Fix link for explainer doc (#24)

README.md

@@ -158,10 +158,10 @@ as models are deployed as well if this is done outside your ML Pipelines.
 
 ## Diving Deeper
 
-Inside our [notebooks](https://github.com/protectai/modelscan/tree/main/notebooks) folder you can explore a number of notebooks that showcase
+Inside the [**notebooks**](https://github.com/protectai/modelscan/tree/main/notebooks) folder you can explore a number of notebooks that showcase
 exactly how Model Serialization Attacks can be performed against various ML Frameworks like TensorFlow and PyTorch.
 
-To dig more into the meat of how exactly these attacks work check out [docs/model_serialization_attacks.md](https://github.com/protectai/modelscan/blob/main/model_serialization_attacks.md).
+To dig more into the meat of how exactly these attacks work check out [**Model Serialization Attack Explainer**](https://github.com/protectai/modelscan/blob/main/docs/model_serialization_attacks.md).
 
 If you encounter any other approaches for evaluating models in a static context, please reach out, we'd love
 to learn more!
@@ -192,4 +192,4 @@ We appreciate the work and have extended it significantly with ModelScan. ModelS
 We would love to have you contribute to our open source ModelScan project. 
 If you would like to contribute, please follow the details on [Contribution page](https://github.com/protectai/modelscan/blob/main/CONTRIBUTING.md). 
 
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+