Inan, Huseyin A.

10 publications

NeurIPS 2025 Contextual Integrity in LLMs via Reasoning and Reinforcement Learning Guangchen Lan, Huseyin A Inan, Sahar Abdelnabi, Janardhan Kulkarni, Lukas Wutschitz, Reza Shokri, Christopher Brinton, Robert Sim

ICML 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text 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

ICLRW 2024 Differentially Private Synthetic Data via Foundation Model APIs 2: Text 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

ICLR 2024 Privacy-Preserving In-Context Learning with Differentially Private Few-Shot Generation Xinyu Tang, Richard Shin, Huseyin A Inan, Andre Manoel, Fatemehsadat Mireshghallah, Zinan Lin, Sivakanth Gopi, Janardhan Kulkarni, Robert Sim

ICLR 2024 Privately Aligning Language Models with Reinforcement Learning Fan Wu, Huseyin A Inan, Arturs Backurs, Varun Chandrasekaran, Janardhan Kulkarni, Robert Sim

ICLR 2022 Differentially Private Fine-Tuning of Language Models 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

NeurIPS 2022 Differentially Private Model Compression FatemehSadat Mireshghallah, Arturs Backurs, Huseyin A. Inan, Lukas Wutschitz, Janardhan Kulkarni

NeurIPS 2022 When Does Differentially Private Learning Not Suffer in High Dimensions? Xuechen Li, Daogao Liu, Tatsunori B Hashimoto, Huseyin A. Inan, Janardhan Kulkarni, Yin-Tat Lee, Abhradeep Guha Thakurta

NeurIPSW 2021 Membership Inference Attacks Against NLP Classification Models Virat Shejwalkar, Huseyin A Inan, Amir Houmansadr, Robert Sim

ICLR 2020 Improving Semantic Parsing with Neural Generator-Reranker Architecture Huseyin A. Inan, Gaurav Singh Tomar, Huapu Pan