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cs.CV2024
QuantAttack: Exploiting Dynamic Quantization to Attack Vision Transformers
Amit Baras, Alon Zolfi, Yuval Elovici +1
In recent years, there has been a significant trend in deep neural networks (DNNs), particularly transformer-based models, of developing ever-larger and more capable models. While…
cs.CV2024
DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms in Vision Transformers
Oryan Yehezkel, Alon Zolfi, Amit Baras +2
Vision transformers have contributed greatly to advancements in the computer vision domain, demonstrating state-of-the-art performance in diverse tasks (e.g., image classification,…