Safebench: A benchmarking platform for safety evaluation of autonomous vehicles

C Xu, W Ding, W Lyu, Z Liu, S Wang… - Advances in …, 2022 - proceedings.neurips.cc
As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …
被引用次数：34 相关文章

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

C Xu, W Ding, W Lyu, Z Liu, S Wang, Y He… - arXiv preprint arXiv …, 2022 - arxiv.org
As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

C Xu, W Ding, W Lyu, Z Liu, S Wang… - 36th Conference on …, 2022 - experts.illinois.edu
As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

C Xu, W Ding, W Lyu, Z Liu, S Wang, Y He… - arXiv e …, 2022 - ui.adsabs.harvard.edu
As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

C Xu, W Ding, W Lyu, Z Liu, S Wang, Y He… - … -sixth Conference on …, 2022 - openreview.net
As shown by recent studies, machine intelligence-enabled systems are vulnerable to test
cases resulting from either adversarial manipulation or natural distribution shifts. This has …