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fix(keras): derive safe layer inventory from exports #718

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fix(keras): derive safe layer inventory from exports
typpo Mar 16, 2026
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Merge remote-tracking branch 'origin/main' into audit/pr718
mldangelo Mar 18, 2026
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176 changes: 176 additions & 0 deletions modelaudit/config/generated_keras_layers.py
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"""Generated Keras layer inventory.

Regenerate this file with `scripts/generate_keras_layer_inventory.py` after
updating the Keras reference version used for scanner maintenance.
"""

GENERATED_KNOWN_SAFE_KERAS_LAYER_CLASSES: frozenset[str] = frozenset(
{
"Activation",
"ActivityRegularization",
"AdaptiveAveragePooling1D",
"AdaptiveAveragePooling2D",
"AdaptiveAveragePooling3D",
"AdaptiveMaxPooling1D",
"AdaptiveMaxPooling2D",
"AdaptiveMaxPooling3D",
"Add",
"AdditiveAttention",
"AlphaDropout",
"Attention",
"AugMix",
"AutoContrast",
"Average",
"AveragePooling1D",
"AveragePooling2D",
"AveragePooling3D",
"AvgPool1D",
"AvgPool2D",
"AvgPool3D",
"BatchNormalization",
"Bidirectional",
"CategoryEncoding",
"CenterCrop",
"Concatenate",
"Conv1D",
"Conv1DTranspose",
"Conv2D",
"Conv2DTranspose",
"Conv3D",
"Conv3DTranspose",
"ConvLSTM1D",
"ConvLSTM2D",
"ConvLSTM3D",
"Convolution1D",
"Convolution1DTranspose",
"Convolution2D",
"Convolution2DTranspose",
"Convolution3D",
"Convolution3DTranspose",
"Cropping1D",
"Cropping2D",
"Cropping3D",
"CutMix",
"Dense",
"DepthwiseConv1D",
"DepthwiseConv2D",
"Discretization",
"Dot",
"Dropout",
"ELU",
"EinsumDense",
"Embedding",
"Equalization",
"Flatten",
"FlaxLayer",
"Functional",
"GRU",
"GRUCell",
"GaussianDropout",
"GaussianNoise",
"GlobalAveragePooling1D",
"GlobalAveragePooling2D",
"GlobalAveragePooling3D",
"GlobalAvgPool1D",
"GlobalAvgPool2D",
"GlobalAvgPool3D",
"GlobalMaxPool1D",
"GlobalMaxPool2D",
"GlobalMaxPool3D",
"GlobalMaxPooling1D",
"GlobalMaxPooling2D",
"GlobalMaxPooling3D",
"GroupNormalization",
"GroupQueryAttention",
"HashedCrossing",
"Hashing",
"Identity",
"InputLayer",
"InputSpec",
"IntegerLookup",
"JaxLayer",
"LSTM",
"LSTMCell",
"Lambda",
"Layer",
"LayerNormalization",
"LeakyReLU",
"Masking",
"MaxNumBoundingBoxes",
"MaxPool1D",
"MaxPool2D",
"MaxPool3D",
"MaxPooling1D",
"MaxPooling2D",
"MaxPooling3D",
"Maximum",
"MelSpectrogram",
"Minimum",
"MixUp",
"Model",
"MultiHeadAttention",
"Multiply",
"Normalization",
"PReLU",
"Permute",
"Pipeline",
"RMSNormalization",
"RNN",
"RandAugment",
"RandomBrightness",
"RandomColorDegeneration",
"RandomColorJitter",
"RandomContrast",
"RandomCrop",
"RandomElasticTransform",
"RandomErasing",
"RandomFlip",
"RandomGaussianBlur",
"RandomGrayscale",
"RandomHue",
"RandomInvert",
"RandomPerspective",
"RandomPosterization",
"RandomRotation",
"RandomSaturation",
"RandomSharpness",
"RandomShear",
"RandomTranslation",
"RandomZoom",
"ReLU",
"RepeatVector",
"Rescaling",
"Reshape",
"Resizing",
"ReversibleEmbedding",
"STFTSpectrogram",
"SeparableConv1D",
"SeparableConv2D",
"SeparableConvolution1D",
"SeparableConvolution2D",
"Sequential",
"SimpleRNN",
"SimpleRNNCell",
"Softmax",
"Solarization",
"SpatialDropout1D",
"SpatialDropout2D",
"SpatialDropout3D",
"SpectralNormalization",
"StackedRNNCells",
"StringLookup",
"Subtract",
"TFSMLayer",
"TextVectorization",
"TimeDistributed",
"TorchModuleWrapper",
"UnitNormalization",
"UpSampling1D",
"UpSampling2D",
"UpSampling3D",
"Wrapper",
"ZeroPadding1D",
"ZeroPadding2D",
"ZeroPadding3D",
}
)
153 changes: 6 additions & 147 deletions modelaudit/detectors/suspicious_symbols.py
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Expand Up @@ -55,6 +55,8 @@

from typing import Any

from modelaudit.config.generated_keras_layers import GENERATED_KNOWN_SAFE_KERAS_LAYER_CLASSES

from ..config.explanations import DANGEROUS_OPCODES as _EXPLAIN_OPCODES

# OS module aliases that provide system access similar to the 'os' module
Expand Down Expand Up @@ -669,153 +671,10 @@
# without custom code execution (Sequential, Functional, Model)
KNOWN_SAFE_MODEL_CLASSES: set[str] = {"Sequential", "Functional", "Model"}

