
diff --git a/image-forgery/tbformer.md → image-forgery/2023/tbformer.md b/image-forgery/tbformer.md → image-forgery/2023/tbformer.md
diff --git a/image-forgery/trufor.md → image-forgery/2023/trufor.md b/image-forgery/trufor.md → image-forgery/2023/trufor.md
diff --git a/related/howtodoresearch.md b/related/howtodoresearch.md
@@ -1,6 +1,6 @@
 1. [Learning Research](https://github.com/pengsida/learning_research)
 
-   **The following content from https://github.com/pengsida/learning_research.**
+   **The following content from <https://github.com/pengsida/learning_research>.**
 
    1. [怎么练习写论文](https://pengsida.notion.site/c13c7e52aab64c1a8e3576b97fcb9851)
    2. [论文写作模板](https://pengsida.notion.site/c1a22465a0fa4b15a12985223916048e)

diff --git a/related/nice-expressions.md b/related/nice-expressions.md
@@ -6,19 +6,19 @@ description: 单词 短语 句子
 
 ### 单词
 
-| Words    | Meaning  | Example                                            |
-| -------- | -------- | -------------------------------------------------- |
-| serrated | 锯齿状的 | the serrated edges caused by the irregular borders |
-|          |          |                                                    |
-|          |          |                                                    |
+| Words           | Meaning  | Example                                            |
+| --------------- | -------- | -------------------------------------------------- |
+| serrated        | 锯齿状的 | the serrated edges caused by the irregular borders |
+| attack-agnostic | 攻击无关 |                                                    |
+|                 |          |                                                    |
 
 #### **distill 提取 蒸馏**
 
 distill the differentiated features 提取特征，类似的还有, extract, mine, explore, capture
 
 #### **evade 回避 避开**
 
-evade image forensic system 避开图像取证系统，或者说, defeat, fail
+evade image forensic system 避开图像取证系统，evade detection, evasion attack 或者说, defeat, fail
 
 #### **characterize 描述**
 

diff --git a/related/papersource.md b/related/papersource.md
@@ -2,50 +2,55 @@
 
 ## Papers List Links
 
-1. ICLR 2023 Papers List https://openreview.net/group?id=ICLR.cc/2023/Conference
+1. ICLR 2023 Papers List <https://openreview.net/group?id=ICLR.cc/2023/Conference>
 
-2. CVPR 2023 Accepted Papers https://cvpr2023.thecvf.com/Conferences/2023/AcceptedPapers
+2. CVPR 2023 Accepted Papers <https://cvpr2023.thecvf.com/Conferences/2023/AcceptedPapers>
 
-3. CVPR 2023 Workshops https://openaccess.thecvf.com/CVPR2023_workshops/menu
+3. CVPR 2023 Workshops <https://openaccess.thecvf.com/CVPR2023_workshops/menu>
 
-4. WACV 2023 Papers https://openaccess.thecvf.com/WACV2023
+4. WACV 2023 Papers <https://openaccess.thecvf.com/WACV2023>
 
-5. IJCAI 2023 Accepted Papers List https://ijcai-23.org/main-track-accepted-papers/
+5. IJCAI 2023 Accepted Papers List <https://ijcai-23.org/main-track-accepted-papers/>
 
-6. ECCV 2022 Accepted papers https://eccv2022.ecva.net/program/accepted-papers/
+6. ECCV 2022 Accepted papers <https://eccv2022.ecva.net/program/accepted-papers/>
 
-7. MM 2022 Proceedings https://dl.acm.org/doi/proceedings/10.1145/3503161
+7. MM 2022 Proceedings <https://dl.acm.org/doi/proceedings/10.1145/3503161>
 
-8. SIGGRAPH *unofficial* https://kesen.realtimerendering.com/ eg SIGGRAPH 2023 https://kesen.realtimerendering.com/sig2023.html
+8. SIGGRAPH *unofficial* <https://kesen.realtimerendering.com/> eg SIGGRAPH 2023 <https://kesen.realtimerendering.com/sig2023.html>
 
-9. ICML 2022 https://dblp.org/db/conf/icml/icml2022.html
+9. ICML 2022 <https://dblp.org/db/conf/icml/icml2022.html>
 
-10. AAAI 2022 https://dblp.org/db/conf/aaai/aaai2022.html
+10. AAAI 2022 <https://dblp.org/db/conf/aaai/aaai2022.html>
 
-11. TIFS https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206 OR TIFS 2023 https://dblp.org/db/journals/tifs/tifs18.html
+11. TIFS <https://ieeexplore.ieee.org/xpl/RecentIssue.jsp?punumber=10206> OR TIFS 2023 <https://dblp.org/db/journals/tifs/tifs18.html>
 
 12. **ArXiv RSS**
 
     If you want to use RSS to check the newest Paper from arXiv, you may configure your own feed.
 
