Results 91 to 100 of about 177,286 (215)

DLA: Dense-Layer-Analysis for Adversarial Example Detection [PDF]

open access: green, 2020
Philip Sperl   +4 more
openalex   +1 more source

Adversarial Examples in Image Forensics [PDF]

open access: hybrid, 2022
Mauro Barni   +3 more
openalex   +1 more source

Adversarial Examples Are Not Bugs, They Are Features

open access: yesCoRR, 2019
Adversarial examples have attracted significant attention in machine learning, but the reasons for their existence and pervasiveness remain unclear. We demonstrate that adversarial examples can be directly attributed to the presence of non-robust features: features derived from patterns in the data distribution that are highly predictive, yet brittle ...
Ilyas, A   +5 more
openaire   +3 more sources

SAR-SPA: Incorporating Target Scattering Characteristic Parameters in Adversarial Example Generation for SAR Imagery

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Deep neural networks (DNNs)-based SAR target recognition models are susceptible to adversarial examples, which significantly reduce model robustness. Current methods for generating adversarial examples for SAR imagery primarily operate in the 2-D digital
Jiahao Cui   +5 more
doaj   +1 more source

Research on Image Adversarial Example Generation Method Based on SE-AdvGAN [PDF]

open access: yesJisuanji gongcheng
Adversarial examples are crucial for evaluating the robustness of Deep Neural Network (DNN) and revealing their potential security risks. The adversarial example generation method based on a Generative Adversarial Network (GAN), AdvGAN, has made ...
ZHAO Hong, SONG Furong, LI Wengai
doaj   +1 more source

A New Kind of Adversarial Example

open access: yesCoRR, 2022
Almost all adversarial attacks are formulated to add an imperceptible perturbation to an image in order to fool a model. Here, we consider the opposite which is adversarial examples that can fool a human but not a model. A large enough and perceptible perturbation is added to an image such that a model maintains its original decision, whereas a human ...
openaire   +2 more sources

Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input [PDF]

open access: green, 2022
Junyoung Byun   +4 more
openalex   +1 more source

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