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**inactive**. Browsing/searching possible.###### randomized smoothing

Lectures
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12 Jan '21

Hello,
I don't understand this explanation. So we have a point x that has expected value of clas…

###### Data augmentation

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73
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2
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11 Jan '21

In lecture 9b (Data augmentation for neural networks), is the rotation of the numbers here (Data au…

###### Why does adding w*sgn(w) subject perturbed data to upper bound of max norm (epsilon)?

Lectures
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1
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7 Jan '21

In the paper describing the fast gradient sign method, the authors explain why adversarial samples …

###### Adversarial training and Randomized smoothing

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3 Jan '21

Hello! I have two questions related to the lecture about Adversarial ML.
1. In the paragraph abou…

###### Adversarial risk in high dimension

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121
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29 Dec '20

Hello,
I have a question regarding adversarial risk in high dimension. Based on the first exampl…

###### Randomised Smoothing: Upper bound on allowed perturbation

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118
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24 Nov '20

I was wondering what is the relationship between the maximum scale of the adversarial perturbation …

###### Lecture notes (9c - page 19) - Why is there twice a min?

Lectures
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66
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2
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23 Nov '20

Hi,
I don't understand why we have two mins over theta in the lecture notes...
![Screenshot 2…

###### Typo in lecture notes (9c, page 11)

Lectures
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62
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22 Nov '20

Hi,
![Screenshot 2020-11-22 at 19.00.04.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/image…

###### Proof Spherical cap distribution

Lectures
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20 Nov '20

Hi
I have a problem understanding why the normal distribution is a good approximation of the unif…

###### tail of gaussian distrib

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65
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2
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17 Nov '20

![Screenshot_20201117_194839.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/images/287/6924fa1d…

###### Spherical cap case

Lectures
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17 Nov '20

Good afternoon,
I have a question about the spherical cap example to explain how we can get a very…

###### Cap demonstration - some questions

Lectures
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71
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17 Nov '20

Hi! There's a detail I can't get from the demonstration seen in the last lecture, about the sphere …

###### Cross validation for neural networks

Lectures
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3
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16 Nov '20

Good morning,
I had a more general question on neural networks.
I was wondering how to perform cr…

###### Adversial update

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12 Nov '20

Hi
Looking at the lecture notes, I came across this equation with a footnote I am unable to unde…

###### Adversarial - last demonstration

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12 Nov '20

Hey, for the demonstration about the Adversarial risk vs the True risk of the lecture about adversa…

###### adversarial - robustness part of lecture

Lectures
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12 Nov '20

I have a question regarding this transformation in page 10 of lecture09c_adversarial
x = (x1, · · …

###### Youtube error

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12 Nov '20

Good morning,
I was going to watch the second part of the video for today's course and youtube do…

###### Dropout method for disconnected networks

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64
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12 Nov '20

Hello,
I was wondering how would the subnetwork be trained in the case it is disconnected (figu…

###### The definition of signal

Lectures
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61
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12 Nov '20

Hi,
In the Adversarial ML lecture (robust and nonrobust feature) mentioned that"The first compon…

###### Analysis of the bayes classifier: scaling everything by a constant

Lectures
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10 Nov '20

Hi,
I have a question concerning the end of the analysis of the bayes classifier using all featu…