Analysis and Detection of Reading Miscues for Interactive Literacy Tutors. - Katherine Lee; Andreas Hagen; Nicholas Romanyshyn; Sean Martin; Bryan L. Pellom (COLING, 2004)

A computer-aided diagnosis system to identify regions of pathologic change in temporal subtraction images of the chest. - Charles Ho; Katherine Lee; Samuel G. Armato (Computer-Aided Diagnosis, 2015)

WT5?! Training Text-to-Text Models to Explain their Predictions. - Sharan Narang; Colin Raffel; Katherine Lee; Adam Roberts; Noah Fiedel; Karishma Malkan (CoRR, 2020)

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer. - Colin Raffel; Noam Shazeer; Adam Roberts; Katherine Lee; Sharan Narang; Michael Matena; Yanqi Zhou; Wei Li 133; Peter J. Liu (J. Mach. Learn. Res., 2020)

Predictive Modeling of Healthcare Utilization Metrics Identifies Adult Patients at High Risk for Suicide Attempt in the Primary Care Setting. - Katherine Lee; Colin G. Walsh (AMIA, 2021)

Extracting Training Data from Large Language Models. - Nicholas Carlini; Florian Tramèr; Eric Wallace; Matthew Jagielski; Ariel Herbert-Voss; Katherine Lee; Adam Roberts; Tom B. Brown; Dawn Song; Úlfar Erlingsson; Alina Oprea; Colin Raffel (USENIX Security Symposium, 2021)

Deduplicating Training Data Makes Language Models Better. - Katherine Lee; Daphne Ippolito; Andrew Nystrom; Chiyuan Zhang; Douglas Eck; Chris Callison-Burch; Nicholas Carlini (ACL (1), 2022)

What Does it Mean for a Language Model to Preserve Privacy? - Hannah Brown; Katherine Lee; Fatemehsadat Mireshghallah; Reza Shokri; Florian Tramèr (FAccT, 2022)

Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy. - Daphne Ippolito; Florian Tramèr; Milad Nasr; Chiyuan Zhang; Matthew Jagielski; Katherine Lee; Christopher A. Choquette-Choo; Nicholas Carlini (CoRR, 2022)

Quantifying Memorization Across Neural Language Models. - Nicholas Carlini; Daphne Ippolito; Matthew Jagielski; Katherine Lee; Florian Tramèr; Chiyuan Zhang (ICLR, 2023)

Measuring Forgetting of Memorized Training Examples. - Matthew Jagielski; Om Thakkar 001; Florian Tramèr; Daphne Ippolito; Katherine Lee; Nicholas Carlini; Eric Wallace; Shuang Song 001; Abhradeep Guha Thakurta; Nicolas Papernot; Chiyuan Zhang (ICLR, 2023)

Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System. - Daphne Ippolito; Nicholas Carlini; Katherine Lee; Milad Nasr; Yun William Yu (INLG, 2023)

Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy. - Daphne Ippolito; Florian Tramèr; Milad Nasr; Chiyuan Zhang; Matthew Jagielski; Katherine Lee; Christopher A. Choquette-Choo; Nicholas Carlini (INLG, 2023)

Students Parrot Their Teachers: Membership Inference on Model Distillation. - Matthew Jagielski; Milad Nasr; Katherine Lee; Christopher A. Choquette-Choo; Nicholas Carlini; Florian Tramèr (NeurIPS, 2023)

Counterfactual Memorization in Neural Language Models. - Chiyuan Zhang; Daphne Ippolito; Katherine Lee; Matthew Jagielski; Florian Tramèr; Nicholas Carlini (NeurIPS, 2023)

Students Parrot Their Teachers: Membership Inference on Model Distillation. - Matthew Jagielski; Milad Nasr; Christopher A. Choquette-Choo; Katherine Lee; Nicholas Carlini (CoRR, 2023)

Are aligned neural networks adversarially aligned? - Nicholas Carlini; Milad Nasr; Christopher A. Choquette-Choo; Matthew Jagielski; Irena Gao; Anas Awadalla; Pang Wei Koh; Daphne Ippolito; Katherine Lee; Florian Tramèr; Ludwig Schmidt (CoRR, 2023)

MADLAD-400: A Multilingual And Document-Level Large Audited Dataset. - Sneha Kudugunta; Isaac Caswell; Biao Zhang 006; Xavier Garcia; Christopher A. Choquette-Choo; Katherine Lee; Derrick Xin; Aditya Kusupati; Romi Stella; Ankur Bapna; Orhan Firat (CoRR, 2023)

Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain. - Katherine Lee; A. Feder Cooper; James Grimmelmann (CoRR, 2023)

Report of the 1st Workshop on Generative AI and Law. - 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; et al. (CoRR, 2023)

Scalable Extraction of Training Data from (Production) Language Models. - Milad Nasr; Nicholas Carlini; Jonathan Hayase; Matthew Jagielski; A. Feder Cooper; Daphne Ippolito; Christopher A. Choquette-Choo; Eric Wallace; Florian Tramèr; Katherine Lee (CoRR, 2023)

PaLM: Scaling Language Modeling with Pathways. - Aakanksha Chowdhery; Sharan Narang; Jacob Devlin; Maarten Bosma; Gaurav Mishra; Adam Roberts; Paul Barham 001; Hyung Won Chung; Charles Sutton; Sebastian Gehrmann; Parker Schuh; Kensen Shi; et al. (J. Mach. Learn. Res., 2023)

Arbitrariness and Social Prediction: The Confounding Role of Variance in Fair Classification. - A. Feder Cooper; Katherine Lee; Madiha Zahrah Choksi; Solon Barocas; Christopher De Sa; James Grimmelmann; Jon M. Kleinberg; Siddhartha Sen 001; Baobao Zhang (AAAI, 2024)

Talkin' 'Bout AI Generation: Copyright and the Generative-AI Supply Chain (The Short Version). - Katherine Lee; A. Feder Cooper; James Grimmelmann (CSLAW, 2024)

Stealing part of a production language model. - Nicholas Carlini; Daniel Paleka; Krishnamurthy Dj Dvijotham; Thomas Steinke 002; Jonathan Hayase; A. Feder Cooper; Katherine Lee; Matthew Jagielski; Milad Nasr; Arthur Conmy; Eric Wallace; David Rolnick; et al. (ICML, 2024)

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity. - Shayne Longpre; Gregory Yauney; Emily Reif; Katherine Lee; Adam Roberts; Barret Zoph; Denny Zhou; Jason Wei; Kevin Robinson; David Mimno; Daphne Ippolito (NAACL-HLT, 2024)

An Abundance of Katherines: The Game Theory of Baby Naming. - Katy Blumer; Kate Donahue; Katie Fritz; Kate Ivanovich; Katherine Lee; Katie Luo; Cathy Meng; Katie Van Koevering (CoRR, 2024)

LMD3: Language Model Data Density Dependence. - John Kirchenbauer; Garrett Honke; Gowthami Somepalli; Jonas Geiping; Daphne Ippolito; Katherine Lee; Tom Goldstein; David Andre (CoRR, 2024)

Machine Unlearning Doesn't Do What You Think: Lessons for Generative AI Policy, Research, and Practice. - 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; et al. (CoRR, 2024)

Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training. - Jaydeep Borkar; Matthew Jagielski; Katherine Lee; Niloofar Mireshghallah; David A. Smith; Christopher A. Choquette-Choo (ACL (Findings), 2025)

Scalable Extraction of Training Data from Aligned, Production Language Models. - Milad Nasr; Javier Rando; Nicholas Carlini; Jonathan Hayase; Matthew Jagielski; A. Feder Cooper; Daphne Ippolito; Christopher A. Choquette-Choo; Florian Tramèr; Katherine Lee (ICLR, 2025)

Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon. - USVSN Sai Prashanth; Alvin Deng; Kyle O'Brien; Jyothir S. V; Mohammad Aflah Khan; Jaydeep Borkar; Christopher A. Choquette-Choo; Jacob Ray Fuehne; Stella Biderman; Tracy Ke; Katherine Lee; Naomi Saphra (ICLR, 2025)

Measuring memorization in language models via probabilistic extraction. - Jamie Hayes; Marika Swanberg; Harsh Chaudhari; Itay Yona; Ilia Shumailov; Milad Nasr; Christopher A. Choquette-Choo; Katherine Lee; A. Feder Cooper (NAACL (Long Papers), 2025)

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards. - Yangsibo Huang; Milad Nasr; Anastasios Angelopoulos; Nicholas Carlini; Wei-Lin Chiang; Christopher A. Choquette-Choo; Daphne Ippolito; Matthew Jagielski; Katherine Lee; Ken Ziyu Liu; Ion Stoica; Florian Tramèr; et al. (CoRR, 2025)

Strong Membership Inference Attacks on Massive Datasets and (Moderately) Large Language Models. - 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; et al. (CoRR, 2025)