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Summary
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Classroom Contents
Security of Edge AI Against Hardware Attacks
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- 1 Introduction
- 2 Overview
- 3 Side channel analysis
- 4 Differential power analysis
- 5 Fault attacks
- 6 Neural Network
- 7 Network Structure
- 8 Neuron Parameters
- 9 Power Trace
- 10 Activation Function
- 11 Retrieving Weights
- 12 Increasing Traces
- 13 Results
- 14 Counter measures
- 15 Masking
- 16 Takeaways
- 17 Questions
- 18 Thank you
- 19 Poll
- 20 Q1 How many neurons do the mentioned MLCN networks contain
- 21 How many neurons do the mentioned MLCN networks contain
- 22 How well does it scale with the network size
- 23 Does it make any difference
- 24 Generating adversarial examples
- 25 IP theft
- 26 Least negative impact
- 27 Hardware counter measures
- 28 How successful is an attack
- 29 Prior Knowledge
- 30 Random Input
- 31 Retrieve Network
- 32 Network Security
- 33 Parallel Implementation
- 34 Noise
- 35 Other attacks
- 36 Summary
- 37 Audience questions
- 38 Sponsors
