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Pratyush Maini · SciRah

Researcher profile · Semantic Scholar

Pratyush Maini

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Pratyush Maini — researcher profile on SciRah

h-index: 16
Works: 33
Citations: 2,412

Most-cited papers

TOFU: A Task of Fictitious Unlearning for LLMs
Pratyush Maini, Zhi-Li Feng, Avi Schwarzschild, Zachary Chase Lipton +1 more
2024arXiv.org640 citations
Semantic Scholar
Data-Free Model Extraction
Jean-Baptiste Truong, Pratyush Maini, R. Walls, Nicolas Papernot
2020Computer Vision and Pattern Recognition263 citations Open access
Semantic Scholar
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
Pratyush Maini, Skyler Seto, Richard He Bai, D. Grangier +2 more
2024Annual Meeting of the Association for Computational Linguistics183 citations
Semantic Scholar
Dataset Inference: Ownership Resolution in Machine Learning
Pratyush Maini, Mohammad Yaghini, Nicolas Papernot
2021International Conference on Learning Representations181 citations
Semantic Scholar
Adversarial Robustness Against the Union of Multiple Perturbation Models
Pratyush Maini, Eric Wong, J. Kolter
2019International Conference on Machine Learning181 citations
Semantic Scholar
LLM Dataset Inference: Did you train on my dataset?
Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic
2024Neural Information Processing Systems166 citations
Semantic Scholar
Understanding Hallucinations in Diffusion Models through Mode Interpolation
Sumukh K Aithal, Pratyush Maini, Zachary Chase Lipton, J. Kolter
2024Neural Information Processing Systems131 citations
Semantic Scholar
Rethinking LLM Memorization through the Lens of Adversarial Compression
Avi Schwarzschild, Zhi-Li Feng, Pratyush Maini, Zachary Chase Lipton +1 more
2024Neural Information Processing Systems120 citations
Semantic Scholar
OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics
Vineeth Dorna, Anmol Reddy Mekala, Wenlong Zhao, Andrew McCallum +3 more
2025Neural Information Processing Systems99 citations
Semantic Scholar
Scaling Laws for Data Filtering—Data Curation Cannot be Compute Agnostic
Sachin Goyal, Pratyush Maini, Zachary Chase Lipton, Aditi Raghunathan +1 more
2024Computer Vision and Pattern Recognition97 citations Open access
Semantic Scholar
Can Neural Network Memorization Be Localized?
Pratyush Maini, M. Mozer, Hanie Sedghi, Zachary Chase Lipton +2 more
2023International Conference on Machine Learning94 citations Open access
Semantic Scholar
Safety Pretraining: Toward the Next Generation of Safe AI
Pratyush Maini, Sachin Goyal, Dylan Sam, A. Robey +6 more
2025Neural Information Processing Systems54 citations
Semantic Scholar
Characterizing Datapoints via Second-Split Forgetting
Pratyush Maini, S. Garg, Zachary Chase Lipton, J. Kolter
2022Neural Information Processing Systems49 citations Open access
Semantic Scholar
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J. Kolter +1 more
2023International Conference on Learning Representations48 citations Open access
Semantic Scholar
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
Mrigank Raman, Pratyush Maini, J. Kolter, Zachary Chase Lipton +1 more
2023Conference on Empirical Methods in Natural Language Processing19 citations Open access
Semantic Scholar
BeyondWeb: Lessons from Scaling Synthetic Data for Trillion-scale Pretraining
Pratyush Maini, Vineeth Dorna, Parth Doshi, A. Carranza +25 more
2025arXiv.org18 citations
Semantic Scholar
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
Saksham Rastogi, Pratyush Maini, Danish Pruthi
2025International Conference on Machine Learning12 citations
Semantic Scholar
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
Pratyush Maini, Keshav Kolluru, Danish Pruthi, Mausam
2020Findings12 citations Open access
Semantic Scholar
Unlocking Post-hoc Dataset Inference with Synthetic Data
Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic
2025International Conference on Machine Learning11 citations
Semantic Scholar
DatBench: Discriminative, Faithful, and Efficient VLM Evaluations
Siddharth Joshi, Hao-Li Yin, Rishabh Adiga, R. Monti +27 more
2026arXiv.org10 citations
Semantic Scholar
When Should We Introduce Safety Interventions During Pretraining?
Dylan Sam, Sachin Goyal, Pratyush Maini, A. Robey +1 more
2026arXiv.org10 citations
Semantic Scholar
Memorization Sinks: Isolating Memorization during LLM Training
Gaurav R. Ghosal, Pratyush Maini, Aditi Raghunathan
2025International Conference on Machine Learning9 citations
Semantic Scholar
The Finetuner's Fallacy: When to Pretrain with Your Finetuning Data
Christina Baek, R. Monti, David Schwab, Amro Abbas +30 more
2026arXiv.org8 citations
Semantic Scholar
Perturbation type categorization for multiple adversarial perturbation robustness
Pratyush Maini, Xin-Yun Chen, Bo Li, D. Song
2022Conference on Uncertainty in Artificial Intelligence7 citations
Semantic Scholar
Peeking Behind Closed Doors: Risks of LLM Evaluation by Private Data Curators
Hritik Bansal, Pratyush Maini
2025arXiv.org5 citations
Semantic Scholar
Classifying Perturbation Types for Robustness Against Multiple Adversarial Perturbations
Pratyush Maini, Xin-Yun Chen, Bo Li, D. Song
20204 citations
Semantic Scholar
ÜberWeb: Insights from Multilingual Curation for a 20-Trillion-Token Dataset
A. Carranza, Kaleigh Mentzer, R. Monti, Alex Fang +29 more
2026arXiv.org3 citations
Semantic Scholar
Luxical: High-Speed Lexical-Dense Text Embeddings
Luke Merrick, Alex Fang, A. Carranza, Alvin Deng +28 more
2025arXiv.org2 citations
Semantic Scholar
Natively Unlearnable Large Language Models
Gaurav R. Ghosal, Pratyush Maini, Aditi Raghunathan
2026arXiv.org1 citations
Semantic Scholar
20/20 Vision Language Models: A Prescription for Better VLMs through Data Curation Alone
Siddharth Joshi, Hao-Li Yin, Rishabh Adiga, Haakon Mongstad +29 more
2026arXiv.org1 citations
Semantic Scholar
Adversarial Robustness Against the Union of Multiple Threat Models
Pratyush Maini, Eric Wong, Zico Kolter
2020International Conference on Machine Learning1 citations
Semantic Scholar
Zephon: Elastic Determinism for Online, Stateful Foundation Model Data Loading Pipelines
Maximilian Bother, Josh Wills, Ties Robroek, Sonnet Xu +13 more
20260 citations
Semantic Scholar
Training Data Extraction Attack from Large Language Models in Federated Learning Through Frequent Sequence Mining
Jinze Bai, Shuai Bai, Yun-Fei Chu, Zeyu Cui +261 more
0 citations
Semantic Scholar

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