@misc{https://doi.org/10.48550/arxiv.2406.13352,
  doi = {10.48550/ARXIV.2406.13352},
  url = {https://arxiv.org/abs/2406.13352},
  author = {Debenedetti, Edoardo and Zhang, Jie and Balunović, Mislav and Beurer-Kellner, Luca and Fischer, Marc and Tramèr, Florian},
  keywords = {Cryptography and Security (cs.CR), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM Agents},
  publisher = {arXiv},
  year = {2024},
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@misc{https://doi.org/10.48550/arxiv.2503.18813,
  doi = {10.48550/ARXIV.2503.18813},
  url = {https://arxiv.org/abs/2503.18813},
  author = {Debenedetti, Edoardo and Shumailov, Ilia and Fan, Tianqi and Hayes, Jamie and Carlini, Nicholas and Fabian, Daniel and Kern, Christoph and Shi, Chongyang and Terzis, Andreas and Tramèr, Florian},
  keywords = {Cryptography and Security (cs.CR), Artificial Intelligence (cs.AI), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Defeating Prompt Injections by Design},
  publisher = {arXiv},
  year = {2025},
  copyright = {Creative Commons Attribution 4.0 International}
}


@misc{https://doi.org/10.48550/arxiv.1606.07042,
  doi = {10.48550/ARXIV.1606.07042},
  url = {https://arxiv.org/abs/1606.07042},
  author = {Gao, Alice and Wright, James R. and Leyton-Brown, Kevin},
  keywords = {Computer Science and Game Theory (cs.GT), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Incentivizing Evaluation via Limited Access to Ground Truth: Peer-Prediction Makes Things Worse},
  publisher = {arXiv},
  year = {2016},
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@misc{https://doi.org/10.48550/arxiv.1908.04756,
  doi = {10.48550/ARXIV.1908.04756},
  url = {https://arxiv.org/abs/1908.04756},
  author = {Teutsch, Jason and Reitwießner, Christian},
  keywords = {Cryptography and Security (cs.CR), Theoretical Economics (econ.TH), FOS: Computer and information sciences, FOS: Computer and information sciences, FOS: Economics and business, FOS: Economics and business, 68M14, 91-04},
  title = {A scalable verification solution for blockchains},
  publisher = {arXiv},
  year = {2019},
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@misc{https://doi.org/10.48550/arxiv.2312.06942,
  doi = {10.48550/ARXIV.2312.06942},
  url = {https://arxiv.org/abs/2312.06942},
  author = {Greenblatt, Ryan and Shlegeris, Buck and Sachan, Kshitij and Roger, Fabien},
  keywords = {Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {AI Control: Improving Safety Despite Intentional Subversion},
  publisher = {arXiv},
  year = {2023},
  copyright = {Creative Commons Attribution 4.0 International}
}


@misc{https://doi.org/10.48550/arxiv.2001.00973,
  doi = {10.48550/ARXIV.2001.00973},
  url = {https://arxiv.org/abs/2001.00973},
  author = {Raji, Inioluwa Deborah and Smart, Andrew and White, Rebecca N. and Mitchell, Margaret and Gebru, Timnit and Hutchinson, Ben and Smith-Loud, Jamila and Theron, Daniel and Barnes, Parker},
  keywords = {Computers and Society (cs.CY), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing},
  publisher = {arXiv},
  year = {2020},
  copyright = {arXiv.org perpetual, non-exclusive license}
}


@misc{https://doi.org/10.48550/arxiv.2311.14125,
  doi = {10.48550/ARXIV.2311.14125},
  url = {https://arxiv.org/abs/2311.14125},
  author = {Brown-Cohen, Jonah and Irving, Geoffrey and Piliouras, Georgios},
  keywords = {Artificial Intelligence (cs.AI), Machine Learning (cs.LG), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Scalable AI Safety via Doubly-Efficient Debate},
  publisher = {arXiv},
  year = {2023},
  copyright = {arXiv.org perpetual, non-exclusive license}
}


 @inbook{Douceur_2002, title={The Sybil Attack}, ISBN={9783540457480}, ISSN={0302-9743}, url={http://dx.doi.org/10.1007/3-540-45748-8_24}, DOI={10.1007/3-540-45748-8_24}, booktitle={Peer-to-Peer Systems}, publisher={Springer Berlin Heidelberg}, author={Douceur, John R.}, year={2002}, pages={251–260} }


 @book{Cong_2020, title={Tokenomics: Dynamic Adoption and Valuation}, url={http://dx.doi.org/10.3386/w27222}, DOI={10.3386/w27222}, institution={National Bureau of Economic Research}, author={Cong, Lin William and Li, Ye and Wang, Neng}, year={2020}, month=May }


@misc{https://doi.org/10.48550/arxiv.2606.07434,
  doi = {10.48550/ARXIV.2606.07434},
  url = {https://arxiv.org/abs/2606.07434},
  author = {Hossain, Safwan and Andrade, Gabriel and Zang, Chengqi and Chen, Yiling},
  keywords = {Computer Science and Game Theory (cs.GT), FOS: Computer and information sciences, FOS: Computer and information sciences},
  title = {Evidence Markets},
  publisher = {arXiv},
  year = {2026},
  copyright = {Creative Commons Attribution 4.0 International}
}
