Data: map[string]string{
						"mesh": string(util.ReadFile(t, path.Join(testdir, "meshconfig.yaml"))),
					},
				}, metav1.CreateOptions{})
				client.Kube().CoreV1().Secrets("bar").Create(context.Background(), &v1.Secret{
					ObjectMeta: metav1.ObjectMeta{Namespace: "bar", Name: "test"},
					Data: map[string][]byte{
						"token": {},
					},
				}, metav1.CreateOptions{})
			}

			cmdWithClusterID := []string{

 *   // If this is preemptive auth, use a preemptive credential.
 *   if (challenge.scheme().equalsIgnoreCase("OkHttp-Preemptive")) {
 *     return response.request().newBuilder()
 *         .header("Proxy-Authorization", "secret")
 *         .build();
 *   }
 * }
 * return null; // Didn't find a preemptive auth scheme.
 * ```
 *
 * ## Reactive Authentication
 *

            HttpServletResponse response) throws ServletException, IOException {
        UniAddress dc;
        boolean offerBasic = enableBasic &&
                (insecureBasic || request.isSecure());
        String msg = request.getHeader("Authorization");
        if (msg != null && (msg.startsWith("NTLM ") ||
                    (offerBasic && msg.startsWith("Basic ")))) {
            if( loadBalance ) {

可以看到如下用户界面：

<img src="https://fastapi.tiangolo.com/img/tutorial/security/image07.png">

用与上一章同样的方式实现应用授权。

使用如下凭证：

用户名: `johndoe` 密码: `secret`

/// check | "检查"

注意，代码中没有明文密码**`secret`**，只保存了它的哈希值。

///

<img src="https://fastapi.tiangolo.com/img/tutorial/security/image08.png">

调用 `/users/me/` 端点，收到下面的响应：

```JSON
{
  "username": "johndoe",

credentials without including MinIO default credentials. Instead, the identity of the caller is validated by using a JWT access token from the identity provider. The temporary security credentials returned by this API consists of an access key, a secret key, and a security token. Applications can use these temporary security credentials to sign calls to MinIO API operations.

By default, the temporary security credentials created by AssumeRoleWithClientGrants last for one hour. However, use...

                return StringUtil.EMPTY;
            }

            @Override
            public String getAppEncryptPropertyPattern() {
                return ".*password|.*key|.*token|.*secret";
            }
        };
        ComponentUtil.setFessConfig(fessConfig);
        SystemHelper systemHelper = new SystemHelper() {
            @Override
            public String getProductVersion() {

        options.addOption(Option.builder(Character.toString(NON_RECURSIVE))
                .longOpt("non-recursive")
                .desc(
                        "Do not recurse into sub-projects. When used together with -pl, do not recurse into sub-projects of selected aggregators")
                .build());
        options.addOption(Option.builder(Character.toString(UPDATE_SNAPSHOTS))
                .longOpt("update-snapshots")

			case *ast.TypeSpec:
				if isDeprecated(n.Doc) {
					mark(n.Name)
				}
				return true // recurse into struct or interface type
			case *ast.StructType:
				return true // recurse into fields
			case *ast.InterfaceType:
				return true // recurse into methods
			case *ast.FieldList:
				return true // recurse into fields
			case *ast.ValueSpec:
				if isDeprecated(n.Doc) {
					for _, id := range n.Names {

# Using TensorFlow Securely

This document discusses the TensorFlow security model. It describes the security
risks to consider when using models, checkpoints or input data for training or
serving. We also provide guidelines on what constitutes a vulnerability in
TensorFlow and how to report them.

This document applies to other repositories in the TensorFlow organization,
covering security practices for the entirety of the TensorFlow ecosystem.

	registerStringParameter(constants.KubeCAFile, "", "CA file for kubeconfig. Defaults to the same as install-cni pod")
	registerBooleanParameter(constants.SkipTLSVerify, false, "Whether to use insecure TLS in kubeconfig file")
	registerIntegerParameter(constants.MonitoringPort, 15014, "HTTP port to serve prometheus metrics")