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For safety reasons, large language models (LLMs) are trained to refuse harmful user instructions, such as assisting dangerous activities.
Deep reinforcement learning from human preferences
Paul F Christiano, Jan Leike, Tom Brown, Miljan Martic, Shane Legg, and Dario Amodei · 2017
Earlier work this paper cites.
AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts
Taylor Shin, Yasaman Razeghi, Robert L. Logan IV, Eric Wallace, and Sameer Singh · 2020
Earlier work this paper cites.
Webgpt: Browser-assisted question-answering with human feedback
Reiichiro Nakano, Jacob Hilton, Suchir Balaji, Jeff Wu, Long Ouyang, Christina Kim, Christopher Hesse, Shantanu Jain, Vineet Kosaraju, William Saunders, et al · 2021
Earlier work this paper cites.
Training a helpful and harmless assistant with reinforcement learning from human feedback
Yuntao Bai, Andy Jones, Kamal Ndousse, Amanda Askell, Anna Chen, Nova Dassarma, Dawn Drain, Stanislav Fort, Deep Ganguli, Tom Henighan, Nicholas Joseph, Saurav Kadavath, John Kernion, Tom Conerly, Sheer El-Showk, Nelson Elhage, Zac Hatfield-Dodds, Danny Hernandez, Tristan Hume, Scott Johnston, Shauna Kravec, Liane Lovitt, Neel Nanda, Catherine Olsson, Dario Amodei, Tom B. Brown, Jack Clark, Sam McCandlish, Christopher Olah, Benjamin Mann, and Jared Kaplan · 2022
Earlier work this paper cites.
Red teaming language models to reduce harms: Methods, scaling behaviors, and lessons learned
Deep Ganguli, Liane Lovitt, Jackson Kernion, Amanda Askell, Yuntao Bai, Saurav Kadavath, Ben Mann, Ethan Perez, Nicholas Schiefer, Kamal Ndousse, et al · 2022
Earlier work this paper cites.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al · 2022
Earlier work this paper cites.
Webshop: Towards scalable real-world web interaction with grounded language agents
Shunyu Yao, Howard Chen, John Yang, and Karthik Narasimhan · 2022
Earlier work this paper cites.
Are aligned neural networks adversarially aligned?
Nicholas Carlini, Milad Nasr, Christopher A Choquette-Choo, Matthew Jagielski, Irena Gao, Anas Awadalla, Pang Wei Koh, Daphne Ippolito, Katherine Lee, Florian Tramer, et al · 2023
Earlier work this paper cites.
Jailbreaking black box large language models in twenty queries
Patrick Chao, Alexander Robey, Edgar Dobriban, Hamed Hassani, George J Pappas, and Eric Wong · 2023
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Mind2web: Towards a generalist agent for the web, 2023
Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Samuel Stevens, Boshi Wang, Huan Sun, and Yu Su · 2023
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Mart: Improving llm safety with multi-round automatic red-teaming
Suyu Ge, Chunting Zhou, Rui Hou, Madian Khabsa, Yi-Chia Wang, Qifan Wang, Jiawei Han, and Yuning Mao · 2023
Earlier work this paper cites.
Gemini: A family of highly capable multimodal models, 2023
Google · 2023
Earlier work this paper cites.
An overview of catastrophic ai risks, 2023
Dan Hendrycks, Mantas Mazeika, and Thomas Woodside · 2023
Earlier work this paper cites.
Catastrophic jailbreak of open-source llms via exploiting generation
Yangsibo Huang, Samyak Gupta, Mengzhou Xia, Kai Li, and Danqi Chen · 2023
Earlier work this paper cites.
Llama guard: Llm-based input-output safeguard for human-ai conversations
Hakan Inan, Kartikeya Upasani, Jianfeng Chi, Rashi Rungta, Krithika Iyer, Yuning Mao, Michael Tontchev, Qing Hu, Brian Fuller, Davide Testuggine, et al · 2023
Earlier work this paper cites.
