DylanWangWQF's Stars
eloquentarduino/micromlgen
Generate C code for microcontrollers from Python's sklearn classifiers
emlearn/emlearn
Machine Learning inference engine for Microcontrollers and Embedded devices
DMTF/libspdm
The-Randalorian/pico_decision_tree
A small decision tree machine learning library written in C++. Designed to have only the necessary features for a decision tree. Good for microcontrollers like the Raspberry Pi Pico.
tensorflow/tflite-micro
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
allexoK/TinyDecisionTreeClassifier
SideChannelMarvels/Deadpool
Repository of various public white-box cryptographic implementations and their practical attacks.
newaetech/chipwhisperer-jupyter
Interactive ChipWhisperer tutorials using Jupyter notebooks.
ftramer/Steal-ML
Model extraction attacks on Machine-Learning-as-a-Service platforms.
Orbmu2k/nvidiaProfileInspector
manciuszz/FinerCurves
An experimental tool to control GPU clocks using "NVIDIA Inspector" by setting specific clocks on specific GPU temperatures, probably like NVIDIA GPU Boost feature, just that its customizable.
mhtvsSFrpHdE/precision-x1-curve-editor
Underclock, environment friendly, your GPU will start to counting sheep.
marieai/marie-ai
Integrate AI-powered Document Analysis Pipelines
xor2k/gpu_undervolt
LunarPSD/NvidiaOverclocking
Nvidia GPU Overclocking Guide
hpc-ulisboa/nonconventional-dvfs
Exploiting non-conventional DVFS on GPUs
fffasttime/MRFI
DependableSystemsLab/TensorFI
TensorFI is a fault injection framework for injecting both hardware and software faults into applications written using the TensorFlow framework. You can find more information about TensorFI in the paper below.
NVIDIA/DCGM
NVIDIA Data Center GPU Manager (DCGM) is a project for gathering telemetry and measuring the health of NVIDIA GPUs
IntelLabs/PyTorchALFI
Application Level Fault Injection for Pytorch
NVlabs/sassifi
An Architecture-level Fault Injection Tool for GPU Application Resilience Evaluations
caldi-uoa/gpuFI-4
gpuFI-4 is a detailed microarchitecture-level fault injection framework to assess the cross-layer vulnerability of hardware structures and entire Nvidia GPU chips for single and multiple bit faults, built on top of the state-of-the-art simulator GPGPU-Sim 4.0.
DependableSystemsLab/LLFI-GPU
Fault injector for GPUs based on the LLFI Fault Injection Tool
DependableSystemsLab/GPU-Injector
A Fault Injector for GPGPU applications
NVlabs/nvbitfi
Architecture-level Fault Injection Tool for GPU Application Resilience Evaluation
DependableSystemsLab/DNNFI
Fault Injector for Deep Neural Network (DNN) Accelerators
vortexgpgpu/vortex
ahoi-attacks/heckler
Breaking Confidential VMs with Malicious Interrupts (USENIX Security 2024)
ahoi-attacks/WeSee
Using Malicious #VC Interrupts to Break AMD SEV-SNP (IEEE S&P 2024)
NVIDIA/nvtrust
Ancillary open source software to support confidential computing on NVIDIA GPUs