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The official repository for Set-level Guidance Attack (SGA). ICCV 2023 Oral Paper: Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models (https://arxiv.org/abs/2307.14061)
The main features of zoky-2020/sga are: Multimodal Attacks.
Projects with overlapping indexed features include: adversarial-for-goodness/co-attack — This is the official PyTorch implement of the paper "Towards Adversarial Attack on Vision-Language Pre-training… cgcl-codes/advclip — The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal… ericyinyzy/vlattack — VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models. euanong/image-hijacks — This is the code for Image Hijacks: Adversarial Images can Control Generative Models at Runtime. haochen-luo/cropa — This repository contains the code and data for the paper "An Image Is Worth 1000 Lies: Transferability of Adversarial… kaiyuancui/ultrabreak — ICLR 2026.
The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning"
VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
This is the code for Image Hijacks: Adversarial Images can Control Generative Models at Runtime.
This is the official PyTorch implement of the paper "Towards Adversarial Attack on Vision-Language Pre-training Models" at ACM Multimedia 2022.