Michael Truong Le

Guessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks

Thomas Brunner, Frederik Diehl, Michael Truong Le et al. · 2019 · 113 citations · Full text

Adversarial Examples, Convolutional Neural Network, Computer Vision +15

Uncertainty Estimation for Deep Neural Object Detectors in Safety-Critical Applications

Michael Truong Le, Frederik Diehl, Thomas Brunner et al. · 2018 · 77 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +17

Deep neural networks for Markovian interactive scene prediction in highway scenarios

David Lenz, Frederik Diehl, Michael Truong Le et al. · 2017 · 76 citations

Scene Analysis, Engineering, Machine Learning +19

Neural networks for safety-critical applications — Challenges, experiments and perspectives

Chih‐Hong Cheng, Frederik Diehl, Gereon Hinz et al. · 2018 · 36 citations

Artificial Intelligence, Engineering, Machine Learning +19

Bridging the Gap between Open Source Software and Vehicle Hardware for Autonomous Driving

Tobias Kessler, Julian Bernhard, Martin Buechel et al. · 2019 · 25 citations · Full text