FEAT: Add MSTS multimodal safety dataset loader

doc/bibliography.md

@@ -5,6 +5,6 @@ All academic papers, research blogs, and technical reports referenced throughout
 :::{dropdown} Citation Keys
 :class: hidden-citations
 
-[@aakanksha2024multilingual; @adversaai2023universal; @andriushchenko2024tense; @anthropic2024manyshot; @aqrawi2024singleturncrescendo; @bethany2024mathprompt; @bhardwaj2023harmfulqa; @bryan2025agentictaxonomy; @bullwinkel2025airtlessons; @bullwinkel2025repeng; @bullwinkel2026trigger; @chao2023pair; @chao2024jailbreakbench; @cui2024orbench; @darkbench2025; @derczynski2024garak; @ding2023wolf; @embracethered2024unicode; @embracethered2025sneakybits; @ghosh2025aegis; @gupta2024walledeval; @haider2024phi3safety; @han2024medsafetybench; @hines2024spotlighting; @ji2023beavertails; @ji2024pkusaferlhf; @jiang2025sosbench; @jones2025computeruse; @kingma2014adam; @li2024saladbench; @li2024wmdp; @lin2023toxicchat; @liu2024flipattack; @lopez2024pyrit; @lv2024codechameleon; @mazeika2023tdc; @mazeika2024harmbench; @mckee2024transparency; @mehrotra2023tap; @microsoft2024skeletonkey; @palaskar2025vlsu; @pfohl2024equitymedqa; @promptfoo2025ccp; @robustintelligence2024bypass; @roccia2024promptintel; @rottger2023xstest; @russinovich2024crescendo; @russinovich2025price; @scheuerman2025transphobia; @shayegani2025computeruse; @shen2023donotanything; @sheshadri2024lat; @stok2023ansi; @tan2026comicjailbreak; @tang2025multilingual; @tedeschi2024alert; @vantaylor2024socialbias; @vidgen2023simplesafetytests; @vidgen2024ailuminate; @wang2023decodingtrust; @wang2023donotanswer; @wei2023jailbroken; @xie2024sorrybench; @yu2023gptfuzzer; @yuan2023cipherchat; @zeng2024persuasion; @zhang2024cbtbench; @zou2023gcg]
+[@aakanksha2024multilingual; @adversaai2023universal; @andriushchenko2024tense; @anthropic2024manyshot; @aqrawi2024singleturncrescendo; @bethany2024mathprompt; @bhardwaj2023harmfulqa; @bryan2025agentictaxonomy; @bullwinkel2025airtlessons; @bullwinkel2025repeng; @bullwinkel2026trigger; @chao2023pair; @chao2024jailbreakbench; @cui2024orbench; @darkbench2025; @derczynski2024garak; @ding2023wolf; @embracethered2024unicode; @embracethered2025sneakybits; @ghosh2025aegis; @gupta2024walledeval; @haider2024phi3safety; @han2024medsafetybench; @hines2024spotlighting; @ji2023beavertails; @ji2024pkusaferlhf; @jiang2025sosbench; @jones2025computeruse; @kingma2014adam; @li2024saladbench; @li2024wmdp; @lin2023toxicchat; @liu2024flipattack; @lopez2024pyrit; @lv2024codechameleon; @mazeika2023tdc; @mazeika2024harmbench; @mckee2024transparency; @mehrotra2023tap; @microsoft2024skeletonkey; @palaskar2025vlsu; @pfohl2024equitymedqa; @promptfoo2025ccp; @robustintelligence2024bypass; @roccia2024promptintel; @rottger2023xstest; @rottger2025msts; @russinovich2024crescendo; @russinovich2025price; @scheuerman2025transphobia; @shayegani2025computeruse; @shen2023donotanything; @sheshadri2024lat; @stok2023ansi; @tan2026comicjailbreak; @tang2025multilingual; @tedeschi2024alert; @vantaylor2024socialbias; @vidgen2023simplesafetytests; @vidgen2024ailuminate; @wang2023decodingtrust; @wang2023donotanswer; @wei2023jailbroken; @xie2024sorrybench; @yu2023gptfuzzer; @yuan2023cipherchat; @zeng2024persuasion; @zhang2024cbtbench; @zou2023gcg]
 
 :::

doc/references.bib

@@ -538,6 +538,14 @@ @article{rottger2023xstest
   url       = {https://arxiv.org/abs/2308.01263},
 }
 
+@article{rottger2025msts,
+  title     = {{MSTS}: A Multimodal Safety Test Suite for Vision-Language Models},
+  author    = {Paul R{\"o}ttger and Giuseppe Attanasio and Felix Friedrich and Janis Goldzycher and Alicia Parrish and Rishabh Bhardwaj and Chiara Di Bonaventura and Roman Eng and Gaia El Khoury Geagea and Sujata Goswami and Jieun Han and Dirk Hovy and Seogyeong Jeong and Paloma Jereti{\v{c}} and Flor Miriam Plaza-del-Arco and Donya Rooein and Patrick Schramowski and Anastassia Shaitarova and Xudong Shen and Richard Willats and Andrea Zugarini and Bertie Vidgen},
+  journal   = {arXiv preprint arXiv:2501.10057},
+  year      = {2025},
+  url       = {https://arxiv.org/abs/2501.10057},
+}
+
 @article{zong2024vlguard,
   title     = {Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large Language Models},
   author    = {Yongshuo Zong and Ondrej Bohdal and Tingyang Yu and Yongxin Yang and Timothy Hospedales},

pyrit/datasets/seed_datasets/remote/__init__.py

@@ -63,6 +63,9 @@
 from pyrit.datasets.seed_datasets.remote.mlcommons_ailuminate_dataset import (
     _MLCommonsAILuminateDataset,
 )  # noqa: F401
+from pyrit.datasets.seed_datasets.remote.msts_dataset import (
+    _MSTSDataset,
+)  # noqa: F401
 from pyrit.datasets.seed_datasets.remote.multilingual_vulnerability_dataset import (  # noqa: F401
     _MultilingualVulnerabilityDataset,
 )
@@ -155,6 +158,7 @@
     "_LLMLatentAdversarialTrainingDataset",
     "_MedSafetyBenchDataset",
     "_MLCommonsAILuminateDataset",
+    "_MSTSDataset",
     "_MultilingualVulnerabilityDataset",
     "_ORBench80KDataset",
     "_ORBenchHardDataset",