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

Evaluation and Results

Measurement Metrics and Datasets

Results

Discussion and Future Work

One pixel attack for fooling deep neural networks

Contents

Presented by

Introduction

Methodology

Evaluation and Results

Measurement Metrics and Datasets

Results

Discussion and Future Work

Navigation menu

One pixel attack for fooling deep neural networks

Presented by

Introduction

Methodology

Evaluation and Results

Measurement Metrics and Datasets

Results

Discussion and Future Work

Navigation menu

Search