Huseyin A. Inan

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 43

Top Topics

Top Venues

IEEE Trans. Inf. Theory

Publications

Chulin Xie, Zinan Lin, Arturs Backurs, Sivakanth Gopi, Da Yu, Huseyin A. Inan, Harsha Nori, Haotian Jiang, Huishuai Zhang, Yin Tat Lee, Bo Li, Sergey Yekhanin
Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR (2024)
Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. ICLR (2024)
Pierre Tholoniat, Huseyin A. Inan, Janardhan Kulkarni, Robert Sim
Differentially Private Training of Mixture of Experts Models. CoRR (2024)
Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim
Privately Aligning Language Models with Reinforcement Learning. ICLR (2024)
Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim
Privately Aligning Language Models with Reinforcement Learning. CoRR (2023)
Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. CoRR (2023)
Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. ACL (1) (2023)
Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. EMNLP (Findings) (2023)
Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. CoRR (2023)
Xuechen Li, Daogao Liu, Tatsunori B. Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin-Tat Lee, Abhradeep Guha Thakurta
When Does Differentially Private Learning Not Suffer in High Dimensions? NeurIPS (2022)
Adel Elmahdy, Huseyin A. Inan, Robert Sim
Privacy Leakage in Text Classification: A Data Extraction Approach. CoRR (2022)
Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
When Does Differentially Private Learning Not Suffer in High Dimensions? CoRR (2022)
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
Differentially Private Fine-tuning of Language Models. ICLR (2022)
Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim
Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. CoRR (2022)
C. M. Downey, Wei Dai, Huseyin A. Inan, Kim Laine, Saurabh Naik, Tomasz Religa
Planting and Mitigating Memorized Content in Predictive-Text Language Models. CoRR (2022)
Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai
Active Data Pattern Extraction Attacks on Generative Language Models. CoRR (2022)
Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
Differentially Private Model Compression. CoRR (2022)
Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
Differentially Private Model Compression. NeurIPS (2022)
Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
Privacy Analysis in Language Models via Training Data Leakage Report. CoRR (2021)
Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. NAACL-HLT (2021)
Masoumeh Shafieinejad, Huseyin A. Inan, Marcello Hasegawa, Robert Sim
On Privacy and Confidentiality of Communications in Organizational Graphs. CoRR (2021)
Da Yu, Saurabh Naik, Arturs Backurs, Sivakanth Gopi, Huseyin A. Inan, Gautam Kamath, Janardhan Kulkarni, Yin Tat Lee, Andre Manoel, Lukas Wutschitz, Sergey Yekhanin, Huishuai Zhang
Differentially Private Fine-tuning of Language Models. CoRR (2021)
Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. CoRR (2021)
Saeed Mahloujifar, Huseyin A. Inan, Melissa Chase, Esha Ghosh, Marcello Hasegawa
Membership Inference on Word Embedding and Beyond. CoRR (2021)
Huseyin A. Inan, Ayfer Özgür
Strongly Explicit and Efficiently Decodable Probabilistic Group Testing. ISIT (2020)
Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
Sparse Combinatorial Group Testing. IEEE Trans. Inf. Theory 66 (5) (2020)
Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür
rTop-k: A Statistical Estimation Approach to Distributed SGD. CoRR (2020)
Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür
rTop-k: A Statistical Estimation Approach to Distributed SGD. IEEE J. Sel. Areas Inf. Theory 1 (3) (2020)
Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür
On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. IEEE Trans. Inf. Theory 65 (9) (2019)
Huseyin A. Inan, Gaurav Singh Tomar, Huapu Pan
Improving Semantic Parsing with Neural Generator-Reranker Architecture. CoRR (2019)
Huseyin A. Inan, Surin Ahn, Peter Kairouz, Ayfer Özgür
A Group Testing Approach to Random Access for Short-Packet Communication. ISIT (2019)
Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür
On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. CoRR (2018)
Huseyin A. Inan, Dor Shaviv, Ayfer Özgür
Capacity of the Energy Harvesting Gaussian MAC. IEEE Trans. Inf. Theory 64 (4) (2018)
Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür
On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. Allerton (2018)
Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
Energy-limited Massive Random Access via Noisy Group Testing. ISIT (2018)
Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
Sparse group testing codes for low-energy massive random access. Allerton (2017)
Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
Sparse Combinatorial Group Testing for Low-Energy Massive Random Access. CoRR (2017)
Huseyin A. Inan, Alper T. Erdogan, Sergio Cruces
Stationary Point Characterization for a Class of BCA Algorithms. IEEE Trans. Signal Process. 65 (20) (2017)
Huseyin A. Inan, Ayfer Özgür
Online power control for the energy harvesting multiple access channel. WiOpt (2016)
Huseyin A. Inan, Dor Shaviv, Ayfer Özgür
Capacity of the Energy Harvesting Gaussian MAC. CoRR (2016)
Huseyin A. Inan, Dor Shaviv, Ayfer Özgür
Capacity of the energy harvesting Gaussian MAC. ISIT (2016)
Huseyin A. Inan, Alper T. Erdogan
Convolutive Bounded Component Analysis Algorithms for Independent and Dependent Source Separation. IEEE Trans. Neural Networks Learn. Syst. 26 (4) (2015)
Huseyin A. Inan, Alper T. Erdogan
A Convolutive Bounded Component Analysis Framework for Potentially Nonstationary Independent and/or Dependent Sources. IEEE Trans. Signal Process. 63 (1) (2015)
Huseyin A. Inan, Alper T. Erdogan
An extended family of bounded component analysis algorithms. ACSSC (2014)
Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
Adaptive mixture methods based on Bregman divergences. Digit. Signal Process. 23 (1) (2013)
Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
Robust estimation in flat fading channels under bounded channel uncertainties. Digit. Signal Process. 23 (5) (2013)
Huseyin A. Inan, Alper T. Erdogan
A Bounded Component Analysis approach for the separation of convolutive mixtures of dependent and independent sources. ICASSP (2013)
Huseyin A. Inan, Mehmet A. Donmez, Suleyman Serdar Kozat
Adaptive mixture methods using Bregman divergences. ICASSP (2012)
Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
Adaptive Mixture Methods Based on Bregman Divergences CoRR (2012)
Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties CoRR (2012)