| Total visitors | 67 +139% | 39 more than previous period |
|---|---|---|
| Total pageviews | 140 -26% | 50 less than previous period |
| Realtime pageviews | 0 | pageviews in the last hour |
| # | Pages | Visitors | Pageviews |
|---|---|---|---|
| 1 | Cover | 61 | 92 |
| 2 | Acknowledgements | 18 | 18 |
| 3 | Chapter 1: Introduction to Machine Learning Security and Challenges | 4 | 5 |
| 4 | 1.0 Learning Outcomes | 3 | 4 |
| 5 | 1.1 Introduction to Machine Learning Security | 3 | 4 |
| 6 | Version History | 1 | 2 |
| 7 | 1.7 Chapter Summary | 1 | 1 |
| 8 | 1.6 Challenges in Securing Machine Learning Systems | 1 | 1 |
| 9 | 1.2 Adversarial Attack Types: Model Processing and Development | 1 | 1 |
| 10 | 1.4 Adversarial Attack Types: Capability and Intention of the Adversary. | 1 | 1 |
| 11 | Chapter 3: Evasion Attack (Adversarial Examples) | 1 | 1 |
| 12 | 4.0 Learning Outcomes | 1 | 1 |
| 13 | 4.3 Attack Method and Examples | 1 | 1 |
| 14 | 4.4 Mitigating Poisoning Attacks | 1 | 1 |
| 15 | 3.4 Distance Metrics of Adversarial Perturbations | 1 | 1 |
| 16 | 5.0 Learning Outcomes | 1 | 1 |
| 17 | 5.2 How Backdoor Poisoning Works | 1 | 1 |
| 18 | 5.7 Chapter Summary | 1 | 1 |
| 19 | Chapter 6: Privacy Attack | 1 | 1 |
| 20 | 6.1 Introduction | 1 | 1 |
| # | Referrers | Visitors | Pageviews |
|---|---|---|---|
| 1 | linkedin.com | 20 | 26 |
| 2 | Android app: com.linkedin.android | 4 | 6 |
| 3 | pressbooks.directory | 2 | 3 |
| 4 | google.com | 2 | 3 |
| 5 | yandex.ru | 1 | 1 |
| 6 | search.fanshawelibrary.ca | 1 | 1 |