most citedDownstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers

1 citations · 1 across the 2 of their papers we have counts for

collaborators

3 papers

cs.CV2026

UniM: A Unified Any-to-Any Interleaved Multimodal Benchmark

Yanlin Li, Minghui Guo, Kaiwen Zhang +13

In real-world multimodal applications, systems usually need to comprehend arbitrarily combined and interleaved multimodal inputs from users, while also generating outputs in any in…

cs.LG2024

Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks

Yong Xie, Weijie Zheng, Hanxun Huang +2

As deep learning models are increasingly deployed in safety-critical applications, evaluating their vulnerabilities to adversarial perturbations is essential for ensuring their rel…

cs.CV2024★ 1 cited

Downstream Transfer Attack: Adversarial Attacks on Downstream Models with Pre-trained Vision Transformers

Weijie Zheng, Xingjun Ma, Hanxun Huang +2

With the advancement of vision transformers (ViTs) and self-supervised learning (SSL) techniques, pre-trained large ViTs have become the new foundation models for computer vision a…