Cap6412 21spring Introduction Lecture 1

Media Summary: So as we as we discussed you know there are the different norms l1 l2 l2 is euclid normal infinity and you know other ... this presentation we're going to go over the ... dr shah has already touched upon this in the second

Cap6412 21spring Introduction Lecture 1 - Detailed Analysis & Overview

So as we as we discussed you know there are the different norms l1 l2 l2 is euclid normal infinity and you know other ... this presentation we're going to go over the ... dr shah has already touched upon this in the second CAP6412 21Spring-Explaining and harnessing adversarial examples Just to outline the presentation for today we're going to start off with an abstract of the work and then dive into the ... I actually will be leveraging some of these for this

CAP6412 21Spring-Contrastive Learning with Adversarial Examples CAP6412 21Spring-Towards deep learning models resistant to adversarial attacks Our members are Mal Sanjay Kasun Den and Mi Uh our presentation basically uh divide into uh four parts

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CAP6412 21Spring-Introduction Lecture -1

CAP6412 21Spring-Introduction Lecture -2

CAP6412 21Spring-Adversarial Self-Supervised Contrastive Learning

CAP6412 21Spring-Intriguing properties of neural networks

CAP6412 21Spring-Explaining and harnessing adversarial examples

CAP6412 21Spring-Robust Pre-Training by Adversarial Contrastive Learning

CAP6412 21Spring-Fast is better than free: Revisiting adversarial training

Lecture 1 - Introduction

Lecture 1 - Introduction

CAP6412 21Spring-Contrastive Learning with Adversarial Examples

CAP6412 21Spring-Towards deep learning models resistant to adversarial attacks

lecture 21 CAP6412

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CAP6412 21Spring-Introduction Lecture -1

CAP6412 21Spring-Introduction Lecture -1

So as we as we discussed you know there are the different norms l1 l2 l2 is euclid normal infinity and you know other

CAP6412 21Spring-Introduction Lecture -2

CAP6412 21Spring-Introduction Lecture -2

Just a recap of the last

CAP6412 21Spring-Adversarial Self-Supervised Contrastive Learning

CAP6412 21Spring-Adversarial Self-Supervised Contrastive Learning

... this presentation we're going to go over the

CAP6412 21Spring-Intriguing properties of neural networks

CAP6412 21Spring-Intriguing properties of neural networks

... dr shah has already touched upon this in the second

CAP6412 21Spring-Explaining and harnessing adversarial examples

CAP6412 21Spring-Explaining and harnessing adversarial examples

CAP6412 21Spring-Explaining and harnessing adversarial examples

CAP6412 21Spring-Robust Pre-Training by Adversarial Contrastive Learning

CAP6412 21Spring-Robust Pre-Training by Adversarial Contrastive Learning

But the case is opposite if we are using

CAP6412 21Spring-Fast is better than free: Revisiting adversarial training

CAP6412 21Spring-Fast is better than free: Revisiting adversarial training

Just to outline the presentation for today we're going to start off with an abstract of the work and then dive into the

Lecture 1 - Introduction

Lecture 1 - Introduction

... I actually will be leveraging some of these for this

Lecture 1 - Introduction

Lecture 1 - Introduction

... planned so I'll have

CAP6412 21Spring-Contrastive Learning with Adversarial Examples

CAP6412 21Spring-Contrastive Learning with Adversarial Examples

CAP6412 21Spring-Contrastive Learning with Adversarial Examples

CAP6412 21Spring-Towards deep learning models resistant to adversarial attacks

CAP6412 21Spring-Towards deep learning models resistant to adversarial attacks

CAP6412 21Spring-Towards deep learning models resistant to adversarial attacks

lecture 21 CAP6412

lecture 21 CAP6412

Our members are Mal Sanjay Kasun Den and Mi Uh our presentation basically uh divide into uh four parts