# Known safe Keras layer class names (standard built-in layers).
# Any layer class_name NOT in this set or SUSPICIOUS_LAYER_TYPES is treated as
# a custom/unknown layer that warrants attention.
KNOWN_SAFE_KERAS_LAYER_CLASSES: frozenset[str] = frozenset(
{
# Input
"InputLayer",
"Input",
# Core
"Dense",
"Activation",
"Embedding",
"Masking",
"Flatten",
"Reshape",
"Permute",
"RepeatVector",
"Identity",
"EinsumDense",
# Activations (added)
"ReLU",
"Softmax",
"LeakyReLU",
"PReLU",
"ELU",
# Convolutional
"Conv1D",
"Conv2D",
"Conv3D",
"SeparableConv1D",
"SeparableConv2D",
"DepthwiseConv1D",
"DepthwiseConv2D",
"Conv1DTranspose",
"Conv2DTranspose",
"Conv3DTranspose",
# Pooling
"MaxPooling1D",
"MaxPooling2D",
"MaxPooling3D",
"AveragePooling1D",
"AveragePooling2D",
"AveragePooling3D",
"GlobalMaxPooling1D",
"GlobalMaxPooling2D",
"GlobalMaxPooling3D",
"GlobalAveragePooling1D",
"GlobalAveragePooling2D",
"GlobalAveragePooling3D",
"MaxPool1D",
"MaxPool2D",
"MaxPool3D",
"AvgPool1D",
"AvgPool2D",
"AvgPool3D",
"GlobalMaxPool1D",
"GlobalMaxPool2D",
"GlobalMaxPool3D",
"GlobalAvgPool1D",
"GlobalAvgPool2D",
"GlobalAvgPool3D",
# RNN
"SimpleRNN",
"LSTM",
"GRU",
"ConvLSTM1D",
"ConvLSTM2D",
"ConvLSTM3D",
"SimpleRNNCell",
"LSTMCell",
"GRUCell",
"StackedRNNCells",
"Bidirectional",
"TimeDistributed",
"RNN",
# Normalization
"BatchNormalization",
"LayerNormalization",
"GroupNormalization",
"UnitNormalization",
"SpectralNormalization",
# Regularization
"Dropout",
"SpatialDropout1D",
"SpatialDropout2D",
"SpatialDropout3D",
"GaussianNoise",
"GaussianDropout",
"AlphaDropout",
"ActivityRegularization",
# Attention
"MultiHeadAttention",
"Attention",
"AdditiveAttention",
# Merging
"Add",
"Subtract",
"Multiply",
"Average",
"Maximum",
"Minimum",
"Concatenate",
"Dot",
# Padding/Cropping
"ZeroPadding1D",
"ZeroPadding2D",
"ZeroPadding3D",
"Cropping1D",
"Cropping2D",
"Cropping3D",
# Upsampling
"UpSampling1D",
"UpSampling2D",
"UpSampling3D",
# Preprocessing
"Rescaling",
"Resizing",
"CenterCrop",
"RandomFlip",
"RandomRotation",
"RandomZoom",
"RandomCrop",
"RandomTranslation",
"RandomContrast",
"RandomBrightness",
"RandomHeight",
"RandomWidth",
"Normalization",
"Discretization",
"CategoryEncoding",
"Hashing",
"HashedCrossing",
"StringLookup",
"IntegerLookup",
"TextVectorization",
# TF-specific
"TFSMLayer",
# Wrapper
"Wrapper",
# Model classes (nested models in configs)
"Sequential",
"Functional",
"Model",
# Keras DType
"DTypePolicy",
}
)
# Known safe Keras layer class names derived from Keras public `keras.layers.*`
# exports. Refresh the generated inventory with
# `scripts/generate_keras_layer_inventory.py` when Keras adds new public layers.
KNOWN_SAFE_KERAS_LAYER_CLASSES: frozenset[str] = GENERATED_KNOWN_SAFE_KERAS_LAYER_CLASSES

# Known standard Keras loss function names (string identifiers and class names).
# Used to detect custom/unknown loss functions in training_config.
Expand Down
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