DeepAI
Log In Sign Up

Adversarial-Playground: A Visualization Suite for Adversarial Sample Generation

06/06/2017
by   Andrew Norton, et al.
0

With growing interest in adversarial machine learning, it is important for machine learning practitioners and users to understand how their models may be attacked. We propose a web-based visualization tool, Adversarial-Playground, to demonstrate the efficacy of common adversarial methods against a deep neural network (DNN) model, built on top of the TensorFlow library. Adversarial-Playground provides users an efficient and effective experience in exploring techniques generating adversarial examples, which are inputs crafted by an adversary to fool a machine learning system. To enable Adversarial-Playground to generate quick and accurate responses for users, we use two primary tactics: (1) We propose a faster variant of the state-of-the-art Jacobian saliency map approach that maintains a comparable evasion rate. (2) Our visualization does not transmit the generated adversarial images to the client, but rather only the matrix describing the sample and the vector representing classification likelihoods. The source code along with the data from all of our experiments are available at <https://github.com/QData/AdversarialDNN-Playground>.

READ FULL TEXT
08/01/2017

Adversarial-Playground: A Visualization Suite Showing How Adversarial Examples Fool Deep Learning

Recent studies have shown that attackers can force deep learning models ...
07/03/2018

Adversarial Robustness Toolbox v0.2.2

Adversarial examples have become an indisputable threat to the security ...
12/02/2019

Deep Neural Network Fingerprinting by Conferrable Adversarial Examples

In Machine Learning as a Service, a provider trains a deep neural networ...
09/14/2020

Robust Deep Learning Ensemble against Deception

Deep neural network (DNN) models are known to be vulnerable to malicious...
10/05/2020

Second-Order NLP Adversarial Examples

Adversarial example generation methods in NLP rely on models like langua...
06/01/2021

The Care Label Concept: A Certification Suite for Trustworthy and Resource-Aware Machine Learning

Machine learning applications have become ubiquitous. This has led to an...
12/12/2019

Automatic Layout Generation with Applications in Machine Learning Engine Evaluation

Machine learning-based lithography hotspot detection has been deeply stu...

Code Repositories

AdversarialDNN-Playground

Web-based visualization tool for adversarial machine learning / LiveDemo


view repo