Guo, Phillip
3 papers on CoChat
Most cited papers
- Verified
Eight Methods to Evaluate Robust Unlearning in LLMs
Lynch, A., Guo, P., Ewart, A., Casper, S., & Hadfield-Menell, D. (2024) · arXiv
Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning
Cited by 188
- 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
Latent Adversarial Training Improves Robustness to Persistent Harmful Behaviors in LLMs
Sheshadri, A., Ewart, A., Guo, P., Lynch, A., Wu, C., Hebbar, V., Sleight, H., Stickland, A. C., Perez, E., Hadfield-Menell, D., et al. (2024) · arXiv
Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data
Cited by 3
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