深層学習のリペア技術の最新動向と実際 / DNN Repair Techniques for AI Performance Alignment for Safety Requirements - Speaker Deck

Tweet

Tweet

Slide 1

Slide 1 text

No content

Slide 2

Slide 2 text

◼ ◼ ◼ ◼ ◼ ◼ ◼ ◼

Slide 3

Slide 3 text

◼ ◼ ◼ ◼

Slide 4

Slide 4 text

◼ ◼ ◼ ◼

Slide 5

Slide 5 text

No content

Slide 6

Slide 6 text

◼ ◼ ◼ ◼

Slide 7

Slide 7 text

◼ ◼ ◼ ◼

Slide 8

Slide 8 text

No content

Slide 9

Slide 9 text

◼ ◼ ◼

Slide 10

Slide 10 text

◼ ◼ ◼ ◼ ◼ ◼

Slide 11

Slide 11 text

→

Slide 12

Slide 12 text

No content

Slide 13

Slide 13 text

◼ ◼ ◼ ◼ ◼ ◼ ◼ ◼

Slide 14

Slide 14 text

◼ • • • •

Slide 15

Slide 15 text

◼ ◼ ◼ ◼

Slide 16

Slide 16 text

◼ ◼ ◼ ◼ ◼ → ◼ →

Slide 17

Slide 17 text

◼ ◼ ◼ ◼ ◼ ◼

Slide 18

Slide 18 text

◼ ◼ ◼ ◼

Slide 19

Slide 19 text

◼ ◼

Slide 20

Slide 20 text

◼ ◼ ◼ ◼

Slide 21

Slide 21 text

◼ ◼ ◼ ◼ An illustritive figure of CPS DNN Controller output signal o Physical Plant System state y Control decision c input signal u c ℳ control input x ego car lead car safe distance relative distance aego environment AI-enabled CPS drel

Slide 22

Slide 22 text

◼ ◼ ◼ ◼

Slide 23

Slide 23 text

No content

Slide 24

Slide 24 text

◼ ◼ ◼ ◼ ◼ ◼

Slide 25

Slide 25 text

◼ ◼ ◼

Slide 26

Slide 26 text

◼ ◼

Slide 27

Slide 27 text

◼ ◼ ◼ ◼ ◼

Slide 28

Slide 28 text

◼ ◼ ◼ ◼

Slide 29

Slide 29 text

◼ ◼ ◼ ◼ ◼ ◼ ◼

Slide 30

Slide 30 text

◼ ◼ ◼