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John Kirchenbauer

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LMD3: Language Model Data Density Dependence

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May 10, 2024
John Kirchenbauer, Garrett Honke, Gowthami Somepalli, Jonas Geiping, Daphne Ippolito, Katherine Lee, Tom Goldstein, David Andre

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NEFTune: Noisy Embeddings Improve Instruction Finetuning

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Oct 10, 2023
Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian R. Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein

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Baseline Defenses for Adversarial Attacks Against Aligned Language Models

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Sep 04, 2023
Neel Jain, Avi Schwarzschild, Yuxin Wen, Gowthami Somepalli, John Kirchenbauer, Ping-yeh Chiang, Micah Goldblum, Aniruddha Saha, Jonas Geiping, Tom Goldstein

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On the Reliability of Watermarks for Large Language Models

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Jun 30, 2023
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Manli Shu, Khalid Saifullah, Kezhi Kong, Kasun Fernando, Aniruddha Saha, Micah Goldblum, Tom Goldstein

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Bring Your Own Data! Self-Supervised Evaluation for Large Language Models

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Jun 29, 2023
Neel Jain, Khalid Saifullah, Yuxin Wen, John Kirchenbauer, Manli Shu, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein

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Tree-Ring Watermarks: Fingerprints for Diffusion Images that are Invisible and Robust

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Jun 01, 2023
Yuxin Wen, John Kirchenbauer, Jonas Geiping, Tom Goldstein

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Hard Prompts Made Easy: Gradient-Based Discrete Optimization for Prompt Tuning and Discovery

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Feb 07, 2023
Yuxin Wen, Neel Jain, John Kirchenbauer, Micah Goldblum, Jonas Geiping, Tom Goldstein

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A Watermark for Large Language Models

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Jan 27, 2023
John Kirchenbauer, Jonas Geiping, Yuxin Wen, Jonathan Katz, Ian Miers, Tom Goldstein

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What is Your Metric Telling You? Evaluating Classifier Calibration under Context-Specific Definitions of Reliability

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May 23, 2022
John Kirchenbauer, Jacob Oaks, Eric Heim

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