Exploring robustness connection between artificial and natural adversarial examples
Although recent deep neural network algorithm has shown tremendous success in several
computer vision tasks, their vulnerability against minute adversarial perturbations has raised …
computer vision tasks, their vulnerability against minute adversarial perturbations has raised …
Benchmarking Robustness Beyond Norm Adversaries
Recently, a significant boom has been noticed in the generation of a variety of malicious
examples ranging from adversarial perturbations to common noises to natural adversaries …
examples ranging from adversarial perturbations to common noises to natural adversaries …
Really natural adversarial examples
Abstract The phenomenon of Adversarial Examples has become one of the most intriguing
topics associated to deep learning. The so-called adversarial attacks have the ability to fool …
topics associated to deep learning. The so-called adversarial attacks have the ability to fool …
Interpreting Universal Adversarial Example Attacks on Image Classification Models
Mitigating adversarial deep learning attacks remains challenging, partly because of the ease
and low cost in carrying out such attacks. Therefore, in this article, we focus on the …
and low cost in carrying out such attacks. Therefore, in this article, we focus on the …
[PDF][PDF] Egocentric Data as Natural Adversarial Examples
M Williamson - vision.stanford.edu
Natural adversarial examples [7] have been shown to significantly degrade neural classifier
performance and that today's models have common failure modes such as an over-reliance …
performance and that today's models have common failure modes such as an over-reliance …