Autodan: Generating stealthy jailbreak prompts on aligned large language models, 2023
Xiaogeng Liu, Nan Xu, Muhao Chen, and Chaowei Xiao · 2023
Earlier work this paper cites.
A holistic approach to undesired content detection in the real world
Todor Markov, Chong Zhang, Sandhini Agarwal, Florentine Eloundou Nekoul, Theodore Lee, Steven Adler, Angela Jiang, and Lilian Weng · 2023
Earlier work this paper cites.
Tree of attacks: Jailbreaking black-box llms automatically, 2023
Anay Mehrotra, Manolis Zampetakis, Paul Kassianik, Blaine Nelson, Hyrum Anderson, Yaron Singer, and Amin Karbasi · 2023
Earlier work this paper cites.
Xinyue Shen, Zeyuan Chen, Michael Backes, Yun Shen, and Yang Zhang · 2023
Earlier work this paper cites.
Jailbroken: How does llm safety training fail?
Alexander Wei, Nika Haghtalab, and Jacob Steinhardt · 2023
Earlier work this paper cites.
Judging llm-as-a-judge with mt-bench and chatbot arena
Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, et al · 2023
Cited alongside, same era.
Webarena: A realistic web environment for building autonomous agents
Shuyan Zhou, Frank F Xu, Hao Zhu, Xuhui Zhou, Robert Lo, Abishek Sridhar, Xianyi Cheng, Tianyue Ou, Yonatan Bisk, Daniel Fried, et al · 2023
Cited alongside, same era.
Universal and transferable adversarial attacks on aligned language models, 2023
Andy Zou, Zifan Wang, J. Zico Kolter, and Matt Fredrikson · 2023
Cited alongside, same era.
Ctibench: A benchmark for evaluating llms in cyber threat intelligence, 2024
Md Tanvirul Alam, Dipkamal Bhusal, Le Nguyen, and Nidhi Rastogi · 2024
Cited alongside, same era.
Jailbreaking leading safety-aligned llms with simple adaptive attacks
Understanding catastrophic forgetting in language models via implicit inference
Suhas Kotha, Jacob Mitchell Springer, and Aditi Raghunathan · 2024
Closest in time.
Llm defenses are not robust to multi-turn human jailbreaks yet
Nathaniel Li, Ziwen Han, Ian Steneker, Willow Primack, Riley Goodside, Hugh Zhang, Zifan Wang, Cristina Menghini, and Summer Yue · 2024
Closest in time.
Eia: Environmental injection attack on generalist web agents for privacy leakage, 2024
Zeyi Liao, Lingbo Mo, Chejian Xu, Mintong Kang, Jiawei Zhang, Chaowei Xiao, Yuan Tian, Bo Li, and Huan Sun · 2024
Closest in time.
HarmBench: A standardized evaluation framework for automated red teaming and robust refusal
Mantas Mazeika, Long Phan, Xuwang Yin, Andy Zou, Zifan Wang, Norman Mu, Elham Sakhaee, Nathaniel Li, Steven Basart, Bo Li, David Forsyth, and Dan Hendrycks · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
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Maksym Andriushchenko, Francesco Croce, and Nicolas Flammarion · 2024
Cited alongside, same era.
Many-shot jailbreaking
Cem Anil, Esin Durmus, Mrinank Sharma, Joe Benton, Sandipan Kundu, Joshua Batson, Nina Rimsky, Meg Tong, Jesse Mu, Daniel Ford, et al · 2024
Cited alongside, same era.
The claude 3 model family: Opus, sonnet, haiku, 2024
Anthropic · 2024
Cited alongside, same era.
Agentpoison: Red-teaming llm agents via poisoning memory or knowledge bases
Zhaorun Chen, Zhen Xiang, Chaowei Xiao, Dawn Song, and Bo Li · 2024
Cited alongside, same era.
Leveraging the context through multi-round interactions for jailbreaking attacks
Yixin Cheng, Markos Georgopoulos, Volkan Cevher, and Grigorios G Chrysos · 2024
Cited alongside, same era.
