Maini, Pratyush

28 publications

ICLRW 2025 Disentangling Sequence Memorization and General Capability in Large Language Models Gaurav Rohit Ghosal, Pratyush Maini, Aditi Raghunathan

ICLRW 2025 Evaluating LLM Memorization Using Soft Token Sparsity Zhili Feng, Yixuan Even Xu, Pratyush Maini, Alexander Robey, Avi Schwarzschild, J Zico Kolter

ICML 2025 Memorization Sinks: Isolating Memorization During LLM Training Gaurav Rohit Ghosal, Pratyush Maini, Aditi Raghunathan

NeurIPS 2025 OpenUnlearning: Accelerating LLM Unlearning via Unified Benchmarking of Methods and Metrics Vineeth Dorna, Anmol Reddy Mekala, Wenlong Zhao, Andrew McCallum, J Zico Kolter, Zachary Chase Lipton, Pratyush Maini

ICML 2025 STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings Saksham Rastogi, Pratyush Maini, Danish Pruthi

ICLRW 2025 STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings Saksham Rastogi, Pratyush Maini, Danish Pruthi

NeurIPS 2025 Safety Pretraining: Toward the Next Generation of Safe AI Pratyush Maini, Sachin Goyal, Dylan Sam, Alexander Robey, Yash Savani, Yiding Jiang, Andy Zou, Matt Fredrikson, Zachary Chase Lipton, J Zico Kolter

ICML 2025 Unlocking Post-Hoc Dataset Inference with Synthetic Data Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic

ICLRW 2025 Unlocking Post-Hoc Dataset Inference with Synthetic Data Bihe Zhao, Pratyush Maini, Franziska Boenisch, Adam Dziedzic

NeurIPS 2024 LLM Dataset Inference: Did You Train on My Dataset? Pratyush Maini, Hengrui Jia, Nicolas Papernot, Adam Dziedzic

ICLRW 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

NeurIPS 2024 Rethinking LLM Memorization Through the Lens of Adversarial Compression Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

NeurIPSW 2024 Rethinking LLM Memorization Through the Lens of Adversarial Compression Avi Schwarzschild, Zhili Feng, Pratyush Maini, Zachary Chase Lipton, J Zico Kolter

CVPR 2024 Scaling Laws for Data Filtering-- Data Curation Cannot Be Compute Agnostic Sachin Goyal, Pratyush Maini, Zachary C. Lipton, Aditi Raghunathan, J. Zico Kolter

ICLR 2024 T-MARS: Improving Visual Representations by Circumventing Text Feature Learning Pratyush Maini, Sachin Goyal, Zachary Chase Lipton, J Zico Kolter, Aditi Raghunathan

ICLRW 2024 TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary Chase Lipton, J Zico Kolter

NeurIPSW 2024 TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini, Zhili Feng, Avi Schwarzschild, Zachary Chase Lipton, J Zico Kolter

ICLRW 2024 The Science of Data Filtering: Data Curation Cannot Be Compute Agnostic Sachin Goyal, Pratyush Maini, Zachary Chase Lipton, Aditi Raghunathan, J Zico Kolter

NeurIPS 2024 Understanding Hallucinations in Diffusion Models Through Mode Interpolation Sumukh K Aithal, Pratyush Maini, Zachary C. Lipton, J. Zico Kolter

ICMLW 2024 Understanding Hallucinations in Diffusion Models Through Mode Interpolation Sumukh K Aithal, Pratyush Maini, Zachary Chase Lipton

ICML 2023 Can Neural Network Memorization Be Localized? Pratyush Maini, Michael Curtis Mozer, Hanie Sedghi, Zachary Chase Lipton, J Zico Kolter, Chiyuan Zhang

ICMLW 2023 Model-Tuning via Prompts Makes NLP Models Adversarially Robust Mrigank Raman, Pratyush Maini, J Zico Kolter, Zachary Chase Lipton, Danish Pruthi

NeurIPS 2022 Characterizing Datapoints via Second-Split Forgetting Pratyush Maini, Saurabh Garg, Zachary Lipton, J. Zico Kolter

ICMLW 2022 Characterizing Datapoints via Second-Split Forgetting Pratyush Maini, Saurabh Garg, Zachary Chase Lipton, J Zico Kolter

UAI 2022 Perturbation Type Categorization for Multiple Adversarial Perturbation Robustness Pratyush Maini, Xinyun Chen, Bo Li, Dawn Song

CVPR 2021 Data-Free Model Extraction Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot

ICLR 2021 Dataset Inference: Ownership Resolution in Machine Learning Pratyush Maini, Mohammad Yaghini, Nicolas Papernot

ICML 2020 Adversarial Robustness Against the Union of Multiple Perturbation Models Pratyush Maini, Eric Wong, Zico Kolter