optional PhotonPersistentDiskVolumeSource photonPersistentDisk = 17;

  // portworxVolume represents a portworx volume attached and mounted on kubelets host machine
  // +optional
  optional PortworxVolumeSource portworxVolume = 18;

  // scaleIO represents a ScaleIO persistent volume attached and mounted on Kubernetes nodes.
  // +optional

message VolumeAttachmentStatus {
  // attached indicates the volume is successfully attached.
  // This field must only be set by the entity completing the attach
  // operation, i.e. the external-attacher.
  optional bool attached = 1;

  // attachmentMetadata is populated with any
  // information returned by the attach operation, upon successful attach, that must be passed

message VolumeAttachmentStatus {
  // attached indicates the volume is successfully attached.
  // This field must only be set by the entity completing the attach
  // operation, i.e. the external-attacher.
  optional bool attached = 1;

  // attachmentMetadata is populated with any
  // information returned by the attach operation, upon successful attach, that must be passed

message VolumeAttachmentStatus {
  // attached indicates the volume is successfully attached.
  // This field must only be set by the entity completing the attach
  // operation, i.e. the external-attacher.
  optional bool attached = 1;

  // attachmentMetadata is populated with any
  // information returned by the attach operation, upon successful attach, that must be passed

* Add support for volume attach limits for CSI volumes ([#67731](https://github.com/kubernetes/kubernetes/pull/67731), [@gnufied](https://github.com/gnufied))
* CSI volume plugin does not need external attacher for non-attachable CSI volumes. ([#67955](https://github.com/kubernetes/kubernetes/pull/67955), [@jsafrane](https://github.com/jsafrane))

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ass","toggleClass","stateVal","isValidValue","hasClass","rreturn","valHooks","optionSet","focusin","rfocusMorph","stopPropagationCallback","onlyHandlers","bubbleType","ontype","lastElement","eventPath","parentWindow","simulate","triggerHandler","attaches","rquery","parseXML","parserErrorElem","DOMParser","parseFromString","rbracket","rCRLF","rsubmitterTypes","rsubmittable","buildParams","traditional","param","s","valueOrFunction","encodeURIComponent","serialize","serializeArray","r20","rhash","r...

### Hardware attacks

Physical GPUs or TPUs can also be the target of attacks. [Published
research](https://scholar.google.com/scholar?q=gpu+side+channel) shows that it
might be possible to use side channel attacks on the GPU to leak data from other
running models or processes in the same system. GPUs can also have
implementation bugs that might allow attackers to leave malicious code running

    # Return some error
    ...
```

But by using the `secrets.compare_digest()` it will be secure against a type of attacks called "timing attacks".

### Timing Attacks

But what's a "timing attack"?

Let's imagine some attackers are trying to guess the username and password.

And they send a request with a username `johndoe` and a password `love123`.

```
(You can paste links or attach files by dragging & dropping them below)
- Provide links to your updated versions of the above two colab notebooks.
- Provide links to your TensorFlow model and (optionally) TensorFlow Lite Model.
```

#### Option B: Paste your code here or provide a link to a custom end-to-end colab

```
(You can paste links or attach files by dragging & dropping them below)