The Next Web

What is adversarial machine learning?

To human observers, the following two images are identical. But researchers at Google showed in 2015 that a popular object detection algorithm classified the left image as “panda” and the right one as ...
生物通

基于决策边界优化的多步对抗文本生成方法DBAE研究

本文提出了一种创新的对抗样本生成方法DBAE（Decision Boundary based Adversarial Example generation），通过树状自动编码器（Tree-AE）和粒子群算法（PSO）在向量空间进行决策边界优化，结合条件大语言模型（c-LLM）生成高质量对抗文本。实验表明该方法在RTX 4090显卡上以6.52?
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 ...
ascopubs.org

Using Adversarial Images to Assess the Robustness of Deep Learning Models Trained on ...

HealthTree Cure Hub: A Patient-Derived, Patient-Driven Clinical Cancer Information Platform Used to Overcome Hurdles and Accelerate Research in Multiple Myeloma Adversarial images represent a ...
The Next Web

Researchers have created a new technique to stop adversarial attacks

Did you know Neural is taking the stage this fall? Together with an amazing line-up of experts, we will explore the future of AI during TNW Conference 2021. Secure your ticket now! There’s growing ...
Fast Company

Trippy Stickers Trick Computers Into Thinking A Banana Is A Toaster

The algorithms that computers use to determine what objects are–a cat, a dog, or a toaster, for instance–have a vulnerability. This vulnerability is called an adversarial example. It’s an image or ...