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cs.CV2024
Two Heads Are Better Than One: Averaging along Fine-Tuning to Improve Targeted Transferability
Hui Zeng, Sanshuai Cui, Biwei Chen +1
With much longer optimization time than that of untargeted attacks notwithstanding, the transferability of targeted attacks is still far from satisfactory. Recent studies reveal th…
cs.CV2024
Enhancing targeted transferability via feature space fine-tuning
Hui Zeng, Biwei Chen, Anjie Peng
Adversarial examples (AEs) have been extensively studied due to their potential for privacy protection and inspiring robust neural networks. Yet, making a targeted AE transferable…