Mazeika, Mantas
Michael Pokorny
15 papers on CoChat
Most cited papers
- Verified
Deep Anomaly Detection with Outlier Exposure
Hendrycks, D., Mazeika, M., & Dietterich, T. (2018) · arXiv
Anomaly Detection Techniques and ApplicationsAdversarial Robustness in Machine Learning
Cited by 932
- Verified
Using Self-Supervised Learning Can Improve Model Robustness and Uncertainty
Hendrycks, D., Mazeika, M., Kadavath, S., & Song, D. (2019) · arXiv
Adversarial Robustness in Machine LearningDomain Adaptation and Few-Shot Learning
Cited by 634
- Verified
Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models
Srivastava, A., Rastogi, A., Rao, A., Shoeb, A. A. M., Abid, A., Fisch, A., Brown, A. R., Santoro, A., Gupta, A., Garriga-Alonso, A., et al. (2022) · arXiv
Topic ModelingNatural Language Processing Techniques
Cited by 569
- Verified
Measuring Massive Multitask Language Understanding
Hendrycks, D., Burns, C., Basart, S., Zou, A., Mazeika, M., Song, D., & Steinhardt, J. (2020) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 291
- Verified
DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al. (2023) · arXiv
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 110
- Verified
DecodingTrust: A comprehensive assessment of trustworthiness in GPT models
Wang, B., Chen, W., Pei, H., Xie, C., Kang, M., Zhang, C., Xu, C., Xiong, Z., Dutta, R., Schaeffer, R., et al. (2023) · Advances in Neural Information Processing Systems 36
Ethics and Social Impacts of AIExplainable Artificial Intelligence (XAI)
Cited by 107
- Verified
The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning
Li, N., Pan, A., Gopal, A., Yue, S., Berrios, D., Gatti, A., Li, J. D., Dombrowski, A.-K., Goel, S., Phan, L., et al. (2024) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 90
- Verified
Representation Engineering: A Top-Down Approach to AI Transparency
Zou, A., Phan, L., Chen, S., Campbell, J., Guo, P., Ren, R., Pan, A., Yin, X., Mazeika, M., Dombrowski, A.-K., et al. (2023) · arXiv
Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI
Cited by 65
- Verified
Humanity's Last Exam
Phan, L., Gatti, A., Han, Z., Li, N., Hu, J., Zhang, H., Zhang, C. B. C., Shaaban, M., Ling, J., Shi, S., et al. (2025) · arXiv
Topic ModelingMultimodal Machine Learning Applications
Cited by 65
- Verified
Remote Labor Index: Measuring AI Automation of Remote Work
Mazeika, M., Gatti, A., Menghini, C., Sehwag, U. M., Singhal, S., Orlovskiy, Y., Basart, S., Sharma, M., Peskoff, D., Lau, E., et al. (2025) · arXiv
Artificial Intelligence ApplicationsLabor market dynamics and wage inequality
Cited by 44
- Verified
HarmBench: A Standardized Evaluation Framework for Automated Red Teaming and Robust Refusal
Mazeika, M., Phan, L., Yin, X., Zou, A., Wang, Z., Mu, N., Sakhaee, E., Li, N., Basart, S., Li, B., et al. (2024) · arXiv
Adversarial Robustness in Machine LearningTopic Modeling
Cited by 28
- Verified
Utility Engineering: Analyzing and Controlling Emergent Value Systems in AIs
Mazeika, M., Yin, X., Tamirisa, R., Lim, J., Lee, B. W., Ren, R., Phan, L., Mu, N., Khoja, A., Zhang, O., et al. (2025) · arXiv
Ethics and Social Impacts of AIPsychiatry, Mental Health, Neuroscience
Cited by 27
- Verified
International AI Safety Report
Bengio, Y., Mindermann, S., Privitera, D., Besiroglu, T., Bommasani, R., Casper, S., Choi, Y., Fox, P., Garfinkel, B., Goldfarb, D., et al. (2025) · arXiv
Ethics and Social Impacts of AISafety Systems Engineering in Autonomy
Cited by 16
- Verified
Safetywashing: Do AI Safety Benchmarks Actually Measure Safety Progress?
Ren, R., Basart, S., Khoja, A., Gatti, A., Phan, L., Yin, X., Mazeika, M., Pan, A., Mukobi, G., Kim, R. H., et al. (2024) · arXiv
Ethics and Social Impacts of AISafety Systems Engineering in Autonomy
Cited by 10
- Verified
A Definition of AGI
Hendrycks, D., Song, D., Szegedy, C., Lee, H., Gal, Y., Brynjolfsson, E., Li, S., Zou, A., Levine, L., Han, B., et al. (2025) · arXiv
Psychiatry, Mental Health, NeuroscienceArtificial Intelligence Applications
Cited by 3
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