| Measuring Massive Multitask Language Understanding D Hendrycks, C Burns, S Basart, A Zou, M Mazeika, D Song, J Steinhardt ICLR, 2020 | 2104 | 2020 |
| Beyond the imitation game: Quantifying and extrapolating the capabilities of language models A Srivastava, A Rastogi, A Rao, AAM Shoeb, A Abid, A Fisch, AR Brown, ... TMLR, 2022 | 1020 | 2022 |
| Universal and Transferable Adversarial Attacks on Aligned Language Models A Zou, Z Wang, N Carlini, N Milad, JZ Kolter, M Fredrikson arXiv preprint arXiv:2307.15043, 2023 | 712 | 2023 |
| Lessons from the Trenches on Reproducible Evaluation of Language Models S Biderman, H Schoelkopf, L Sutawika, L Gao, J Tow, B Abbasi, AF Aji, ... arXiv preprint arXiv:2405.14782, 2024 | 490* | 2024 |
| Scaling Out-of-Distribution Detection for Real-World Settings D Hendrycks, S Basart, M Mazeika, A Zou, J Kwon, M Mostajabi, ... ICML, 2021 | 408 | 2021 |
| Representation Engineering: A Top-Down Approach to AI Transparency A Zou, L Phan, S Chen, J Campbell, P Guo, R Ren, A Pan, X Yin, ... arXiv preprint arXiv:2310.01405, 2023 | 179 | 2023 |
| PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures D Hendrycks, A Zou, M Mazeika, L Tang, D Song, J Steinhardt CVPR, 2021 | 122 | 2021 |
| Do the Rewards Justify the Means? Measuring Trade-Offs Between Rewards and Ethical Behavior in the MACHIAVELLI Benchmark A Pan, CJ Shern, A Zou, N Li, S Basart, T Woodside, J Ng, H Zhang, ... ICML, 2023 | 99 | 2023 |
| HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal M Mazeika, L Phan, X Yin, A Zou, Z Wang, N Mu, E Sakhaee, N Li, ... ICML, 2024 | 82* | 2024 |
| What Would Jiminy Cricket Do? Towards Agents That Behave Morally M Mazeika, A Zou, S Patel, C Zhu, J Navarro, D Song, B Li, J Steinhardt, ... NeurIPS, 2021 | 58* | 2021 |
| The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning N Li, A Pan, A Gopal, S Yue, D Berrios, A Gatti, JD Li, AK Dombrowski, ... ICML, 2024 | 39 | 2024 |
| Forecasting Future World Events with Neural Networks A Zou, T Xiao, R Jia, J Kwon, M Mazeika, R Li, D Song, J Steinhardt, ... NeurIPS, 2022 | 22 | 2022 |
| The Trojan Detection Challenge M Mazeika, D Hendrycks, H Li, X Xu, S Hough, A Zou, A Rajabi, Q Yao, ... NeurIPS 2022 Competition Track, 279-291, 2022 | 19 | 2022 |
| Improving Alignment and Robustness with Circuit Breakers A Zou, L Phan, J Wang, D Duenas, M Lin, M Andriushchenko, R Wang, ... arXiv preprint arXiv:2406.04313, 2024 | 18* | 2024 |
| Unlocking Deterministic Robustness Certification on ImageNet K Hu, A Zou, Z Wang, K Leino, M Fredrikson NeurIPS, 2023 | 16* | 2023 |
| How Would The Viewer Feel? Estimating Wellbeing From Video Scenarios M Mazeika, E Tang, A Zou, S Basart, D Song, D Forsyth, J Steinhardt, ... NeurIPS, 2022 | 12 | 2022 |
| Tamper-resistant safeguards for open-weight llms R Tamirisa, B Bharathi, L Phan, A Zhou, A Gatti, T Suresh, M Lin, J Wang, ... arXiv preprint arXiv:2408.00761, 2024 | 5 | 2024 |
| How hard is trojan detection in DNNs? fooling detectors with evasive trojans M Mazeika, A Zou, A Arora, P Pleskov, D Song, D Hendrycks, B Li, ... | 3 | 2023 |
