FOA-Attack is proposed to enhance adversarial transferability in multimodal large language models by optimizing both global and local feature alignments using cosine similarity and optimal transport.
Dependencies: To install requirements:
pip install -r requirements.txt
python generate_adversarial_samples_foa_attack.py
python blackbox_text_generation.py -m blackbox.model_name=gpt4o,claude,gemini
python gpt_evaluate.py -m blackbox.model_name=gpt4o,claude,gemini
python keyword_matching_gpt.py -m blackbox.model_name=gpt4o,claude,gemini
python FOAttack.py
This project is built on M-Attack. We sincerely thank them for their outstanding work.
8 commits
Python
100.0%
FOA-Attack is proposed to enhance adversarial transferability in multimodal large language models by optimizing both global and local feature alignments using cosine similarity and optimal transport.
Dependencies: To install requirements:
pip install -r requirements.txt
python generate_adversarial_samples_foa_attack.py
python blackbox_text_generation.py -m blackbox.model_name=gpt4o,claude,gemini
python gpt_evaluate.py -m blackbox.model_name=gpt4o,claude,gemini
python keyword_matching_gpt.py -m blackbox.model_name=gpt4o,claude,gemini
python FOAttack.py
This project is built on M-Attack. We sincerely thank them for their outstanding work.
8 commits
Python
100.0%