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↑ Bengio, Yoshua; Privitera, Daniel; Bommasani, Rishi; Casper, Stephen; Goldfarb, Danielle; Mavroudis, Vasilios; Khalatbari, Leila; Mazeika, Mantas; Hoda, Heidari (2024-05-17). "Worldwide Scientific Report on the Security of Advanced AI" (PDF). ↑ Hendrycks, Dan; Mazeika, Mantas; Dietterich, Thomas (2019-01-28). "Deep Anomaly Detection with Outlier Publicity". ↑ Buchanan, Ben; Bansemer, John; Cary, Dakota; Lucas, Jack; Musser, Micah (2020). "X-Risk Evaluation for AI Research". 1 2 Hendrycks, Dan; Mazeika, Mantas (2022-09-20). ↑ Räuker, Tilman; Ho, Anson; Casper, Stephen; Hadfield-Menell, Dylan (2022-09-05). ↑ Hendrycks, Dan; Gimpel, Kevin (2018-10-03). "Toward Clear AI: A Survey on Interpreting the Inner Structures of Deep Neural Networks". 1 2 Ngo, Richard; Chan, Lawrence; Mindermann, Sören (2022). "A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks". "Automating Cyber Assaults: Hype and Actuality". ↑ Meng, Kevin; Bau, David; Andonian, Alex; Belinkov, Yonatan (2022). ↑ Goodfellow, Ian; Papernot, Nicolas; Huang, Sandy; Duan, Rocky; Abbeel, Pieter; Clark, Jack (2017-02-24). "The Alignment Problem from a Deep Studying Perspective". ↑ Sheatsley, Ryan; Papernot, Nicolas; Weisman, Michael; Verma, Gunjan; McDaniel, Patrick (2022-09-09). "Attacking Machine Studying with Adversarial Examples". ↑ Urbina, Fabio; Lentzos, Filippa; Invernizzi, Cédric; Ekins, Sean (2022). "Locating and editing factual associations in GPT". "Twin use of artificial-intelligence-powered drug discovery". "Adversarial Examples in Constrained Domai
snail.ws↑ Goh, Gabriel; Cammarata, Nick; Voss, Chelsea; Carter, Shan; Petrov, Michael; Schubert, Ludwig; Radford, Alec; Olah, Chris (2021). ↑ Middle for Safety and Emerging Know-how; Rudner, Tim; Toner, Helen (2021). "Key Ideas in AI Safety: Interpretability in Machine Studying". "In direction of Deep Learning Models Resistant to Adversarial Attacks". "Description of Corner Circumstances in Automated Driving: Targets and Challenges". "Multimodal neurons in artificial neural networks". ↑ "Sleeper Brokers: Coaching Deceptive LLMs that Persist By Safety Coaching". ↑ Bogdoll, Daniel; Breitenstein, Jasmin; Heidecker, Florian; Bieshaar, Maarten; Sick, Bernhard; Fingscheidt, Tim; Zöllner, J. ↑ Cammarata, Nick; Goh, Gabriel; Carter, Shan; Voss, Chelsea; Schubert, Ludwig; Olah, Chris (2021). This ensures decisions are unbiased and cl A critical screening system has three backbones: automated filters, person-driven flagging, and clear escalation routes for top-stakes instances. As a result of Rahul by no means turned on MFA for that account, the system did not ask for a phone code. ↑ "How 'sleeper agent' AI assistants can sabotage code". ↑ Madry, Aleksander; Makelov, Aleksandar; Schmidt, Ludwig; Tsipras, Dimitris; Vladu, Adrian (2019-09-04).
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