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ORCIDHuseyin A. Inan
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2020 – today
- 2024
[c19]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- [c18]Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim:
Privately Aligning Language Models with Reinforcement Learning. ICLR 2024 - [c17]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. ICML 2024 - [i24]Pierre Tholoniat, Huseyin A. Inan, Janardhan Kulkarni, Robert Sim:
Differentially Private Training of Mixture of Experts Models. CoRR abs/2402.07334 (2024) - [i23]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 abs/2403.01749 (2024) - [i22]Tal Baumel, Andre Manoel, Daniel Jones, Shize Su, Huseyin A. Inan, Aaron Bornstein, Robert Sim:
Controllable Synthetic Clinical Note Generation with Privacy Guarantees. CoRR abs/2409.07809 (2024) - 2023
- [c16]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: 1321-1342 - [c15]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: 15406-15418 - [i21]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 abs/2309.11765 (2023) - [i20]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 abs/2310.13291 (2023) - [i19]Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim:
Privately Aligning Language Models with Reinforcement Learning. CoRR abs/2310.16960 (2023) - 2022
- [c14]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 - [c13]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 - [c12]Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni:
Differentially Private Model Compression. NeurIPS 2022 - [i18]Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni:
Differentially Private Model Compression. CoRR abs/2206.01838 (2022) - [i17]Adel Elmahdy, Huseyin A. Inan, Robert Sim:
Privacy Leakage in Text Classification: A Data Extraction Approach. CoRR abs/2206.04591 (2022) - [i16]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 abs/2207.00160 (2022) - [i15]Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai:
Active Data Pattern Extraction Attacks on Generative Language Models. CoRR abs/2207.10802 (2022) - [i14]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 abs/2210.14348 (2022) - [i13]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 abs/2212.08619 (2022) - 2021
- [c11]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: 3799-3807 - [i12]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 abs/2101.05405 (2021) - [i11]Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim:
Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. CoRR abs/2103.07567 (2021) - [i10]Masoumeh Shafieinejad, Huseyin A. Inan, Marcello Hasegawa, Robert Sim:
On Privacy and Confidentiality of Communications in Organizational Graphs. CoRR abs/2105.13418 (2021) - [i9]Saeed Mahloujifar, Huseyin A. Inan, Melissa Chase, Esha Ghosh, Marcello Hasegawa:
Membership Inference on Word Embedding and Beyond. CoRR abs/2106.11384 (2021) - [i8]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 abs/2110.06500 (2021) - 2020
- [j9]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): 897-907 (2020) - [j8]Huseyin A. Inan, Peter Kairouz, Ayfer Özgür:
Sparse Combinatorial Group Testing. IEEE Trans. Inf. Theory 66(5): 2729-2742 (2020) - [c10]Huseyin A. Inan, Ayfer Özgür:
Strongly Explicit and Efficiently Decodable Probabilistic Group Testing. ISIT 2020: 525-530 - [i7]Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür:
rTop-k: A Statistical Estimation Approach to Distributed SGD. CoRR abs/2005.10761 (2020)
2010 – 2019
- 2019
- [j7]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): 5592-5603 (2019) - [c9]Huseyin A. Inan, Surin Ahn, Peter Kairouz, Ayfer Özgür:
A Group Testing Approach to Random Access for Short-Packet Communication. ISIT 2019: 96-100 - [i6]Huseyin A. Inan, Gaurav Singh Tomar, Huapu Pan:
Improving Semantic Parsing with Neural Generator-Reranker Architecture. CoRR abs/1909.12764 (2019) - 2018
- [j6]Huseyin A. Inan, Dor Shaviv, Ayfer Özgür:
Capacity of the Energy Harvesting Gaussian MAC. IEEE Trans. Inf. Theory 64(4): 2347-2360 (2018) - [c8]Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür:
On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. Allerton 2018: 188-195 - [c7]Huseyin A. Inan, Peter Kairouz, Ayfer Özgür:
Energy-limited Massive Random Access via Noisy Group Testing. ISIT 2018: 1101-1105 - [i5]Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür:
On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. CoRR abs/1808.01457 (2018) - 2017
- [j5]Huseyin A. Inan, Alper T. Erdogan, Sergio Cruces:
Stationary Point Characterization for a Class of BCA Algorithms. IEEE Trans. Signal Process. 65(20): 5437-5452 (2017) - [c6]Huseyin A. Inan, Peter Kairouz, Ayfer Özgür:
Sparse group testing codes for low-energy massive random access. Allerton 2017: 658-665 - [i4]Huseyin A. Inan, Peter Kairouz, Ayfer Özgür:
Sparse Combinatorial Group Testing for Low-Energy Massive Random Access. CoRR abs/1711.05403 (2017) - 2016
- [c5]Huseyin A. Inan, Dor Shaviv, Ayfer Özgür:
Capacity of the energy harvesting Gaussian MAC. ISIT 2016: 2744-2748 - [c4]Huseyin A. Inan, Ayfer Özgür:
Online power control for the energy harvesting multiple access channel. WiOpt 2016: 16-21 - [i3]Huseyin A. Inan, Dor Shaviv, Ayfer Özgür:
Capacity of the Energy Harvesting Gaussian MAC. CoRR abs/1608.05793 (2016) - 2015
- [j4]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): 697-708 (2015) - [j3]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): 18-30 (2015) - 2014
- [c3]Huseyin A. Inan, Alper T. Erdogan:
An extended family of bounded component analysis algorithms. ACSSC 2014: 442-445 - 2013
- [j2]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Adaptive mixture methods based on Bregman divergences. Digit. Signal Process. 23(1): 86-97 (2013) - [j1]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Robust estimation in flat fading channels under bounded channel uncertainties. Digit. Signal Process. 23(5): 1592-1601 (2013) - [c2]Huseyin A. Inan, Alper T. Erdogan:
A Bounded Component Analysis approach for the separation of convolutive mixtures of dependent and independent sources. ICASSP 2013: 3223-3227 - 2012
- [c1]Huseyin A. Inan, Mehmet A. Donmez, Suleyman Serdar Kozat:
Adaptive mixture methods using Bregman divergences. ICASSP 2012: 3781-3784 - [i2]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Adaptive Mixture Methods Based on Bregman Divergences. CoRR abs/1203.4598 (2012) - [i1]Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat:
Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties. CoRR abs/1209.6405 (2012)
Coauthor Index
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last updated on 2024-10-21 20:28 CEST by the dblp team
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