# Difference between revisions of "One pixel attack for fooling deep neural networks"

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We first formalize the generation of adversarial images as an constrained optimization problem. | We first formalize the generation of adversarial images as an constrained optimization problem. | ||

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= Evaluation and Results = | = Evaluation and Results = |

## Revision as of 21:49, 25 March 2018

## Contents

# Presented by

1. Ziheng Chu

2. Minghao Lu

3. Qi Mai

4. Qici Tan

# Introduction

# Methodology

We first formalize the generation of adversarial images as an constrained optimization problem. Let [math]f_t[/math]