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"A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks". 1 2 Ngo, Richard; Chan, Lawrence; Mindermann, Sören (2022). "Deep Anomaly Detection with Outlier Exposure". "Dual use of artificial-intelligence-powered drug discovery". ↑ Meng, Kevin; Bau, David; Andonian, Alex; Belinkov, Yonatan (2022). ↑ Goodfellow, Ian; Papernot, Nicolas; Huang, Sandy; Duan, Rocky; Abbeel, Pieter; Clark, Jack (2017-02-24). ↑ Urbina, Fabio; Lentzos, Filippa; Invernizzi, Cédric; Ekins, Sean (2022). "Locating and editing factual associations in GPT". "Adversarial Examples in Constrained Domai ↑ Sheatsley, Ryan; Papernot, Nicolas; Weisman, Michael; Verma, Gunjan; McDaniel, Patrick (2022-09-09). "Attacking Machine [Learning](https://calgaryindians.org/author-profile/ilene86f168181/) with Adversarial Examples". 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"Multimodal neurons in synthetic neural networks". ↑ Cammarata, Nick; Goh, Gabriel; Carter, Shan; Voss, Chelsea; Schubert, Ludwig; Olah, Chris (2021). ↑ Heart for Safety and Emerging Technology; Rudner, Tim; Toner, Helen (2021). "Key Ideas in AI Safety: Interpretability in Machine Studying". ↑ Madry, Aleksander; Makelov, Aleksandar; Schmidt, Ludwig; Tsipras, Dimitris; Vladu, Adrian (2019-09-04). ↑ Bogdoll, Daniel; Breitenstein, Jasmin; Heidecker, Florian; Bieshaar, Maarten; Sick, Bernhard; Fingscheidt, Tim; Zöllner, J. ↑ Goh, Gabriel; Cammarata, Nick; Voss, Chelsea; Carter, Shan; Petrov, Michael; Schubert, Ludwig; Radford, Alec; Olah, Chris (2021). ↑ "Sleeper Brokers: Coaching Deceptive LLMs that Persist By Security Training". "Description of Nook Circumstances in Automated Driving: Objectives and Challenges". 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