diff --git a/mlir/lib/AsmParser/AttributeParser.cpp b/mlir/lib/AsmParser/AttributeParser.cpp
index 89b5970..52ab736 100644
--- a/mlir/lib/AsmParser/AttributeParser.cpp
+++ b/mlir/lib/AsmParser/AttributeParser.cpp
@@ -1081,6 +1081,8 @@
     indicesType = RankedTensorType::get(indiceParser.getShape(), indiceEltType);
   }
   auto indices = indiceParser.getAttr(indicesLoc, indicesType);
+  if (!indices)
+    return nullptr;
 
   // If the values are a splat, set the shape explicitly based on the number of
   // indices. The number of indices is encoded in the first dimension of the
@@ -1091,6 +1093,8 @@
           ? RankedTensorType::get({indicesType.getDimSize(0)}, valuesEltType)
           : RankedTensorType::get(valuesParser.getShape(), valuesEltType);
   auto values = valuesParser.getAttr(valuesLoc, valuesType);
+  if (!values)
+    return nullptr;
 
   // Build the sparse elements attribute by the indices and values.
   return getChecked<SparseElementsAttr>(loc, type, indices, values);
diff --git a/mlir/test/IR/invalid-builtin-attributes.mlir b/mlir/test/IR/invalid-builtin-attributes.mlir
index 10988be..d2c1153 100644
--- a/mlir/test/IR/invalid-builtin-attributes.mlir
+++ b/mlir/test/IR/invalid-builtin-attributes.mlir
@@ -109,6 +109,20 @@
 
 // -----
 
+func.func @invalid_sparse_indices() {
+  // expected-error @+1 {{expected integer elements, but parsed floating-point}}
+  "foo"(){bar = sparse<0.5, 1> : tensor<1xi16>} : () -> ()
+}
+
+// -----
+
+func.func @invalid_sparse_values() {
+  // expected-error @+1 {{expected integer elements, but parsed floating-point}}
+  "foo"(){bar = sparse<0, 1.1> : tensor<1xi16>} : () -> ()
+}
+
+// -----
+
 func.func @hexadecimal_float_leading_minus() {
   // expected-error @+1 {{hexadecimal float literal should not have a leading minus}}
   "foo"() {value = -0x7fff : f16} : () -> ()