Stav Cohen, Ron Bitton, and Ben Nassi · 2024
Cited alongside, same era.
WorkArena: How capable are web agents at solving common knowledge work tasks?
Alexandre Drouin, Maxime Gasse, Massimo Caccia, Issam H. Laradji, Manuel Del Verme, Tom Marty, David Vazquez, Nicolas Chapados, and Alexandre Lacoste · 2024
Cited alongside, same era.
Teams of llm agents can exploit zero-day vulnerabilities
Richard Fang, Rohan Bindu, Akul Gupta, Qiusi Zhan, and Daniel Kang · 2024
Cited alongside, same era.
Meta · 2024
Closest in time.
O1 System Card
OpenAI · 2024
Closest in time.
Evaluating frontier models for dangerous capabilities
Mary Phuong, Matthew Aitchison, Elliot Catt, Sarah Cogan, Alexandre Kaskasoli, Victoria Krakovna, David Lindner, Matthew Rahtz, Yannis Assael, Sarah Hodkinson, et al · 2024
Closest in time.
Identifying the risks of LM agents with an LM-emulated sandbox
Yangjun Ruan, Honghua Dong, Andrew Wang, Silviu Pitis, Yongchao Zhou, Jimmy Ba, Yann Dubois, Chris J. Maddison, and Tatsunori Hashimoto · 2024
Closest in time.
Great, now write an article about that: The crescendo multi-turn llm jailbreak attack
Mark Russinovich, Ahmed Salem, and Ronen Eldan · 2024
Closest in time.
Seal adversarial robustness leaderboard
ScaleAI · 2024
Closest in time.
Opendevin: An open platform for ai software developers as generalist agents
Xingyao Wang, Boxuan Li, Yufan Song, Frank F Xu, Xiangru Tang, Mingchen Zhuge, Jiayi Pan, Yueqi Song, Bowen Li, Jaskirat Singh, et al · 2024
Closest in time.
Executive order on the safe, secure and trustworthy development and use of artificial intelligence, 2024
WhiteHouse · 2024
Closest in time.
Adversarial attacks on multimodal agents, 2024
Chen Henry Wu, Jing Yu Koh, Ruslan Salakhutdinov, Daniel Fried, and Aditi Raghunathan · 2024
Closest in time.
Sorry-bench: Systematically evaluating large language model safety refusal behaviors, 2024
Tinghao Xie, Xiangyu Qi, Yi Zeng, Yangsibo Huang, Udari Madhushani Sehwag, Kaixuan Huang, Luxi He, Boyi Wei, Dacheng Li, Ying Sheng, Ruoxi Jia, Bo Li, Kai Li, Danqi Chen, Peter Henderson, and Prateek Mittal · 2024
Closest in time.
Watch out for your agents! investigating backdoor threats to llm-based agents
Wenkai Yang, Xiaohan Bi, Yankai Lin, Sishuo Chen, Jie Zhou, and Xu Sun · 2024
Closest in time.
Ferret-ui: Grounded mobile ui understanding with multimodal llms
Keen You, Haotian Zhang, Eldon Schoop, Floris Weers, Amanda Swearngin, Jeffrey Nichols, Yinfei Yang, and Zhe Gan · 2024
Closest in time.
Air-bench 2024: A safety benchmark based on risk categories from regulations and policies
Yi Zeng, Yu Yang, Andy Zhou, Jeffrey Ziwei Tan, Yuheng Tu, Yifan Mai, Kevin Klyman, Minzhou Pan, Ruoxi Jia, Dawn Song, et al · 2024
Closest in time.
You only look at screens: Multimodal chain-of-action agents
Zhuosheng Zhang and Aston Zhang · 2024
Closest in time.
Gpt-4v (ision) is a generalist web agent, if grounded
Boyuan Zheng, Boyu Gou, Jihyung Kil, Huan Sun, and Yu Su · 2024
Closest in time.