当前位置:首页 > 报告详情

用于远程操作指令的对抗模糊测试:评估自动驾驶车辆的韧性.pdf

上传人: 竿*** 编号:981930 2025-11-29 75页 6.80MB

1、#BHUSA BlackHatEventsAdversarial Fuzzer for Teleoperation Commands:Zhisheng Hu,Shanit Gupta,Cooper de NicolaEvaluating Autonomous Vehicle Resilience#BHUSA BlackHatEventsZhisheng HuDirector of Product SecurityProduct Security EngineerShanit GuptaAbout Us#BHUSA BlackHatEventsDisclaimerAll tests were c

2、onducted in simulation or tightly controlled test environment.Collisions occurred only in simulation.Results are based on outdated software versions.#BHUSA BlackHatEventsWhat is Teleoperation?#BHUSA BlackHatEventsZooxs TeleGuidance#BHUSA BlackHatEventsZooxs TeleGuidance#BHUSA BlackHatEventsVehicleOp

3、erations CenterDetect potential construction zone#BHUSA BlackHatEventsVehicleOperations CenterAI:Hey human,take a look.Is something in my way?#BHUSA BlackHatEventsVehicleOperations CenterOP:Yes,lane shifted or closed#BHUSA BlackHatEventsVehicleOperations CenterAI:Any suggestions?#BHUSA BlackHatEvent

4、sVehicleOperations CenterOP:Try this suggestionSuggestion:-Waypoints-Stop#BHUSA BlackHatEventsVehicleOperations CenterAI:Nice,let me try it.#BHUSA BlackHatEventsVehicleOperations CenterAI:Dont worry,I am still in full autonomy#BHUSA BlackHatEventsHow to Show Teleoperation is Working Safely#BHUSA Bla

5、ckHatEventsImplement real-world test case#BHUSA BlackHatEventsSend command#BHUSA BlackHatEventsSee if it passes#BHUSA BlackHatEventsSee if it passes#BHUSA BlackHatEventsHow About Mistakes?#BHUSA BlackHatEvents#BHUSA BlackHatEvents#BHUSA BlackHatEvents#BHUSA BlackHatEventsAdversarial variations#BHUSA

6、 BlackHatEventsAdversarial variations#BHUSA BlackHatEvents#BHUSA BlackHatEvents#BHUSA BlackHatEventsIs There A Scalable Way?#BHUSA BlackHatEventsMonitoringTarget systemFuzzerFeedback on behaviorNew Input#BHUSA BlackHatEventsMonitoringTarget systemFuzzerFeedback on behaviorNew Input#BHUSA BlackHatEve

word格式文档无特别注明外均可编辑修改,预览文件经过压缩,下载原文更清晰!
三个皮匠报告文库所有资源均是客户上传分享,仅供网友学习交流,未经上传用户书面授权,请勿作商用。
根据报告的内容,全文主要探讨了自动驾驶车辆的远程操控(Teleoperation)及其安全性评估。以下是关键点: 1. **远程操控测试**:在模拟或严格控制的环境中测试,确保安全。 2. **测试结果**:基于过时的软件版本,发现300+不同场景,50,000+变异,3起有效碰撞。 3. **测试案例**:包括从停车区并入车道、逆行进入交叉口、多智能体交互右转等。 4. **命令变异**:通过调整参数(如纵向偏移x、横向偏移y、开始逆行时间t等)来测试系统。 5. **系统改进**:在感知、规划和远程操控方面进行改进,以增强安全性。 6. **未来展望**:强调AI栈的持续模糊测试对于保持系统安全的重要性。
对抗性模糊测试揭秘** 自动驾驶如何应对复杂场景** 自动驾驶系统如何应对误操作**
客服
商务合作
小程序
服务号
折叠