| Data-Free Model Extraction JB Truong, P Maini, R Walls, N Papernot Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 235 | 2020 |
| Adversarial robustness against the union of multiple perturbation models P Maini, E Wong, Z Kolter International Conference on Machine Learning, 6640-6650, 2020 | 192 | 2020 |
| Dataset Inference: Ownership resolution in machine learning P Maini, M Yaghini, N Papernot International Conference on Learning Representations (ICLR), 2021 | 130 | 2021 |
| TOFU: A Task Of Fictitious Unlearning for LLMs P Maini, Z Feng, A Schwarzschild, ZC Lipton, JZ Kolter arXiv preprint arXiv:2401.06121, 2024 | 102* | 2024 |
| Can neural network memorization be localized? P Maini, MC Mozer, H Sedghi, ZC Lipton, JZ Kolter, C Zhang arXiv preprint arXiv:2307.09542, 2023 | 47 | 2023 |
| Rephrasing the web: A recipe for compute and data-efficient language modeling P Maini, S Seto, H Bai, D Grangier, Y Zhang, N Jaitly arXiv preprint arXiv:2401.16380, 2024 | 44 | 2024 |
| Characterizing Datapoints via Second-Split Forgetting P Maini, S Garg, ZC Lipton, JZ Kolter NeurIPS 2022, 2022 | 43 | 2022 |
| T-MARS: Improving visual representations by circumventing text feature learning P Maini, S Goyal, ZC Lipton, JZ Kolter, A Raghunathan arXiv preprint arXiv:2307.03132, 2023 | 33 | 2023 |
| Rethinking llm memorization through the lens of adversarial compression A Schwarzschild, Z Feng, P Maini, ZC Lipton, JZ Kolter arXiv preprint arXiv:2404.15146, 2024 | 27 | 2024 |
| LLM Dataset Inference: Did you train on my dataset? P Maini, H Jia, N Papernot, A Dziedzic arXiv preprint arXiv:2406.06443, 2024 | 26 | 2024 |
| Scaling Laws for Data Filtering--Data Curation cannot be Compute Agnostic S Goyal, P Maini, ZC Lipton, A Raghunathan, JZ Kolter Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 26* | 2024 |
| Understanding Hallucinations in Diffusion Models through Mode Interpolation SK Aithal, P Maini, ZC Lipton, JZ Kolter arXiv preprint arXiv:2406.09358, 2024 | 14 | 2024 |
| Perturbation type categorization for multiple adversarial perturbation robustness P Maini, X Chen, B Li, D Song Uncertainty in Artificial Intelligence, 1317-1327, 2022 | 13* | 2022 |
| Model-tuning via prompts makes NLP models adversarially robust M Raman, P Maini, JZ Kolter, ZC Lipton, D Pruthi arXiv preprint arXiv:2303.07320, 2023 | 12 | 2023 |
| Why and when should you pool? Analyzing Pooling in Recurrent Architectures P Maini, K Kolluru, D Pruthi, Mausam Findings of EMNLP, 2020 | 4 | 2020 |
| Classification robust against multiple perturbation types E Wong, F Schmidt, JZ Kolter, P Maini US Patent 11,481,681, 2022 | 1 | 2022 |
Zico KolterCarnegie Mellon UniversityПодтвержден адрес электронной почты в домене cs.cmu.edu