Zoky-2020 / SGAView external linksLinks
Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]
☆71Sep 6, 2023Updated 2 years ago
Alternatives and similar repositories for SGA
Users that are interested in SGA are comparing it to the libraries listed below
Sorting:
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆65Mar 20, 2023Updated 2 years ago
- [ECCV2024] Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajector…☆30Nov 15, 2025Updated 2 months ago
- [ICCV-2025] Universal Adversarial Attack, Multimodal Adversarial Attacks, VLP models, Contrastive Learning, Cross-modal Perturbation Gene…☆35Jul 10, 2025Updated 7 months ago
- ☆20Jan 15, 2024Updated 2 years ago
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…☆66Mar 22, 2025Updated 10 months ago
- [NeurIPS-2023] Annual Conference on Neural Information Processing Systems☆227Dec 22, 2024Updated last year
- [ICCV 2023] Structure Invariant Transformation for better Adversarial Transferability☆25Feb 23, 2024Updated last year
- TransferAttack is a pytorch framework to boost the adversarial transferability for image classification.☆440Jan 16, 2026Updated 3 weeks ago
- Code for Semantic-Aligned Adversarial Evolution Triangle for High-Transferability Vision-Language Attack(TPAMI 2025)☆43Aug 28, 2025Updated 5 months ago
- ☆23Apr 10, 2023Updated 2 years ago
- ☆37Jul 3, 2024Updated last year
- ☆15Dec 10, 2024Updated last year
- ☆109Feb 16, 2024Updated last year
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆57Dec 20, 2024Updated last year
- ☆80Jul 23, 2024Updated last year
- Universal Adversarial Perturbations for Vision-Language Pre-trained Models☆24Aug 8, 2025Updated 6 months ago
- The official Pytorch implementation of paper "FedSoup: Improving Generalization and Personalization in Federated Learning via Selective M…☆18Apr 14, 2024Updated last year
- [NeurIPS 2023] Boosting Adversarial Transferability by Achieving Flat Local Maxima☆34Feb 23, 2024Updated last year
- [ACM MM 2023] Improving the Transferability of Adversarial Examples with Arbitrary Style Transfer.☆22Feb 23, 2024Updated last year
- Cross-Modal Transferable Adversarial Attacks from Images to Videos (CVPR 2022)☆20Jul 3, 2024Updated last year
- [ICML 2024] Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models☆156Jun 5, 2025Updated 8 months ago
- ☆55Dec 7, 2024Updated last year
- Pytorch implementation for the pilot study on the robustness of latent diffusion models.☆13Jun 20, 2023Updated 2 years ago
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …☆38Oct 17, 2024Updated last year
- The official implementation of paper "Can Textual Gradient Work in Federated Learning?" accepted at ICLR 2025☆16Mar 10, 2025Updated 11 months ago
- Repository for the Paper (AAAI 2024, Oral) --- Visual Adversarial Examples Jailbreak Large Language Models☆266May 13, 2024Updated last year
- [ECCV'24 Oral] The official GitHub page for ''Images are Achilles' Heel of Alignment: Exploiting Visual Vulnerabilities for Jailbreaking …☆34Oct 23, 2024Updated last year
- [CVPR23W] "A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion" by Haomin Zhuang, Yihua Zhang and Sijia Liu☆26Aug 27, 2024Updated last year
- [BMVC 2023] Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning☆17Sep 1, 2023Updated 2 years ago
- Official codes for GRA (Accepted by ICCV2023)☆17Jul 18, 2023Updated 2 years ago
- ☆45Jun 11, 2023Updated 2 years ago
- The official repo for the paper "An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability"☆44Oct 12, 2023Updated 2 years ago
- ☆16Jul 25, 2022Updated 3 years ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆25May 29, 2024Updated last year
- Evaluate robustness of adaptation methods on large vision-language models☆19Aug 23, 2023Updated 2 years ago
- ☆57Jun 5, 2024Updated last year
- [ECCV2024] Reflective Instruction Tuning: Mitigating Hallucinations in Large Vision-Language Models☆20Jul 17, 2024Updated last year
- The implementation of our ACM MM 2023 paper "AdvCLIP: Downstream-agnostic Adversarial Examples in Multimodal Contrastive Learning"☆97Aug 25, 2023Updated 2 years ago
- [ECCV-2024] Transferable Targeted Adversarial Attack, CLIP models, Generative adversarial network, Multi-target attacks☆38Apr 23, 2025Updated 9 months ago