A Tutorial on Attacking DNNs using Adversarial Examples.

A Tutorial on Attacking DNNs using Adversarial Examples.

Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit FlippingПодробнее

Stealthy Attack on Algorithmic-Protected DNNs via Smart Bit Flipping

Timing Black-Box Attacks: Crafting Adversarial Examples through Timing Leaks against DNNs on Em...Подробнее

Timing Black-Box Attacks: Crafting Adversarial Examples through Timing Leaks against DNNs on Em...

Understanding Adversarial Examples From the Mutual Influence of Images and PerturbationsПодробнее

Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous DrivingПодробнее

PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving

What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Te...Подробнее

What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Te...

DL4CV@WIS (Spring 2021) Tutorial 6: Adversarial ExamplesПодробнее

DL4CV@WIS (Spring 2021) Tutorial 6: Adversarial Examples

NDSS 2020 CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial ExamplesПодробнее

NDSS 2020 CloudLeak: Large-Scale Deep Learning Models Stealing Through Adversarial Examples

[GreHack 2017] Efficient Defenses against Adversarial Examples for Deep Neural NetworksПодробнее

[GreHack 2017] Efficient Defenses against Adversarial Examples for Deep Neural Networks

Attacking Machine Learning: On the Security and Privacy of Neural NetworksПодробнее

Attacking Machine Learning: On the Security and Privacy of Neural Networks

Adversarial example using FGSMПодробнее

Adversarial example using FGSM