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1
Introduction
2
Adversarial Tags
3
Video Recognition Systems
4
Previous Video Attacks
5
Contributions
6
Threat Model
7
Procedure Noise
8
Tech Framework
9
Improving Processor Abilities
10
Addressing the Boundary Effect
11
Expandable Results
12
Family Models
13
Adverse Examples
14
RealTime Performance
15
Attack against the main difference
16
Conclusion
Description:
Explore a 16-minute IEEE conference talk on developing universal 3-dimensional perturbations for black-box attacks on video recognition systems. Delve into adversarial tags, previous video attacks, and the proposed threat model. Learn about the innovative ProcedureNoise framework, techniques for improving processor abilities, and methods to address boundary effects. Examine expandable results, family models, and adverse examples. Gain insights into real-time performance and attacks against main differences in video recognition systems.

Universal 3-Dimensional Perturbations for Black-Box Attacks on Video Recognition Systems

IEEE
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