7 citations · 11 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Interpreting and Improving Attention From the Perspective of Large Kernel Convolution
Chenghao Li, Chaoning Zhang, Boheng Zeng +7
Attention mechanisms have significantly advanced visual models by capturing global context effectively. However, their reliance on large-scale datasets and substantial computationa…
cs.CV2023★ 3 cited
Boosting Adversarial Attacks by Leveraging Decision Boundary Information
Boheng Zeng, LianLi Gao, QiLong Zhang +3
Due to the gap between a substitute model and a victim model, the gradient-based noise generated from a substitute model may have low transferability for a victim model since their…
cs.CV2022★ 7 cited
Frequency Domain Model Augmentation for Adversarial Attack
Yuyang Long, Qilong Zhang, Boheng Zeng +4
For black-box attacks, the gap between the substitute model and the victim model is usually large, which manifests as a weak attack performance. Motivated by the observation that t…