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About Adversarial ML Survey Paper
1) The document surveys security and privacy issues in deep learning systems, focusing on four types of attacks: model extraction, model inversion, poisoning, and adversarial attacks. 2) For each attack type, the survey constructs the essential workflow and adversary capabilities and goals. 3) The survey evaluates attack approaches using various metrics and provides a quantitative and qualitative analysis, identifying 17 key findings regarding the attacks' merits, limitations, success rates, and deployment complexity.
Detailed Information
| Author: | ['SahilKumar'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 23 |
| Language: | English |
| Format: | |
| Price: | FREE |
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