Pratyush Maini
17 papers · 2020–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (5)
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Interdisciplinary Bridge
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Conference Polyglot
(7)
🏃
Academic Marathon
(5)
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Keyword Collector
(68)
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Prolific Year
(6)
💎
Century Club
(17)
🔥
Unstoppable
(6)
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The Questioner
(3)
Conferences
ICML (5)
NIPS (4)
CVPR (2)
EMNLP (2)
ICLR (2)
ACL (1)
UAI (1)
Top co-authors
Research topics
Keywords
adversarial training
(3)
adversarial robustness
(3)
large language model
(2)
language model
(2)
knowledge distillation
(1)
data augmentation
(1)
text classification
(1)
text representation
(1)
attention mechanism
(1)
language modeling
(1)
data-free learning
(1)
deep learning
(1)
sequence classification
(1)
instruction tuning
(1)
data privacy
(1)
projected gradient descent
(1)
adversarial attack
(1)
black-box attack
(1)
generative model
(1)
model evaluation
(1)
Papers
Unlocking Post-hoc Dataset Inference with Synthetic Data
ICML 2025
STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
ICML 2025
Memorization Sinks: Isolating Memorization during LLM Training
ICML 2025
Understanding Hallucinations in Diffusion Models through Mode Interpolation
NIPS 2024
Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling
ACL 2024
Scaling Laws for Data Filtering-- Data Curation cannot be Compute Agnostic
CVPR 2024
T-MARS: Improving Visual Representations by Circumventing Text Feature Learning
ICLR 2024
Rethinking LLM Memorization through the Lens of Adversarial Compression
NIPS 2024
LLM Dataset Inference: Did you train on my dataset?
NIPS 2024
Model-tuning Via Prompts Makes NLP Models Adversarially Robust
EMNLP 2023
Can Neural Network Memorization Be Localized?
ICML 2023
Perturbation type categorization for multiple adversarial perturbation robustness
UAI 2022
Characterizing Datapoints via Second-Split Forgetting
NIPS 2022
Dataset Inference: Ownership Resolution in Machine Learning
ICLR 2021
Data-Free Model Extraction
CVPR 2021
Why and when should you pool? Analyzing Pooling in Recurrent Architectures
EMNLP 2020
Adversarial Robustness Against the Union of Multiple Perturbation Models
ICML 2020