Pratyush Maini

According to our database, Pratyush Maini authored at least 11 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

Pratyush Maini, Skyler Seto, He Bai, David Grangier, Yizhe Zhang, Navdeep Jaitly

CoRR, 2024

TOFU: A Task of Fictitious Unlearning for LLMs.

Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter

CoRR, 2024

2023

T-MARS: Improving Visual Representations by Circumventing Text Feature Learning.

Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan

CoRR, 2023

Can Neural Network Memorization Be Localized?

Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang

Proceedings of the International Conference on Machine Learning, 2023

Model-tuning Via Prompts Makes NLP Models Adversarially Robust.

Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Perturbation type categorization for multiple adversarial perturbation robustness.

Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Characterizing Datapoints via Second-Split Forgetting.

Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Dataset Inference: Ownership Resolution in Machine Learning.

Pratyush Maini, Mohammad Yaghini, Nicolas Papernot

Proceedings of the 9th International Conference on Learning Representations, 2021

Data-Free Model Extraction.

Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020

Adversarial Robustness Against the Union of Multiple Perturbation Models.

Pratyush Maini, Eric Wong, J. Zico Kolter

Proceedings of the 37th International Conference on Machine Learning, 2020

Why and when should you pool? Analyzing Pooling in Recurrent Architectures.

Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020