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Conference and Workshop Papers
- 2024
[c11]Pratyush Maini, Skyler Seto, Richard He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. ACL (1) 2024: 14044-14072- [c10]Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter:
Scaling Laws for Data Filtering - Data Curation Cannot be Compute Agnostic. CVPR 2024: 22702-22711 - [c9]Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan:
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. ICLR 2024 - 2023
- [c8]Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi:
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. EMNLP 2023: 9266-9286 - [c7]Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang:
Can Neural Network Memorization Be Localized? ICML 2023: 23536-23557 - 2022
- [c6]Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter:
Characterizing Datapoints via Second-Split Forgetting. NeurIPS 2022 - [c5]Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song:
Perturbation type categorization for multiple adversarial perturbation robustness. UAI 2022: 1317-1327 - 2021
- [c4]Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot:
Data-Free Model Extraction. CVPR 2021: 4771-4780 - [c3]Pratyush Maini, Mohammad Yaghini, Nicolas Papernot:
Dataset Inference: Ownership Resolution in Machine Learning. ICLR 2021 - 2020
- [c2]Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. EMNLP (Findings) 2020: 4568-4586 - [c1]Pratyush Maini, Eric Wong, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. ICML 2020: 6640-6650
Informal and Other Publications
- 2024
- [i14]Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter:
TOFU: A Task of Fictitious Unlearning for LLMs. CoRR abs/2401.06121 (2024) - [i13]Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly:
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling. CoRR abs/2401.16380 (2024) - [i12]Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter:
Scaling Laws for Data Filtering - Data Curation cannot be Compute Agnostic. CoRR abs/2404.07177 (2024) - [i11]Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter:
Rethinking LLM Memorization through the Lens of Adversarial Compression. CoRR abs/2404.15146 (2024) - [i10]Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic:
LLM Dataset Inference: Did you train on my dataset? CoRR abs/2406.06443 (2024) - [i9]Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter:
Understanding Hallucinations in Diffusion Models through Mode Interpolation. CoRR abs/2406.09358 (2024) - 2023
- [i8]Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi:
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR abs/2303.07320 (2023) - [i7]Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan:
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. CoRR abs/2307.03132 (2023) - [i6]Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang:
Can Neural Network Memorization Be Localized? CoRR abs/2307.09542 (2023) - 2022
- [i5]Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter:
Characterizing Datapoints via Second-Split Forgetting. CoRR abs/2210.15031 (2022) - 2021
- [i4]Pratyush Maini, Mohammad Yaghini, Nicolas Papernot:
Dataset Inference: Ownership Resolution in Machine Learning. CoRR abs/2104.10706 (2021) - 2020
- [i3]Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam:
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. CoRR abs/2005.00159 (2020) - [i2]Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot:
Data-Free Model Extraction. CoRR abs/2011.14779 (2020) - 2019
- [i1]Pratyush Maini, Eric Wong
, J. Zico Kolter:
Adversarial Robustness Against the Union of Multiple Perturbation Models. CoRR abs/1909.04068 (2019)
Coauthor Index
aka: Zachary Chase Lipton
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