AI RESEARCH
Adversarial Fine-tuning of Compressed Neural Networks for Joint Improvement of Robustness and Efficiency
arXiv CS.LG
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ArXi:2403.09441v2 Announce Type: replace As deep learning (DL) models are increasingly being integrated into our everyday lives, ensuring their safety by making them robust against adversarial attacks has become increasingly critical. DL models have been found to be susceptible to adversarial attacks by