Pratyush Maini

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 24

Top Topics

Depth From Focus

Language Modeling

Diffusion Models

Multiple Models

Top Venues

Publications

Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
LLM Dataset Inference: Did you train on my dataset? CoRR (2024)
Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Rethinking LLM Memorization through the Lens of Adversarial Compression. CoRR (2024)
Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter
Scaling Laws for Data Filtering - Data Curation cannot be Compute Agnostic. CoRR (2024)
Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary C. Lipton, J. Zico Kolter
TOFU: A Task of Fictitious Unlearning for LLMs. CoRR (2024)
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 (2024)
Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Zico Kolter, Aditi Raghunathan
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. ICLR (2024)
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)
Sumukh K. Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter
Understanding Hallucinations in Diffusion Models through Mode Interpolation. CoRR (2024)
Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J. Zico Kolter, Chiyuan Zhang
Can Neural Network Memorization Be Localized? ICML (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. CoRR (2023)
Pratyush Maini, Michael C. Mozer, Hanie Sedghi, Zachary C. Lipton, J. Zico Kolter, Chiyuan Zhang
Can Neural Network Memorization Be Localized? CoRR (2023)
Pratyush Maini, Sachin Goyal, Zachary C. Lipton, J. Zico Kolter, Aditi Raghunathan
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning. CoRR (2023)
Mrigank Raman, Pratyush Maini, J. Zico Kolter, Zachary C. Lipton, Danish Pruthi
Model-tuning Via Prompts Makes NLP Models Adversarially Robust. EMNLP (2023)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. NeurIPS (2022)
Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song
Perturbation type categorization for multiple adversarial perturbation robustness. UAI (2022)
Pratyush Maini, Saurabh Garg, Zachary C. Lipton, J. Zico Kolter
Characterizing Datapoints via Second-Split Forgetting. CoRR (2022)
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
Dataset Inference: Ownership Resolution in Machine Learning. ICLR (2021)
Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot
Data-Free Model Extraction. CVPR (2021)
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
Dataset Inference: Ownership Resolution in Machine Learning. CoRR (2021)
Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. CoRR (2020)
Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam
Why and when should you pool? Analyzing Pooling in Recurrent Architectures. EMNLP (Findings) (2020)
Pratyush Maini, Eric Wong, J. Zico Kolter
Adversarial Robustness Against the Union of Multiple Perturbation Models. ICML (2020)
Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot
Data-Free Model Extraction. CoRR (2020)
Pratyush Maini, Eric Wong, J. Zico Kolter
Adversarial Robustness Against the Union of Multiple Perturbation Models. CoRR (2019)