Picture for Pascal Schöttle

Pascal Schöttle

Less is More: The Influence of Pruning on the Explainability of CNNs

Add code
Feb 17, 2023
Viaarxiv icon

On the Effect of Adversarial Training Against Invariance-based Adversarial Examples

Add code
Feb 16, 2023
Viaarxiv icon

HE-MAN -- Homomorphically Encrypted MAchine learning with oNnx models

Add code
Feb 16, 2023
Viaarxiv icon

Pruning in the Face of Adversaries

Add code
Aug 19, 2021
Figure 1 for Pruning in the Face of Adversaries
Figure 2 for Pruning in the Face of Adversaries
Figure 3 for Pruning in the Face of Adversaries
Viaarxiv icon

When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples

Add code
Aug 17, 2021
Figure 1 for When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples
Figure 2 for When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples
Figure 3 for When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples
Figure 4 for When Should You Defend Your Classifier -- A Game-theoretical Analysis of Countermeasures against Adversarial Examples
Viaarxiv icon

Machine Unlearning: Linear Filtration for Logit-based Classifiers

Add code
Feb 07, 2020
Figure 1 for Machine Unlearning: Linear Filtration for Logit-based Classifiers
Figure 2 for Machine Unlearning: Linear Filtration for Logit-based Classifiers
Figure 3 for Machine Unlearning: Linear Filtration for Logit-based Classifiers
Figure 4 for Machine Unlearning: Linear Filtration for Logit-based Classifiers
Viaarxiv icon