Generate adversarial images with gradient search

to related objects

Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: Proceedings on Automation in Medical Engineering, 2023

Event: Veröffentlichung

(where): Furtwangen

(who): Hochschule Furtwangen

(when): 2023

Creator: Ding, Ning
Möller, Knut

DOI: 10.18416/AUTOMED.2023

URN: urn:nbn:de:bsz:fn1-opus4-96939

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 14.08.2025, 10:48 AM CEST

Data provider

This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.

Show original at data provider

Associated

Ding, Ning
Möller, Knut
Hochschule Furtwangen

Time of origin

2023

Other Objects (12)

Using adaptive learning rate to generate adversarial images

Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method

Robustness evaluation on different training state of a CNN model

Generating adversarial images to monitor the training state of a CNN model

The Image flip effect on a CNN model classification

Feature space separation by conformity loss driven training of CNN

The effect of feature space separation at different training states of CNN

Fourier Series Model for Facial Feature Point Land-Marking

AI-based solutions in endoscopy image processing : robustness and certification

DACAPO : Data fusion in operating room

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Analysis of expansion within a pressure inflated section of an urethral stricture model

Using adaptive learning rate to generate adversarial images

Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method

Robustness evaluation on different training state of a CNN model

Generating adversarial images to monitor the training state of a CNN model

The Image flip effect on a CNN model classification

Feature space separation by conformity loss driven training of CNN

The effect of feature space separation at different training states of CNN

Fourier Series Model for Facial Feature Point Land-Marking

AI-based solutions in endoscopy image processing : robustness and certification

DACAPO : Data fusion in operating room

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Analysis of expansion within a pressure inflated section of an urethral stricture model

Using adaptive learning rate to generate adversarial images

Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method

Robustness evaluation on different training state of a CNN model

Generating adversarial images to monitor the training state of a CNN model

The Image flip effect on a CNN model classification

Feature space separation by conformity loss driven training of CNN

The effect of feature space separation at different training states of CNN

Fourier Series Model for Facial Feature Point Land-Marking

AI-based solutions in endoscopy image processing : robustness and certification

DACAPO : Data fusion in operating room

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Analysis of expansion within a pressure inflated section of an urethral stricture model

Cultural heritage institutions wishing to register will find more information here.

Fields marked * need to be filled in.

Username*

Please enter your username

Email*

Please enter your email address

Please do not fill this field

First name

Last name

Password*

Please enter your password

Confirm password*

Please enter the same password

I have read the terms of use and the privacy policy for the collection of personal data and accept them. *

This field is required.

I would like to subscribe to the newsletter of the Deutsche Digitale Bibliothek. See newsletter subscription info.

Account created

Your "My DDB" account has been successfully created. Before you can log in to your account, you must click the confirmation link in the message we just sent to the email address you provided.

Generate adversarial images with gradient search

Object Details

Contributors, Places and Time

Further information

Data provider

Associated

Time of origin

Other Objects (12)

Using adaptive learning rate to generate adversarial images

Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method

Robustness evaluation on different training state of a CNN model

Generating adversarial images to monitor the training state of a CNN model

The Image flip effect on a CNN model classification

Feature space separation by conformity loss driven training of CNN

The effect of feature space separation at different training states of CNN

Fourier Series Model for Facial Feature Point Land-Marking

AI-based solutions in endoscopy image processing : robustness and certification

DACAPO : Data fusion in operating room

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Analysis of expansion within a pressure inflated section of an urethral stricture model

Using adaptive learning rate to generate adversarial images

Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method

Robustness evaluation on different training state of a CNN model

Generating adversarial images to monitor the training state of a CNN model

The Image flip effect on a CNN model classification

Feature space separation by conformity loss driven training of CNN

The effect of feature space separation at different training states of CNN

Fourier Series Model for Facial Feature Point Land-Marking

AI-based solutions in endoscopy image processing : robustness and certification

DACAPO : Data fusion in operating room

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Analysis of expansion within a pressure inflated section of an urethral stricture model

Using adaptive learning rate to generate adversarial images

Minimally Distorted Adversarial Images with a Step-Adaptive Iterative Fast Gradient Sign Method

Robustness evaluation on different training state of a CNN model

Generating adversarial images to monitor the training state of a CNN model

The Image flip effect on a CNN model classification

Feature space separation by conformity loss driven training of CNN

The effect of feature space separation at different training states of CNN

Fourier Series Model for Facial Feature Point Land-Marking

AI-based solutions in endoscopy image processing : robustness and certification

DACAPO : Data fusion in operating room

Generative Adversarial Network for Facial Emotion Recognition: A Feasibility Study

Analysis of expansion within a pressure inflated section of an urethral stricture model

Related objects

Reset password