Huseyin A. Inan

59 papers A* 6B 5Misc 3Journal 40Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Computer-Using World Model. CoRR Yiming Guan, Rui Yu, John Zhang, Lu Wang, Chaoyun Zhang, Liqun Li, Bo Qiao, Si Qin, He Huang, Fangkai Yang, Pu Zhao, Lukas Wutschitz, Samuel Kessler, Huseyin A. Inan, Robert Sim, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
2025	J	`jnl`	ACON: Optimizing Context Compression for Long-horizon LLM Agents. CoRR Minki Kang, Wei-Ning Chen, Dongge Han, Huseyin A. Inan, Lukas Wutschitz, Yanzhi Chen, Robert Sim, Saravan Rajmohan
2025	J	`jnl`	Contextual Integrity in LLMs via Reasoning and Reinforcement Learning. CoRR Guangchen Lan, Huseyin A. Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher G. Brinton, Robert Sim
2025	J	`jnl`	Learning GUI Grounding with Spatial Reasoning from Visual Feedback. CoRR Yu Zhao, Wei-Ning Chen, Huseyin A. Inan, Samuel Kessler, Lu Wang, Lukas Wutschitz, Fangkai Yang, Chaoyun Zhang, Pasquale Minervini, Saravan Rajmohan, Robert Sim
2025	J	`jnl`	On the Emergence of Thinking in LLMs I: Searching for the Right Intuition. CoRR Guanghao Ye, Khiem Duc Pham, Xinzhi Zhang, Sivakanth Gopi, Baolin Peng, Beibin Li, Janardhan Kulkarni, Huseyin A. Inan
2025	J	`jnl`	Simulating Environments with Reasoning Models for Agent Training. CoRR Yuetai Li, Huseyin A. Inan, Xiang Yue, Wei-Ning Chen, Lukas Wutschitz, Janardhan Kulkarni, Radha Poovendran, Robert Sim, Saravan Rajmohan
2024	J	`jnl`	Controllable Synthetic Clinical Note Generation with Privacy Guarantees. CoRR Tal Baumel, Andre Manoel, Daniel Jones, Shize Su, Huseyin A. Inan, Aaron Bornstein, Robert Sim
2024	J	`jnl`	Differentially Private Fine-tuning of Language Models. J. Priv. Confidentiality 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
2024	A*	`conf`	Differentially Private Synthetic Data via Foundation Model APIs 2: Text. ICML 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
2024	J	`jnl`	Differentially Private Synthetic Data via Foundation Model APIs 2: Text. CoRR 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
2024	J	`jnl`	Differentially Private Training of Mixture of Experts Models. CoRR Pierre Tholoniat, Huseyin A. Inan, Janardhan Kulkarni, Robert Sim
2024	A*	`conf`	Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. ICLR Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
2024	A*	`conf`	Privately Aligning Language Models with Reinforcement Learning. ICLR Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim
2023	—	`conf`	Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. EMNLP (Findings) Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
2023	J	`jnl`	Assessing Privacy Risks in Language Models: A Case Study on Summarization Tasks. CoRR Ruixiang Tang, Gord Lueck, Rodolfo Quispe, Huseyin A. Inan, Janardhan Kulkarni, Xia Hu
2023	J	`jnl`	Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation. CoRR Xinyu Tang, Richard Shin, Huseyin A. Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim
2023	J	`jnl`	Privately Aligning Language Models with Reinforcement Learning. CoRR Fan Wu, Huseyin A. Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim
2023	—	`conf`	Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. ACL (1) Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Hoda Shajari, Huan Sun, David Levitan, Robert Sim
2022	J	`jnl`	Active Data Pattern Extraction Attacks on Generative Language Models. CoRR Bargav Jayaraman, Esha Ghosh, Huseyin A. Inan, Melissa Chase, Sambuddha Roy, Wei Dai
2022	A*	`conf`	Differentially Private Fine-tuning of Language Models. ICLR 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
2022	A*	`conf`	Differentially Private Model Compression. NeurIPS Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
2022	J	`jnl`	Differentially Private Model Compression. CoRR Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni
2022	J	`jnl`	Planting and Mitigating Memorized Content in Predictive-Text Language Models. CoRR C. M. Downey, Wei Dai, Huseyin A. Inan, Kim Laine, Saurabh Naik, Tomasz Religa
2022	J	`jnl`	Privacy Leakage in Text Classification: A Data Extraction Approach. CoRR Adel Elmahdy, Huseyin A. Inan, Robert Sim
2022	J	`jnl`	Synthetic Text Generation with Differential Privacy: A Simple and Practical Recipe. CoRR Xiang Yue, Huseyin A. Inan, Xuechen Li, Girish Kumar, Julia McAnallen, Huan Sun, David Levitan, Robert Sim
2022	A*	`conf`	When Does Differentially Private Learning Not Suffer in High Dimensions? NeurIPS Xuechen Li, Daogao Liu, Tatsunori B. Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
2022	J	`jnl`	When Does Differentially Private Learning Not Suffer in High Dimensions? CoRR Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin Tat Lee, Abhradeep Guha Thakurta
