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20092022
most citedGuessing Smart: Biased Sampling for Efficient Black-Box Adversarial Attacks

112 citations · 552 across the 38 of their papers we have counts for

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Showing 2019Show all

8 papers · 1 filter

cs.CV2019★ 1 cited

Copy and Paste: A Simple But Effective Initialization Method for Black-Box Adversarial Attacks

Thomas Brunner, Frederik Diehl, Alois Knoll

Many optimization methods for generating black-box adversarial examples have been proposed, but the aspect of initializing said optimizers has not been considered in much detail. W…

stat.ML2019

Leveraging Semantic Embeddings for Safety-Critical Applications

Thomas Brunner, Frederik Diehl, Michael Truong Le +1

Semantic Embeddings are a popular way to represent knowledge in the field of zero-shot learning. We observe their interpretability and discuss their potential utility in a safety-c…

cs.RO2019★ 26 cited

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

Tobias Kessler, Julian Bernhard, Martin Buechel +7

Although many research vehicle platforms for autonomous driving have been built in the past, hardware design, source code and lessons learned have not been made available for the n…

cs.RO2019★ 26 cited

From Specifications to Behavior: Maneuver Verification in a Semantic State Space

Klemens Esterle, Vincent Aravantinos, Alois Knoll

To realize a market entry of autonomous vehicles in the foreseeable future, the behavior planning system will need to abide by the same rules that humans follow. Product liability…

cs.RO2019★ 1 cited

Energy-Efficient Slithering Gait Exploration for a Snake-like Robot based on Reinforcement Learning

Zhenshan Bing, Christian Lemke, Zhuangyi Jiang +2

Similar to their counterparts in nature, the flexible bodies of snake-like robots enhance their movement capability and adaptability in diverse environments. However, this flexibil…

cs.CV2019

Targetless Rotational Auto-Calibration of Radar and Camera for Intelligent Transportation Systems

Christoph Schöller, Maximilian Schnettler, Annkathrin Krämmer +4

Most intelligent transportation systems use a combination of radar sensors and cameras for robust vehicle perception. The calibration of these heterogeneous sensor types in an auto…