12 citations · 16 across the 4 of their papers we have counts for
4 papers
Membership Inference Attack Using Self Influence Functions
Gilad Cohen, Raja Giryes
Member inference (MI) attacks aim to determine if a specific data sample was used to train a machine learning model. Thus, MI is a major privacy threat to models trained on private…
Simple Post-Training Robustness Using Test Time Augmentations and Random Forest
Gilad Cohen, Raja Giryes
Although Deep Neural Networks (DNNs) achieve excellent performance on many real-world tasks, they are highly vulnerable to adversarial attacks. A leading defense against such attac…
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors
Gilad Cohen, Guillermo Sapiro, Raja Giryes
Deep neural networks (DNNs) are notorious for their vulnerability to adversarial attacks, which are small perturbations added to their input images to mislead their prediction. Det…
DNN or k-NN: That is the Generalize vs. Memorize Question
Gilad Cohen, Guillermo Sapiro, Raja Giryes
This paper studies the relationship between the classification performed by deep neural networks (DNNs) and the decision of various classical classifiers, namely k-nearest neighbou…