SRI-CSL / TrinityMultimodalTrojAI
☆35Updated 2 years ago
Alternatives and similar repositories for TrinityMultimodalTrojAI:
Users that are interested in TrinityMultimodalTrojAI are comparing it to the libraries listed below
- Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. [ICCV 2023 Oral]☆53Updated last year
- official PyTorch implement of Towards Adversarial Attack on Vision-Language Pre-training Models☆54Updated last year
- This is an official repository of ``VLAttack: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models'' (NeurIPS 2…☆45Updated 3 months ago
- ☆34Updated 2 months ago
- [ECCV2024] Boosting Transferability in Vision-Language Attacks via Diversification along the Intersection Region of Adversarial Trajector…☆21Updated 3 months ago
- ☆40Updated last year
- ☆65Updated 6 months ago
- [NeurIPS-2023] Annual Conference on Neural Information Processing Systems☆179Updated 2 months ago
- ☆31Updated 7 months ago
- Implementation of BadCLIP https://arxiv.org/pdf/2311.16194.pdf☆18Updated 10 months ago
- ☆12Updated last year
- [CVPR 2023] Backdoor Defense via Adaptively Splitting Poisoned Dataset☆46Updated 10 months ago
- One Prompt Word is Enough to Boost Adversarial Robustness for Pre-trained Vision-Language Models☆45Updated 2 months ago
- ☆31Updated 8 months ago
- AnyDoor: Test-Time Backdoor Attacks on Multimodal Large Language Models☆49Updated 10 months ago
- ☆40Updated 6 months ago
- [ICLR 2024 Spotlight 🔥 ] - [ Best Paper Award SoCal NLP 2023 🏆] - Jailbreak in pieces: Compositional Adversarial Attacks on Multi-Modal…☆38Updated 8 months ago
- Code repository for CVPR2024 paper 《Pre-trained Model Guided Fine-Tuning for Zero-Shot Adversarial Robustness》☆20Updated 8 months ago
- A list of papers in NeurIPS 2022 related to adversarial attack and defense / AI security.☆71Updated 2 years ago
- Code for the paper "Rethinking Stealthiness of Backdoor Attack against NLP Models" (ACL-IJCNLP 2021)☆22Updated 3 years ago
- [ICLR 2024] Inducing High Energy-Latency of Large Vision-Language Models with Verbose Images☆27Updated last year
- CVPR2023: Unlearnable Clusters: Towards Label-agnostic Unlearnable Examples☆21Updated last year
- Universal Adversarial Perturbations for Vision-Language Pre-trained Models☆13Updated 4 months ago
- ☆23Updated last year
- ☆19Updated 5 months ago
- ☆9Updated 5 months ago
- Divide-and-Conquer Attack: Harnessing the Power of LLM to Bypass the Censorship of Text-to-Image Generation Mode☆18Updated this week
- [CVPR23W] "A Pilot Study of Query-Free Adversarial Attack against Stable Diffusion" by Haomin Zhuang, Yihua Zhang and Sijia Liu☆26Updated 5 months ago
- ☆13Updated 2 years ago
- Code for Fast Propagation is Better: Accelerating Single-Step Adversarial Training via Sampling Subnetworks (TIFS2024)☆12Updated 10 months ago