Fighting Gradients with Gradients: Dynamic Defenses against Adversarial Attacks

2 code implementations • NeurIPS 2021 • Dequan Wang, An Ju, Evan Shelhamer, David Wagner, Trevor Darrell

Adversarial attacks optimize against models to defeat defenses.

Model-Agnostic Defense for Lane Detection against Adversarial Attack

1 code implementation • 1 Mar 2021 • Henry Xu, An Ju, David Wagner

Susceptibility of neural networks to adversarial attack prompts serious safety concerns for lane detection efforts, a domain where such models have been widely applied.

Adversarial Attack Autonomous Driving +1