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Insecure-Model-Examples

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• "xgboost.sklearn.XGBClassifier",
• "numpy.core.multiarray._reconstruct",
• "builtins.bytearray",
• "numpy.ndarray",
• "posix.system",
• "numpy.dtype",
• "xgboost.core.Booster"

How to fix it?

• "collections.OrderedDict",
• "posix.system",
• "torch._utils._rebuild_parameter",
• "__builtin__.set",
• "transformers.models.roberta.modeling_roberta.RobertaLayer",
• "transformers.models.roberta.modeling_roberta.RobertaOutput",
• "transformers.models.roberta.configuration_roberta.RobertaConfig",
• "torch.FloatStorage",
• "transformers.activations.GELUActivation",
• "torch.nn.modules.normalization.LayerNorm",
• "torch.nn.modules.dropout.Dropout",
• "torch.nn.modules.container.ModuleList",
• "transformers.models.roberta.modeling_roberta.RobertaEmbeddings",
• "torch._utils._rebuild_tensor_v2",
• "transformers.models.roberta.modeling_roberta.RobertaIntermediate",
• "torch.LongStorage",
• "transformers.models.roberta.modeling_roberta.RobertaSdpaSelfAttention",
• "torch._C._nn.gelu",
• "transformers.models.roberta.modeling_roberta.RobertaAttention",
• "transformers.models.roberta.modeling_roberta.RobertaForSequenceClassification",
• "transformers.models.roberta.modeling_roberta.RobertaModel",
• "transformers.models.roberta.modeling_roberta.RobertaClassificationHead",
• "torch.nn.modules.sparse.Embedding",
• "torch.float32",
• "transformers.models.roberta.modeling_roberta.RobertaEncoder",
• "transformers.models.roberta.modeling_roberta.RobertaSelfOutput",
• "torch.nn.modules.linear.Linear"

How to fix it?