2021	J	`jnl`	Differentially Private Fine-tuning of Language Models. CoRR 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
2021	J	`jnl`	Membership Inference on Word Embedding and Beyond. CoRR Saeed Mahloujifar, Huseyin A. Inan, Melissa Chase, Esha Ghosh, Marcello Hasegawa
2021	J	`jnl`	On Privacy and Confidentiality of Communications in Organizational Graphs. CoRR Masoumeh Shafieinejad, Huseyin A. Inan, Marcello Hasegawa, Robert Sim
2021	J	`jnl`	Privacy Analysis in Language Models via Training Data Leakage Report. CoRR Huseyin A. Inan, Osman Ramadan, Lukas Wutschitz, Daniel Jones, Victor Rühle, James Withers, Robert Sim
2021	J	`jnl`	Privacy Regularization: Joint Privacy-Utility Optimization in Language Models. CoRR Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2021	—	`conf`	Privacy Regularization: Joint Privacy-Utility Optimization in LanguageModels. NAACL-HLT Fatemehsadat Mireshghallah, Huseyin A. Inan, Marcello Hasegawa, Victor Rühle, Taylor Berg-Kirkpatrick, Robert Sim
2020	J	`jnl`	Sparse Combinatorial Group Testing. IEEE Trans. Inf. Theory Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
2020	B	`conf`	Strongly Explicit and Efficiently Decodable Probabilistic Group Testing. ISIT Huseyin A. Inan, Ayfer Özgür
2020	J	`jnl`	rTop-k: A Statistical Estimation Approach to Distributed SGD. CoRR Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür
2020	J	`jnl`	rTop-k: A Statistical Estimation Approach to Distributed SGD. IEEE J. Sel. Areas Inf. Theory Leighton Pate Barnes, Huseyin A. Inan, Berivan Isik, Ayfer Özgür
2019	B	`conf`	A Group Testing Approach to Random Access for Short-Packet Communication. ISIT Huseyin A. Inan, Surin Ahn, Peter Kairouz, Ayfer Özgür
2019	J	`jnl`	Improving Semantic Parsing with Neural Generator-Reranker Architecture. CoRR Huseyin A. Inan, Gaurav Singh Tomar, Huapu Pan
2019	J	`jnl`	On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. IEEE Trans. Inf. Theory Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür
2018	J	`jnl`	Capacity of the Energy Harvesting Gaussian MAC. IEEE Trans. Inf. Theory Huseyin A. Inan, Dor Shaviv, Ayfer Özgür
2018	B	`conf`	Energy-limited Massive Random Access via Noisy Group Testing. ISIT Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
2018	—	`conf`	On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. Allerton Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür
2018	J	`jnl`	On the Optimality of the Kautz-Singleton Construction in Probabilistic Group Testing. CoRR Huseyin A. Inan, Peter Kairouz, Mary Wootters, Ayfer Özgür
2017	J	`jnl`	Sparse Combinatorial Group Testing for Low-Energy Massive Random Access. CoRR Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
2017	—	`conf`	Sparse group testing codes for low-energy massive random access. Allerton Huseyin A. Inan, Peter Kairouz, Ayfer Özgür
2017	J	`jnl`	Stationary Point Characterization for a Class of BCA Algorithms. IEEE Trans. Signal Process. Huseyin A. Inan, Alper T. Erdogan, Sergio Cruces
2016	J	`jnl`	Capacity of the Energy Harvesting Gaussian MAC. CoRR Huseyin A. Inan, Dor Shaviv, Ayfer Özgür
2016	B	`conf`	Capacity of the energy harvesting Gaussian MAC. ISIT Huseyin A. Inan, Dor Shaviv, Ayfer Özgür
2016	B	`conf`	Online power control for the energy harvesting multiple access channel. WiOpt Huseyin A. Inan, Ayfer Özgür
2015	J	`jnl`	A Convolutive Bounded Component Analysis Framework for Potentially Nonstationary Independent and/or Dependent Sources. IEEE Trans. Signal Process. Huseyin A. Inan, Alper T. Erdogan
2015	J	`jnl`	Convolutive Bounded Component Analysis Algorithms for Independent and Dependent Source Separation. IEEE Trans. Neural Networks Learn. Syst. Huseyin A. Inan, Alper T. Erdogan
2014	Misc	`conf`	An extended family of bounded component analysis algorithms. ACSSC Huseyin A. Inan, Alper T. Erdogan
2013	Misc	`conf`	A Bounded Component Analysis approach for the separation of convolutive mixtures of dependent and independent sources. ICASSP Huseyin A. Inan, Alper T. Erdogan
2013	J	`jnl`	Adaptive mixture methods based on Bregman divergences. Digit. Signal Process. Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
2013	J	`jnl`	Robust estimation in flat fading channels under bounded channel uncertainties. Digit. Signal Process. Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
2012	J	`jnl`	Adaptive Mixture Methods Based on Bregman Divergences CoRR Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat
2012	Misc	`conf`	Adaptive mixture methods using Bregman divergences. ICASSP Huseyin A. Inan, Mehmet A. Donmez, Suleyman Serdar Kozat
2012	J	`jnl`	Robust Estimation in Rayleigh Fading Channels Under Bounded Channel Uncertainties CoRR Mehmet A. Donmez, Huseyin A. Inan, Suleyman Serdar Kozat