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

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(Methodology)
(Methodology)
Line 15: Line 15:
  
 
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.
Let <math>\bold{x}<math> be the vectorized form of an image. Let <math>f_t(\bold{x})</math>
+
Let <math>\textbf{x}</math> be the vectorized form of an image. Let <math>f_t(\textbf{x})</math> be
  
 
= Evaluation and Results =
 
= Evaluation and Results =

Revision as of 21:55, 25 March 2018

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]\textbf{x}[/math] be the vectorized form of an image. Let [math]f_t(\textbf{x})[/math] be

Evaluation and Results

Measurement Metrics and Datasets

Results

Discussion and Future Work