AI deception: A survey of examples, risks, and potential solutions von Park, Peter S., Goldstein, Simon, O’Gara, Aidan, Chen, Michael, Hendrycks, Dan

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LLM-PBE: Assessing Data Privacy in Large Language Models von Li, Qinbin, Hong, Junyuan, Xie, Chulin, Tan, Jeffrey, Xin, Rachel, Hou, Junyi, Yin, Xavier, Wang, Zhun, Hendrycks, Dan, Wang, Zhangyang, Li, Bo, He, Bingsheng, Song, Dawn

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Introduction to AI Safety, Ethics, and Society von Hendrycks, Dan

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Natural Selection Favors AIs over Humans von Hendrycks, Dan

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Introduction to AI Safety, Ethics, and Society von Hendrycks, Dan

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A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness von Sun, Jiachen, Mehra, Akshay, Kailkhura, Bhavya, Chen, Pin-Yu, Hendrycks, Dan, Hamm, Jihun, Mao, Z. Morley

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Natural Selection Favors AIs over Humans von Hendrycks, Dan

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X-Risk Analysis for AI Research von Hendrycks, Dan, Mazeika, Mantas

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An Overview of Catastrophic AI Risks von Hendrycks, Dan, Mazeika, Mantas, Woodside, Thomas

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Gaussian Error Linear Units (GELUs) von Hendrycks, Dan, Gimpel, Kevin

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Uncovering Latent Human Wellbeing in Language Model Embeddings von Freire, Pedro, Tan, ChengCheng, Gleave, Adam, Hendrycks, Dan, Emmons, Scott

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Benchmarking Neural Network Robustness to Common Corruptions and Perturbations von Hendrycks, Dan, Dietterich, Thomas

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X-Risk Analysis for AI Research von Hendrycks, Dan, Mantas Mazeika

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Actionable Guidance for High-Consequence AI Risk Management: Towards Standards Addressing AI Catastrophic Risks von Barrett, Anthony M, Hendrycks, Dan, Newman, Jessica, Nonnecke, Brandie

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AI Deception: A Survey of Examples, Risks, and Potential Solutions von Park, Peter S, Goldstein, Simon, O'Gara, Aidan, Chen, Michael, Hendrycks, Dan

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Improving Alignment and Robustness with Circuit Breakers von Zou, Andy, Phan, Long, Wang, Justin, Duenas, Derek, Lin, Maxwell, Andriushchenko, Maksym, Wang, Rowan, Kolter, Zico, Fredrikson, Matt, Hendrycks, Dan

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Benchmarking Neural Network Robustness to Common Corruptions and Surface Variations von Hendrycks, Dan, Dietterich, Thomas G

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Unsolved Problems in ML Safety von Hendrycks, Dan, Carlini, Nicholas, Schulman, John, Steinhardt, Jacob

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A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks von Hendrycks, Dan, Gimpel, Kevin

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Early Methods for Detecting Adversarial Images von Hendrycks, Dan, Gimpel, Kevin

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