Daphne Ippolito

According to our database¹, Daphne Ippolito authored at least 39 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of three.

Timeline

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PhD thesis

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On csauthors.net:

Bibliography

2024

Gemma: Open Models Based on Gemini Research and Technology.

[BibT_eX]

[DOI]

CoRR, 2024

2023

PaLM: Scaling Language Modeling with Pathways.

[BibT_eX]

[DOI]

Vinodkumar Prabhakaran

Thanumalayan Sankaranarayana Pillai

Kathy Meier-Hellstern

J. Mach. Learn. Res., 2023

Scalable Extraction of Training Data from (Production) Language Models.

[BibT_eX]

[DOI]

Christopher A. Choquette-Choo

Eric Wallace

Florian Tramèr

Katherine Lee

CoRR, 2023

Report of the 1st Workshop on Generative AI and Law.

[BibT_eX]

[DOI]

CoRR, 2023

Prompts Should not be Seen as Secrets: Systematically Measuring Prompt Extraction Attack Success.

[BibT_eX]

[DOI]

Yiming Zhang

Daphne Ippolito

CoRR, 2023

Are aligned neural networks adversarially aligned?

[BibT_eX]

[DOI]

Nicholas Carlini

Milad Nasr

Christopher A. Choquette-Choo

CoRR, 2023

A Pretrainer's Guide to Training Data: Measuring the Effects of Data Age, Domain Coverage, Quality, & Toxicity.

[BibT_eX]

[DOI]

CoRR, 2023

Extracting Training Data from Diffusion Models.

[BibT_eX]

[DOI]

Proceedings of the 32nd USENIX Security Symposium, 2023

Counterfactual Memorization in Neural Language Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Are aligned neural networks adversarially aligned?

[BibT_eX]

[DOI]

Nicholas Carlini

Milad Nasr

Christopher A. Choquette-Choo

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy.

[BibT_eX]

[DOI]

Christopher A. Choquette-Choo

Nicholas Carlini

Proceedings of the 16th International Natural Language Generation Conference, 2023

Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System.

[BibT_eX]

[DOI]

Proceedings of the 16th International Natural Language Generation Conference, 2023

Measuring Forgetting of Memorized Training Examples.

[BibT_eX]

[DOI]

Abhradeep Guha Thakurta

Nicolas Papernot

Chiyuan Zhang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Quantifying Memorization Across Neural Language Models.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Real or Fake Text?: Investigating Human Ability to Detect Boundaries between Human-Written and Machine-Generated Text.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers.

[BibT_eX]

[DOI]

CoRR, 2022

Preventing Verbatim Memorization in Language Models Gives a False Sense of Privacy.

[BibT_eX]

[DOI]

Christopher A. Choquette-Choo

Nicholas Carlini

CoRR, 2022

Creating Multimedia Summaries Using Tweets and Videos.

[BibT_eX]

[DOI]

CoRR, 2022

The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Wordcraft: Story Writing With Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the IUI 2022: 27th International Conference on Intelligent User Interfaces, Helsinki, Finland, March 22, 2022

Dungeons and Dragons as a Dialog Challenge for Artificial Intelligence.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

A Recipe for Arbitrary Text Style Transfer with Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Deduplicating Training Data Makes Language Models Better.

[BibT_eX]

[DOI]

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Inherent privacy limitations of decentralized contact tracing apps.

[BibT_eX]

[DOI]

Jean-Franois Rousseau

Abhinav Sharma

Yun William Yu

J. Am. Medical Informatics Assoc., 2021

SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets.

[BibT_eX]

[DOI]

CoRR, 2021

Wordcraft: a Human-AI Collaborative Editor for Story Writing.

[BibT_eX]

[DOI]

CoRR, 2021

SynthBio: A Case Study in Faster Curation of Text Datasets.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

2020

COVI White Paper.

[BibT_eX]

[DOI]

CoRR, 2020

Trading Off Diversity and Quality in Natural Language Generation.

[BibT_eX]

[DOI]

CoRR, 2020

Contact Tracing Mobile Apps for COVID-19: Privacy Considerations and Related Trade-offs.

[BibT_eX]

[DOI]

Hyunghoon Cho

Daphne Ippolito

Yun William Yu

CoRR, 2020

RoFT: A Tool for Evaluating Human Detection of Machine-Generated Text.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations, 2020

Toward Better Storylines with Sentence-Level Language Models.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Automatic Detection of Generated Text is Easiest when Humans are Fooled.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Human and Automatic Detection of Generated Text.

[BibT_eX]

[DOI]

CoRR, 2019

ChatEval: A Tool for Chatbot Evaluation.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Comparison of Diverse Decoding Methods from Conditional Language Models.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

Understanding image motion with group representations.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Learning Translations via Images with a Massively Multilingual Image Dataset.

[BibT_eX]

[DOI]

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2016

Unsupervised learning of image motion by recomposing sequences.

[BibT_eX]

[DOI]

CoRR, 2016

Daphne Ippolito

Timeline

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