Niloofar Mireshghallah

50 papers A* 6Journal 37Unranked 6

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Alignment Whack-a-Mole : Finetuning Activates Verbatim Recall of Copyrighted Books in Large Language Models. CoRR Xinyue Liu, Niloofar Mireshghallah, Jane C. Ginsburg, Tuhin Chakrabarty
2026	J	`jnl`	Learning to Reason in 13 Parameters. CoRR John X. Morris, Niloofar Mireshghallah, Mark Ibrahim, Saeed Mahloujifar
2026	J	`jnl`	Memorization Dynamics in Knowledge Distillation for Language Models. CoRR Jaydeep Borkar, Karan Chadha, Niloofar Mireshghallah, Yuchen Zhang, Irina-Elena Veliche, Archi Mitra, David A. Smith, Zheng Xu, Diego Garcia-Olano
2026	J	`jnl`	Privasis: Synthesizing the Largest "Public" Private Dataset from Scratch. CoRR Hyunwoo Kim, Niloofar Mireshghallah, Michael Duan, Rui Xin, Shuyue Stella Li, Jaehun Jung, David Acuna, Qi Pang, Hanshen Xiao, G. Edward Suh, Sewoong Oh, Yulia Tsvetkov, Pang Wei Koh, Yejin Choi
2026	J	`jnl`	Quantifying the Effect of Test Set Contamination on Generative Evaluations. CoRR Rylan Schaeffer, Joshua Kazdan, Baber Abbasi, Ken Ziyu Liu, Brando Miranda, Ahmed Ahmed, Abhay Puri, Niloofar Mireshghallah, Sanmi Koyejo
2025	J	`jnl`	A False Sense of Privacy: Evaluating Textual Data Sanitization Beyond Surface-level Privacy Leakage. CoRR Rui Xin, Niloofar Mireshghallah, Shuyue Stella Li, Michael Duan, Hyunwoo Kim, Yejin Choi, Yulia Tsvetkov, Sewoong Oh, Pang Wei Koh
2025	A*	`conf`	AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. ICLR Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi
2025	—	`conf`	ALPACA AGAINST VICUNA: Using LLMs to Uncover Memorization of LLMs. NAACL (Long Papers) Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana
2025	J	`jnl`	Bob's Confetti: Phonetic Memorization Attacks in Music and Video Generation. CoRR Jaechul Roh, Zachary Novack, Yuefeng Peng, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Amir Houmansadr
2025	J	`jnl`	CIMemories: A Compositional Benchmark for Contextual Integrity of Persistent Memory in LLMs. CoRR Niloofar Mireshghallah, Neal Mangaokar, Narine Kokhlikyan, Arman Zharmagambetov, Manzil Zaheer, Saeed Mahloujifar, Kamalika Chaudhuri
2025	J	`jnl`	Can Large Language Models Really Recognize Your Name? CoRR Dzung Pham, Peter Kairouz, Niloofar Mireshghallah, Eugene Bagdasarian, Chau Minh Pham, Amir Houmansadr
2025	—	`conf`	Differentially Private Learning Needs Better Model Initialization and Self-Distillation. NAACL (Long Papers) Ivoline C. Ngong, Joseph P. Near, Niloofar Mireshghallah
2025	J	`jnl`	Harnessing Optimization Dynamics for Curvature-Informed Model Merging. CoRR Pouria Mahdavinia, Hamed Mahdavi, Niloofar Mireshghallah, Mehrdad Mahdavi
2025	—	`conf`	Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. NAACL (Long Papers) Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Maria Antoniak, Bill Yuchen Lin, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi
2025	J	`jnl`	Information-Guided Identification of Training Data Imprint in (Proprietary) Large Language Models. CoRR Abhilasha Ravichander, Jillian Fisher, Taylor Sorensen, Ximing Lu, Yuchen Lin, Maria Antoniak, Niloofar Mireshghallah, Chandra Bhagavatula, Yejin Choi
2025	J	`jnl`	Operationalizing Data Minimization for Privacy-Preserving LLM Prompting. CoRR Jijie Zhou, Niloofar Mireshghallah, Tianshi Li
2025	J	`jnl`	ParaPO: Aligning Language Models to Reduce Verbatim Reproduction of Pre-training Data. CoRR Tong Chen, Faeze Brahman, Jiacheng Liu, Niloofar Mireshghallah, Weijia Shi, Pang Wei Koh, Luke Zettlemoyer, Hannaneh Hajishirzi
2025	J	`jnl`	Position: Privacy Is Not Just Memorization! CoRR Niloofar Mireshghallah, Tianshi Li
