David Stutz • A student's point of view.

Find projects and articles on research in computer vision, deep learning, and machine learning using Python, Lua, Torch, Tensorflow, OpenCV and C++ as well as resources for web development with PHP and JavaScript/jQuery using popular frameworks such as Wordpress, Twitter Bootstrap, Kohana or CMSimple.

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DAVIDSTUTZ

Recorded MLSys’21 Talk “Bit Error Robustness for Energy-Efficient DNN Accelerators”
Recorded RobustAI Workshop Talk “Confidence-Calibrated Adversarial Training and Bit Error Robustness of DNNs”
Recorded FOCA’20 Talk “Bit Error Robustness for Energy-Efficient DNN Accelerators”
Recorded ICML’20 Talk “Confidence-Calibrated Adversarial Training”
Updated Pre-Print “Bit Error Robustness for Energy-Efficient DNN Accelerators “
Code Released: Adversarial Patch Training
What Lp Adversarial Examples make Sense on Common Vision Datasets?
ICML Talk “Confidence-Calibrated Adversarial Training”
ICML Paper “Confidence-Calibrated Adversarial Training”
ArXiv Pre-Print “On Mitigating Random and Adversarial Bit Errors”

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