1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2026★ 1 cited
Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods
Roozbeh Razavi-Far, Mohammad Meymani, Erfan Mahmoudinia +6
Machine learning has revolutionized numerous industrial domains. Despite recent advances, machine learning models remain vulnerable to adversarial threats. Adversarial machine lear…
cs.LG2025
MemLoss: Enhancing Adversarial Training with Recycling Adversarial Examples
Soroush Mahdi, Maryam Amirmazlaghani, Saeed Saravani +1
In this paper, we propose a new approach called MemLoss to improve the adversarial training of machine learning models. MemLoss leverages previously generated adversarial examples,…