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LLTFI
PublicLLTFI is a tool, which is an extension of LLFI, allowing users to run fault injection experiments on C/C++, TensorFlow and PyTorch applications at the LLVM IR level. Please refer to the paper below. NOTE: If you publish a paper using LLTFI, please cite the following paper:specguard
PublicAutoPatch
Publiccode_poison_MIA
PublicOneOS
PublicSwarmFuzz
PublicPOMABuster
PublicSolidiFI
PublicDeLorean
PublicEdgeEngine
PublicThe code and datasets used for EdgeEngine research paper (SEC'23). EdgeEngine is a thermal-aware optimization framework for running ML inference on heterogenous edge platforms.MIA_defense_HAMP
PublicODFI
PublicODFI is an annotation fault injection tool for object detection datasets. More info can be found in our ISSRE'23 paper: https://blogs.ubc.ca/dependablesystemslab/2023/08/07/evaluating-the-effect-of-common-annotation-faults-on-object-detection-techniques-per/structural-coding
PubliceTainter
PublicAChecker
Publicpid-piper
PublicThingsJS
PublicThingsJS is a framework for running JavaScript applications on IoT devices such as Raspberry PIs. For more details, see below:EdgeShell
PublicJujutsu
Publicstealthy-attacks
Publiconnx-mlir-lltfi
PublicLLFI
PublicLLFI is an LLVM based fault injection tool, that injects faults into the LLVM IR of the application source code. The faults can be injected into specific program points, and the effect can be easily tracked back to the source code. Please refer to the paper below. NOTE: If you publish a paper using LLFI, please add it to PaperLLFI.bibSolidiFI-benchmark
PublicPCMeetingDashboard
PublicGoHigh
PublicTDFM-Techniques
PublicTensorFI2
PublicTensorFI 2 is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow 2 framework.Pi-Configurator
PublicNN-Ensemble
Publicpytorchfi
Public