Huseyin A. Inan

CoRR, June, 2025

On the Emergence of Thinking in LLMs I: Searching for the Right Intuition.

[BibT_eX]

[DOI]

CoRR, February, 2025

2024

Controllable Synthetic Clinical Note Generation with Privacy Guarantees.

[BibT_eX]

[DOI]

CoRR, 2024

Differentially Private Training of Mixture of Experts Models.

[BibT_eX]

[DOI]

CoRR, 2024

Differentially Private Synthetic Data via Foundation Model APIs 2: Text.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Privately Aligning Language Models with Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Planting and Mitigating Memorized Content in Predictive-Text Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe.

[BibT_eX]

[DOI]

CoRR, 2022

Active Data Pattern Extraction Attacks on Generative Language Models.

[BibT_eX]

[DOI]

CoRR, 2022

Privacy Leakage in Text Classification: A Data Extraction Approach.

[BibT_eX]

[DOI]

Adel Elmahdy

CoRR, 2022

Differentially Private Model Compression.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

When Does Differentially Private Learning Not Suffer in High Dimensions?

[BibT_eX]

[DOI]

Xuechen Li

Daogao Liu

Tatsunori B. Hashimoto

Janardhan Kulkarni

Yin Tat Lee

Abhradeep Guha Thakurta

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Differentially Private Fine-tuning of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Membership Inference on Word Embedding and Beyond.

[BibT_eX]

[DOI]

CoRR, 2021

On Privacy and Confidentiality of Communications in Organizational Graphs.

[BibT_eX]

[DOI]

Masoumeh Shafieinejad

Marcello Hasegawa

CoRR, 2021

Privacy Regularization: Joint Privacy-Utility Optimization in Language Models.

[BibT_eX]

[DOI]

Marcello Hasegawa

Victor Rühle

Taylor Berg-Kirkpatrick

CoRR, 2021

Privacy Analysis in Language Models via Training Data Leakage Report.

[BibT_eX]

[DOI]

CoRR, 2021

Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels.

[BibT_eX]

[DOI]

Marcello Hasegawa

Victor Rühle

Taylor Berg-Kirkpatrick

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2020

Sparse Combinatorial Group Testing.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2020

rTop-k: A Statistical Estimation Approach to Distributed SGD.

[BibT_eX]

[DOI]

IEEE J. Sel. Areas Inf. Theory, 2020

Strongly Explicit and Efficiently Decodable Probabilistic Group Testing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2020

2019

Improving Semantic Parsing with Neural Generator-Reranker Architecture.

[BibT_eX]

[DOI]

Gaurav Singh Tomar

Huapu Pan

CoRR, 2019

A Group Testing Approach to Random Access for Short-Packet Communication.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Information Theory, 2019

2018

Energy-limited Massive Random Access via Noisy Group Testing.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Symposium on Information Theory, 2018

On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Allerton Conference on Communication, 2018

2017

Stationary Point Characterization for a Class of BCA Algorithms.

[BibT_eX]

[DOI]

Sergio Cruces

IEEE Trans. Signal Process., 2017

Sparse Combinatorial Group Testing for Low-Energy Massive Random Access.

[BibT_eX]

[DOI]

CoRR, 2017

Sparse group testing codes for low-energy massive random access.

[BibT_eX]

[DOI]

Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016

Online power control for the energy harvesting multiple access channel.

[BibT_eX]

[DOI]

Proceedings of the 14th International Symposium on Modeling and Optimization in Mobile, 2016

Capacity of the energy harvesting Gaussian MAC.

[BibT_eX]

[DOI]

Dor Shaviv

Proceedings of the IEEE International Symposium on Information Theory, 2016

2015

A Convolutive Bounded Component Analysis Framework for Potentially Nonstationary Independent and/or Dependent Sources.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

Convolutive Bounded Component Analysis Algorithms for Independent and Dependent Source Separation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

2014

An extended family of bounded component analysis algorithms.

[BibT_eX]

[DOI]

Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013

Robust estimation in flat fading channels under bounded channel uncertainties.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

Adaptive mixture methods based on Bregman divergences.

[BibT_eX]

[DOI]

Digit. Signal Process., 2013

A Bounded Component Analysis approach for the separation of convolutive mixtures of dependent and independent sources.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties

[BibT_eX]

[DOI]

CoRR, 2012

Adaptive mixture methods using Bregman divergences.

[BibT_eX]

[DOI]