… these attacks have required significant human ingenuity and are brittle in practice. Attempts
at automatic adversarial … and effective attack method that causes aligned language models to …

… of generalizable adversarial examples, we propose using set-level alignmentpreserving …
Accelerating vision-language pretraining with free language modeling. In Proceedings of …

… Vision-language models form the cornerstone of a wide … proposed to learn aligned VLP
models that generate embeddings … Effective and Transferable Universal Adversarial Attack (ETU…

… attacks are simply not powerful enough to distinguish between robust and non-robust defenses:
even when we guarantee that an adversarial input on the language model … will transfer …

… to use prompting chaining to generate transferable adversarial attacks in the form of question-…
Finally, we find that the adversarial examples generated by our method are transferable …

… Triggers are seen to transfer across models. We observe that this transferability occurs
across a number of models using the same tokenization algorithm. This behavior has also been …

… Considering that VLP models rely more on aligned … [58],which are universal adversarial attack
defense methods.For … Tang, “Glm:General language model pretraining with autoregressive …

… model to align the embedding dimension of the target model (d2… universal adversarial suffixes
while preserving the ability of … transferable adversarial suffixes to attack black box models, …

… on multiple Large vision-language Models (LVLM), such as … , ie, the transferable adversarial
attack which involves … we align with TMM [14] and consider some universal defense …

… fluent and effective adversarial attacks [155]. MHA is based on language model and
Metropolis… model, but is also highly transferable to another model Show-Attend-and-Tell [147]. …