diff --git a/website/docs/resources/slides/somesh-aml.pdf b/website/docs/resources/slides/somesh-aml.pdf new file mode 100644 index 0000000..a4346f3 Binary files /dev/null and b/website/docs/resources/slides/somesh-aml.pdf differ diff --git a/website/docs/schedule/lectures.md b/website/docs/schedule/lectures.md index 42d0743..daf7d75 100644 --- a/website/docs/schedule/lectures.md +++ b/website/docs/schedule/lectures.md @@ -17,7 +17,7 @@ Data Privacy* (AFDP) by Cynthia Dwork and Aaron Roth, available 9/26 | Privacy for data streams
**Paper:** Chan, Shi, and Song. [*Private and Continual Release of Statistics*](https://eprint.iacr.org/2010/076.pdf). | Yinglun 10/1 | Local differential privacy
**Paper:** Erlingsson, Pihur, and Korolova. [*RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response*](https://arxiv.org/pdf/1407.6981.pdf). | Justin |

**Adversarial Machine Learning**

| -10/3 | AML: overview and basics
**GUEST LECTURE**
| Somesh Jha +10/3 | [AML: overview and basics](../resources/slides/somesh-aml.pdf)
**GUEST LECTURE**
| Somesh Jha 10/8 | History of Adversarial ML
**Paper:** Biggio and Roli. [*Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning*](https://arxiv.org/pdf/1712.03141). | Meghana 10/10 | Adversarial examples
**Paper:** Szegedy, Zaremba, Sutskever, et al. [*Intriguing Properties of Neural Networks*](https://arxiv.org/pdf/1312.6199.pdf). | Shimaa 10/15 |
**NO CLASS: INSTRUCTOR AWAY**
|