2025	—	`conf`	Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training. ACL (Findings) Jaydeep Borkar, Matthew Jagielski, Katherine Lee, Niloofar Mireshghallah, David A. Smith, Christopher A. Choquette-Choo
2025	J	`jnl`	Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training. CoRR Jaydeep Borkar, Matthew Jagielski, Katherine Lee, Niloofar Mireshghallah, David A. Smith, Christopher A. Choquette-Choo
2025	J	`jnl`	Privacy-Preserving LLM Interaction with Socratic Chain-of-Thought Reasoning and Homomorphically Encrypted Vector Databases. CoRR Yubeen Bae, Minchan Kim, Jaejin Lee, Sangbum Kim, Jaehyung Kim, Yejin Choi, Niloofar Mireshghallah
2025	J	`jnl`	RefGrader: Automated Grading of Mathematical Competition Proofs using Agentic Workflows. CoRR Hamed Mahdavi, Pouria Mahdavinia, Samira Malek, Pegah Mohammadipour, Alireza Hashemi, Majid Daliri, Alireza Farhadi, Amir Khasahmadi, Niloofar Mireshghallah, Vasant G. Honavar
2025	J	`jnl`	Reinforcement Learning Improves Traversal of Hierarchical Knowledge in LLMs. CoRR Renfei Zhang, Manasa Kaniselvan, Niloofar Mireshghallah
2025	J	`jnl`	Spectrum Tuning: Post-Training for Distributional Coverage and In-Context Steerability. CoRR Taylor Sorensen, Benjamin Newman, Jared Moore, Chan Young Park, Jillian Fisher, Niloofar Mireshghallah, Liwei Jiang, Yejin Choi
2025	J	`jnl`	Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models. CoRR Jamie Hayes, Ilia Shumailov, Christopher A. Choquette-Choo, Matthew Jagielski, Georgios Kaissis, Katherine Lee, Milad Nasr, Sahra Ghalebikesabi, Niloofar Mireshghallah, Meenatchi Sundaram Mutu Selva Annamalai, Igor Shilov, Matthieu Meeus, Yves-Alexandre de Montjoye, Franziska Boenisch, Adam Dziedzic, A. Feder Cooper
2025	J	`jnl`	Synthetic Data Can Mislead Evaluations: Membership Inference as Machine Text Detection. CoRR Ali Naseh, Niloofar Mireshghallah
2025	J	`jnl`	The Surprising Effectiveness of Membership Inference with Simple N-Gram Coverage. CoRR Skyler Hallinan, Jaehun Jung, Melanie Sclar, Ximing Lu, Abhilasha Ravichander, Sahana Ramnath, Yejin Choi, Sai Praneeth Karimireddy, Niloofar Mireshghallah, Xiang Ren
2024	J	`jnl`	A Roadmap to Pluralistic Alignment. CoRR Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi
2024	J	`jnl`	AI as Humanity's Salieri: Quantifying Linguistic Creativity of Language Models via Systematic Attribution of Machine Text against Web Text. CoRR Ximing Lu, Melanie Sclar, Skyler Hallinan, Niloofar Mireshghallah, Jiacheng Liu, Seungju Han, Allyson Ettinger, Liwei Jiang, Khyathi Raghavi Chandu, Nouha Dziri, Yejin Choi
2024	J	`jnl`	Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs. CoRR Aly M. Kassem, Omar Mahmoud, Niloofar Mireshghallah, Hyunwoo Kim, Yulia Tsvetkov, Yejin Choi, Sherif Saad, Santu Rana
2024	J	`jnl`	Breaking News: Case Studies of Generative AI's Use in Journalism. CoRR Natalie Grace Brigham, Chongjiu Gao, Tadayoshi Kohno, Franziska Roesner, Niloofar Mireshghallah
2024	A*	`conf`	Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. ICLR Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
2024	A*	`conf`	CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. EMNLP Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
2024	J	`jnl`	CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation. CoRR Tong Chen, Akari Asai, Niloofar Mireshghallah, Sewon Min, James Grimmelmann, Yejin Choi, Hannaneh Hajishirzi, Luke Zettlemoyer, Pang Wei Koh
2024	J	`jnl`	Differentially Private Learning Needs Better Model Initialization and Self-Distillation. CoRR Ivoline C. Ngong, Joseph P. Near, Niloofar Mireshghallah
2024	J	`jnl`	Do Membership Inference Attacks Work on Large Language Models? CoRR Michael Duan, Anshuman Suri, Niloofar Mireshghallah, Sewon Min, Weijia Shi, Luke Zettlemoyer, Yulia Tsvetkov, Yejin Choi, David Evans, Hannaneh Hajishirzi
