Krishna Pillutla
13 papers · 2021–2025 · 7 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (7)
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Conference Polyglot
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(13)
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(5)
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(5)
Conferences
NIPS (5)
AISTATS (2)
ICLR (2)
ACL (1)
EMNLP (1)
ICML (1)
JMLR (1)
Top co-authors
Keywords
differential privacy
(2)
large language model
(2)
federated learning
(2)
text generation
(2)
generative model
(2)
image generation
(1)
language modeling
(1)
privacy attack
(1)
attention mechanism
(1)
representation learning
(1)
image retrieval
(1)
convergence analysis
(1)
sample complexity
(1)
distributed learning
(1)
ai safety
(1)
distributed optimization
(1)
distribution matching
(1)
machine learning
(1)
linear convergence
(1)
nonconvex optimization
(1)
Papers
Language Models can Subtly Deceive Without Lying: A Case Study on Strategic Phrasing in Legislation
ACL 2025
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
ICLR 2024
Distributionally Robust Optimization with Bias and Variance Reduction
ICLR 2024
User Inference Attacks on Large Language Models
EMNLP 2024
Stochastic Optimization for Spectral Risk Measures
AISTATS 2023
MAUVE Scores for Generative Models: Theory and Practice
JMLR 2023
Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning
NIPS 2023
Unleashing the Power of Randomization in Auditing Differentially Private ML
NIPS 2023
Influence Diagnostics under Self-concordance
AISTATS 2023
Federated Learning with Partial Model Personalization
ICML 2022
LLC: Accurate, Multi-purpose Learnt Low-dimensional Binary Codes
NIPS 2021
Divergence Frontiers for Generative Models: Sample Complexity, Quantization Effects, and Frontier Integrals
NIPS 2021
MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers
NIPS 2021