2 citations · 2 across the 3 of their papers we have counts for
4 papers
Boundary Adversarial Examples Against Adversarial Overfitting
Muhammad Zaid Hameed, Beat Buesser
Standard adversarial training approaches suffer from robust overfitting where the robust accuracy decreases when models are adversarially trained for too long. The origin of this p…
Less is More: Feature Selection for Adversarial Robustness with Compressive Counter-Adversarial Attacks
Emre Ozfatura, Muhammad Zaid Hameed, Kerem Ozfatura +1
A common observation regarding adversarial attacks is that they mostly give rise to false activation at the penultimate layer to fool the classifier. Assuming that these activation…
Perceptually Constrained Adversarial Attacks
Muhammad Zaid Hameed, Andras Gyorgy
Motivated by previous observations that the usually applied norms () do not capture the perceptual quality of adversarial examples in image classification, we p…
The Best Defense Is a Good Offense: Adversarial Attacks to Avoid Modulation Detection
Muhammad Zaid Hameed, Andras Gyorgy, Deniz Gunduz
We consider a communication scenario, in which an intruder tries to determine the modulation scheme of the intercepted signal. Our aim is to minimize the accuracy of the intruder,…