IEEE

Physical Adversarial Example in Car Plate Recognition Systems Based on SA Algorithm

Abstract: Currently, deep learning technology has become a crucial branch of artificial intelligence, particularly in consumer electronics, where it brings numerous innovative applications through ...
IEEE

An Adversarial Example Defense Algorithm for Intelligent Driving

Abstract: In terms of intelligent driving, the adversarial example of an attack against traffic signs will cause the vehicle to make wrong judgments and decisions. However, the existing adversarial ...
GitHub

adversarial-example

Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.
note

・敵対的攻撃：訓練後のモデルに摂動を加えたデータ（Adversarial Example;

敵対的サンプル）を入力し、誤分類させること ブラックボックス問題：AIの仕組みや予測の根拠の説明が難しいという問題 ...
EurekAlert!

A prompt-based approach to adversarial example generation and robustness enhancement

Recent years have seen the wide application of NLP models in crucial areas such as finance, medical treatment, and news media, raising concerns about the model robustness. Existing methods are mainly ...
The Verge

This colorful printed patch makes you pretty much invisible to AI

The patch only fools a specific algorithm, but researchers are working on more flexible solutions The patch only fools a specific algorithm, but researchers are working on more flexible solutions is a ...
GitHub

rohith2011/ADVERSARIAL-EXAMPLE-GENERATION-FOR-PCB-DATA

Contribute to rohith2011/ADVERSARIAL-EXAMPLE-GENERATION-FOR-PCB-DATA development by creating an account on GitHub.
The Next Web

How to protect your machine learning models against adversarial attacks

Machine learning has become an important component of many applications we use today. And adding machine learning capabilities to applications is becoming increasingly easy. Many ML libraries and ...