docs: update resources (#780)

docs/tutorials/showcase.md

@@ -9,14 +9,16 @@
 
 ### Live demos on Hugging Face:
 
+- [Encrypted anonymization](https://huggingface.co/spaces/zama-fhe/encrypted-anonymization): Encrypted anonymization uses Fully Homomorphic Encryption (FHE) to anonymize personally identifiable information (PII) within encrypted documents, enabling computations to be performed on the encrypted data.
+  - Check the [code](https://huggingface.co/spaces/zama-fhe/encrypted-anonymization/tree/main)
 - [Credit card approval](https://huggingface.co/spaces/zama-fhe/credit_card_approval_prediction): Predicting credit scoring card approval application in which sensitive data can be shared and analyzed without exposing the actual information to neither the three parties involved, nor the server processing it.
-  - Check the code [here](https://huggingface.co/spaces/zama-fhe/credit_card_approval_prediction/tree/main)
+  - Check the [code](https://huggingface.co/spaces/zama-fhe/credit_card_approval_prediction/tree/main)
 - [Sentiment analysis with transformers](https://huggingface.co/blog/sentiment-analysis-fhe): predicting if an encrypted tweet / short message is positive, negative or neutral, using FHE.
-  - Check the code [here](https://huggingface.co/spaces/zama-fhe/encrypted_sentiment_analysis/tree/main) and the [blog post](https://huggingface.co/blog/sentiment-analysis-fhe)
+  - Check the [code](https://huggingface.co/spaces/zama-fhe/encrypted_sentiment_analysis/tree/main) and the [blog post](https://huggingface.co/blog/sentiment-analysis-fhe)
 - [Health diagnosis](https://huggingface.co/spaces/zama-fhe/encrypted_health_prediction): giving a diagnosis using FHE to preserve the privacy of the patient based on a patient's symptoms, history and other health factors.
-  - Check the code [here](https://huggingface.co/spaces/zama-fhe/encrypted_health_prediction/tree/main)
+  - Check the [code](https://huggingface.co/spaces/zama-fhe/encrypted_health_prediction/tree/main)
 - [Encrypted image filtering](https://huggingface.co/spaces/zama-fhe/encrypted_image_filtering): filtering encrypted images by applying filters such as black-and-white, ridge detection, or your own filter.
-  - Check the code [here](https://huggingface.co/spaces/zama-fhe/encrypted_image_filtering/tree/main)
+  - Check the [code](https://huggingface.co/spaces/zama-fhe/encrypted_image_filtering/tree/main)
 
 ### Code examples on Github:
 
@@ -29,6 +31,7 @@
 
 ### Blog tutorials:
 
+- [Running privacy-preserving inferences on Hugging Face endpoints](https://huggingface.co/blog/fhe-endpoints) - April 2024
 - [Build an end-to-end encrypted Shazam application using Concrete ML](https://www.zama.ai/post/encrypted-shazam-using-fully-homomorphic-encryption-concrete-ml-tutorial) - February 2024
 - [Linear regression over encrypted data with homomorphic encryption](https://www.zama.ai/post/linear-regression-using-linear-svr-and-concrete-ml-homomorphic-encryption) - June 2023
 - [Comparison of Concrete ML regressors](https://www.zama.ai/post/comparison-of-concrete-ml-regressors) - June 2023
@@ -39,5 +42,6 @@
 
 ### Video tutorials
 
+- [Work with encrypted DataFrames using Concrete ML](https://www.zama.ai/post/video-tutorial-work-with-encrypted-dataframes-using-concrete-ml) - May 2024
 - [Train a linear classifier on encrypted data using Concrete ML and Fully Homomorphic Encryption (FHE)](https://www.zama.ai/post/video-tutorial-train-a-linear-classifier-on-encrypted-data-using-concrete-ml-and-fully-homomorphic-encryption-fhe) - February 2024
 - [How to convert a scikit-learn model into its homomorphic equivalent](https://www.zama.ai/post/how-to-convert-a-scikit-learn-model-into-its-homomorphic-equivalent) - June 2023