most citedSet-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models

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

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2 papers

cs.CV2023★ 2 cited

Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models

Dong Lu, Zhiqiang Wang, Teng Wang +3

Vision-language pre-training (VLP) models have shown vulnerability to adversarial examples in multimodal tasks. Furthermore, malicious adversaries can be deliberately transferred t…

cs.CV2023

-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation

Chengyue Wu, Teng Wang, Yixiao Ge +4

Foundation models have achieved great advances in multi-task learning with a unified interface of unimodal and multimodal tasks. However, the potential of such multi-task learners…