Picture for Kristin Barber

Kristin Barber

DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning

Add code
Jul 31, 2022
Figure 1 for DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Figure 2 for DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Figure 3 for DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Figure 4 for DNNShield: Dynamic Randomized Model Sparsification, A Defense Against Adversarial Machine Learning
Viaarxiv icon

Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks

Add code
Aug 06, 2021
Figure 1 for Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks
Figure 2 for Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks
Figure 3 for Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks
Figure 4 for Using Undervolting as an On-Device Defense Against Adversarial Machine Learning Attacks
Viaarxiv icon

HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks

Add code
Jun 09, 2021
Figure 1 for HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
Figure 2 for HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
Figure 3 for HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
Figure 4 for HASI: Hardware-Accelerated Stochastic Inference, A Defense Against Adversarial Machine Learning Attacks
Viaarxiv icon