Offline training | Autonomous driving AI safety development
August 3-4, Jiading, Shanghai
schedule:
DAY 1
Security Overview of AI Algorithms
Autonomous driving AI safety overview
Introduction to autonomous driving AI safety-related standards and specifications (ISO 26262, ISO 21448, ISO 8800, UL4600…)
· Overview of the methodology for safe AI development
Functional safety development and expected functional safety development of autonomous driving AI
Overview of ISO 26262 in autonomous driving AI systems
Introduction to functional safety system design and redundant system of AI system
Functional safety software development for AI systems
Functional safety hardware development for AI systems
· Common functional safety issues - failure rate issues of high computing power SOC chips
Common functional safety issues - Functional safety issues of vehicle-mounted LINUX: Introduction to ISO 8926
· Expected functional safety development of autonomous driving AI algorithms - core methodology
Introduction to common functional deficiencies and triggering conditions of AI algorithm SOTIF
SOTIF security analysis of AI algorithms
Introduction to SOTIF security requirements for AI algorithms
SOTIF testing of AI algorithms
SOTIF verification of AI algorithms: How to meet the requirements of massive verification target mileage
Q&A & Discussion
DAY 2
Cybersecurity development for autonomous driving AI
Cybersecurity protection of AI system infrastructure: Application of ISO 21434
Introduction to common cybersecurity attack and defense methods for AI system infrastructure
Introduction to attacks on AI algorithms themselves
Introduction to AI algorithm countermeasures
Introduction to the intrinsic security of AI algorithms and engineering practice methods
Introduction to ISO 8800
Introduction to security processes and security management for AI algorithm development
AI security architecture
Data security of AI
Introduction to AI algorithm monitoring measures
Introduction to the design of CV monitoring algorithm for AI algorithm
Introduction to uncertainty monitoring algorithms for AI algorithms
Introduction to OOD monitoring algorithm of AI algorithm
Introduction to AI algorithm robustness measures
AI algorithm robustness training measures
· Introduction to test coverage of AI algorithms
Q&A & Discussion
(Registration is subject to payment)
This training lasts for two days and costs 3999 yuan per person
SASETECH