randomized smoothing
Lectures · 67 · 1 · 12 Jan '21
Hello, I don't understand this explanation. So we have a point x that has expected value of clas…
Data augmentation
Lectures · 73 · 2 · 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 · 53 · 1 · 7 Jan '21
In the paper describing the fast gradient sign method, the authors explain why adversarial samples …
Adversarial training and Randomized smoothing
Lectures · 96 · 1 · 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
Lectures · 121 · 2 · 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
Lectures · 118 · 3 · 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 · 66 · 2 · 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 · 62 · 3 · 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 · 72 · 2 · 20 Nov '20
Hi I have a problem understanding why the normal distribution is a good approximation of the unif…
tail of gaussian distrib
Lectures · 65 · 2 · 17 Nov '20
![Screenshot_20201117_194839.jpg](https://oknoname-crm1.s3.amazonaws.com/spirit/images/287/6924fa1d…
Spherical cap case
Lectures · 101 · 4 · 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 · 71 · 2 · 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 · 89 · 3 · 16 Nov '20
Good morning, I had a more general question on neural networks. I was wondering how to perform cr…
Adversial update
Lectures · 95 · 2 · 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
Lectures · 77 · 2 · 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 · 84 · 3 · 12 Nov '20
I have a question regarding this transformation in page 10 of lecture09c_adversarial x = (x1, · · …
Youtube error
Lectures · 78 · 4 · 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
Lectures · 64 · 5 · 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 · 61 · 2 · 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 · 74 · 3 · 10 Nov '20
Hi, I have a question concerning the end of the analysis of the bayes classifier using all featu…