2024	J	`jnl`	HAICOSYSTEM: An Ecosystem for Sandboxing Safety Risks in Human-AI Interactions. CoRR Xuhui Zhou, Hyunwoo Kim, Faeze Brahman, Liwei Jiang, Hao Zhu, Ximing Lu, Frank Xu, Bill Yuchen Lin, Yejin Choi, Niloofar Mireshghallah, Ronan Le Bras, Maarten Sap
2024	—	`conf`	LatticeGen: Hiding Generated Text in a Lattice for Privacy-Aware Large Language Model Generation on Cloud. NAACL-HLT (Findings) Mengke Zhang, Tianxing He, Tianle Wang, Lu Mi, Niloofar Mireshghallah, Binyi Chen, Hao Wang, Yulia Tsvetkov
2024	J	`jnl`	Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. CoRR A. Feder Cooper, Christopher A. Choquette-Choo, Miranda Bogen, Matthew Jagielski, Katja Filippova, Ken Ziyu Liu, Alexandra Chouldechova, Jamie Hayes, Yangsibo Huang, Niloofar Mireshghallah, Ilia Shumailov, Eleni Triantafillou, Peter Kairouz, Nicole Mitchell, Percy Liang, Daniel E. Ho, Yejin Choi, Sanmi Koyejo, Fernando A. Delgado, James Grimmelmann, Vitaly Shmatikov, Christopher De Sa, Solon Barocas, Amy Cyphert, Mark A. Lemley, danah boyd, Jennifer Wortman Vaughan, Miles Brundage, David Bau, Seth Neel, Abigail Z. Jacobs, Andreas Terzis, Hanna M. Wallach, Nicolas Papernot, Katherine Lee
2024	A*	`conf`	Position: A Roadmap to Pluralistic Alignment. ICML Taylor Sorensen, Jared Moore, Jillian Fisher, Mitchell L. Gordon, Niloofar Mireshghallah, Christopher Michael Rytting, Andre Ye, Liwei Jiang, Ximing Lu, Nouha Dziri, Tim Althoff, Yejin Choi
2024	—	`conf`	Smaller Language Models are Better Zero-shot Machine-Generated Text Detectors. EACL (2) Niloofar Mireshghallah, Justus Mattern, Sicun Gao, Reza Shokri, Taylor Berg-Kirkpatrick
2024	J	`jnl`	Trust No Bot: Discovering Personal Disclosures in Human-LLM Conversations in the Wild. CoRR Niloofar Mireshghallah, Maria Antoniak, Yash More, Yejin Choi, Golnoosh Farnadi
2024	A*	`conf`	WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. NeurIPS Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2024	J	`jnl`	WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models. CoRR Liwei Jiang, Kavel Rao, Seungju Han, Allyson Ettinger, Faeze Brahman, Sachin Kumar, Niloofar Mireshghallah, Ximing Lu, Maarten Sap, Yejin Choi, Nouha Dziri
2023	J	`jnl`	A Block Metropolis-Hastings Sampler for Controllable Energy-based Text Generation. CoRR Jarad Forristal, Niloofar Mireshghallah, Greg Durrett, Taylor Berg-Kirkpatrick
2023	—	`—`	Auditing and Mitigating Safety Risks in Large Language Models Niloofar Mireshghallah
2023	J	`jnl`	Can LLMs Keep a Secret? Testing Privacy Implications of Language Models via Contextual Integrity Theory. CoRR Niloofar Mireshghallah, Hyunwoo Kim, Xuhui Zhou, Yulia Tsvetkov, Maarten Sap, Reza Shokri, Yejin Choi
2023	J	`jnl`	Misusing Tools in Large Language Models With Visual Adversarial Examples. CoRR Xiaohan Fu, Zihan Wang, Shuheng Li, Rajesh K. Gupta, Niloofar Mireshghallah, Taylor Berg-Kirkpatrick, Earlence Fernandes
2023	J	`jnl`	Report of the 1st Workshop on Generative AI and Law. CoRR A. Feder Cooper, Katherine Lee, James Grimmelmann, Daphne Ippolito, Christopher Callison-Burch, Christopher A. Choquette-Choo, Niloofar Mireshghallah, Miles Brundage, David Mimno, Madiha Zahrah Choksi, Jack M. Balkin, Nicholas Carlini, Christopher De Sa, Jonathan Frankle, Deep Ganguli, Bryant Gipson, Andres Guadamuz, Swee Leng Harris, Abigail Z. Jacobs, Elizabeth Joh, Gautam Kamath, Mark A. Lemley, Cass Matthews, Christine McLeavey, Corynne McSherry, Milad Nasr, Paul Ohm, Adam Roberts, Tom Rubin, Pamela Samuelson, Ludwig Schubert, Kristen Vaccaro, Luis Villa, Felix Wu, Elana Zeide
2023	A*	`conf`	Simple Temporal Adaptation to Changing Label Sets: Hashtag Prediction via Dense KNN. EMNLP Niloofar Mireshghallah, Nikolai Vogler, Junxian He, Omar Florez, Ahmed El-Kishky, Taylor Berg-Kirkpatrick