-    For example: https://export.arxiv.org/api/query?search_query=cat:cs.CV+AND+abs:splicing+AND+abs:image+AND+abs:localization&start=0&max_results=30&sortBy=submittedDate&sortOrder=descending
+    For example: <https://export.arxiv.org/api/query?search_query=cat:cs.CV+AND+abs:splicing+AND+abs:image+AND+abs:localization&start=0&max_results=30&sortBy=submittedDate&sortOrder=descending>
 
     As you can see, in this link, we specific the `cat` *Subject Category* to `cs.CV`, and we add more constraints like the `abs` *Abstract* with splicing and localization, also, the `sortBy` and `sortOrder`.
 
     > arXiv User Manual
     >
-    > 1. search query: https://info.arxiv.org/help/api/user-manual.html#search_query_and_id_list
-    > 2. Appendices: https://info.arxiv.org/help/api/user-manual.html#5-appendices
-    > 3. Subject: https://arxiv.org/category_taxonomy
-    > 4. sort: https://info.arxiv.org/help/api/user-manual.html#sort
+    > 1. search query: <https://info.arxiv.org/help/api/user-manual.html#search_query_and_id_list>
+    > 2. Appendices: <https://info.arxiv.org/help/api/user-manual.html#5-appendices>
+    > 3. Subject: <https://arxiv.org/category_taxonomy>
+    > 4. sort: <https://info.arxiv.org/help/api/user-manual.html#sort>
 
 13. 
 
 ## Paper Tool Links
 
-1. **Paperlib** to organise academic papers decently. https://paperlib.app/en/
-2. **AmyMind** *伴你思考的AI思维导图* AI mind maps to copilot your thinking https://amymind.com/
-3. **浙江图书馆** ZHEJIANG LIBRARY https://www.zjlib.cn/#searchs_1_div *for oversea students who cannot access [CNKI](https://www.cnki.net/)*
-4. **中国计算机学会推荐国际学术会议和期刊目录** CCF Ranking https://www.ccf.org.cn/Academic_Evaluation/By_category/
-4. **GRIP** Team http://www.grip.unina.it/multimedia-forensics/image-forgery-detection
-4. **MKLab**: https://mklab.iti.gr/
+1. **Paperlib** to organise academic papers decently. <https://paperlib.app/en/>
+2. **AmyMind** *伴你思考的AI思维导图* AI mind maps to copilot your thinking <https://amymind.com/>
+3. **浙江图书馆** ZHEJIANG LIBRARY <https://www.zjlib.cn/#searchs_1_div> *for oversea students who cannot access [CNKI](https://www.cnki.net/)*
+4. **中国计算机学会推荐国际学术会议和期刊目录** CCF Ranking <https://www.ccf.org.cn/Academic_Evaluation/By_category/>
+5. **GRIP** Team <http://www.grip.unina.it/multimedia-forensics/image-forgery-detection>
+6. **MKLab**: <https://mklab.iti.gr/>
+7. **CatalyzeX** Discover AI models & code to catalyze your projects: <https://www.catalyzex.com/>
+8. **Similar papers** Serving last 52110 open papers from top conferences in CV, ML and AI: <https://similarpapers.com/> (2022)
+
+## Archived links
+
Original file line number	Diff line number	Diff line change
Expand Up		@@ -16,4 +16,4 @@ description: Hybrid LSTM and Encoder-Decoder Architecture for Detection of Image

		### GitHub

		[https://github.com/jawadbappy/forgery\_localization\_HLED](https://github.com/jawadbappy/forgery\_localization\_HLED)
		<https://github.com/jawadbappy/forgery\_localization\_HLED>
Original file line number	Diff line number	Diff line change
Expand Up		@@ -4,4 +4,4 @@ description: 'TransForensics: Image Forgery Localization with Dense Self-Attenti

		# TransForensics

		> Jing Hao, Zhixin Zhang, Shicai Yang, Di Xie, and Shiliang Pu. 2021. TransForensics: Image Forgery Localization with Dense Self-Attention. _2021 Ieee Cvf Int Conf Comput Vis Iccv_ 00, (2021), 15035–15044. DOI:https://doi.org/10.1109/iccv48922.2021.01478
		> Jing Hao, Zhixin Zhang, Shicai Yang, Di Xie, and Shiliang Pu. 2021. TransForensics: Image Forgery Localization with Dense Self-Attention. _2021 Ieee Cvf Int Conf Comput Vis Iccv_ 00, (2021), 15035–15044. DOI:<https://doi.org/10.1109/iccv48922.2021.01478>