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Christopher A. Choquette-Choo

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

28

Venues

9

Active years

2019–2025

Best venue rank

A*

Where they publish

Papers

28 indexed papers, newest first.

YearVenueTitleAuthors
2025ACLPrivacy 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
2025ALTNear-Optimal Rates for O(1)-Smooth DP-SCO with a Single Epoch and Large Batches.Christopher A. Choquette-Choo, Arun Ganesh, Abhradeep Guha Thakurta
2025ICLRNear-Exact Privacy Amplification for Matrix Mechanisms.Christopher A. Choquette-Choo, Arun Ganesh, Saminul Haque, Thomas Steinke, Abhradeep Guha Thakurta
2025ICLRThe Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD.Milad Nasr, Thomas Steinke, Borja Balle, Christopher A. Choquette-Choo, Arun Ganesh, Matthew Jagielski, Jamie Hayes, Abhradeep Guha Thakurta, Adam Smith, Andreas Terzis
2025ICLRScalable 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 Tramr, Katherine Lee
2025ICLRPrivacy Auditing of Large Language Models.Ashwinee Panda, Xinyu Tang, Christopher A. Choquette-Choo, Milad Nasr, Prateek Mittal
2025ICLRRecite, 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
2025ICMLExploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards.Yangsibo Huang, Milad Nasr, Anastasios Nikolas Angelopoulos, Nicholas Carlini, Wei-Lin Chiang, Christopher A. Choquette-Choo, Daphne Ippolito, Matthew Jagielski, Katherine Lee, Ken Liu, Ion Stoica, Florian Tramr, Chiyuan Zhang
2025ICMLLanguage Models May Verbatim Complete Text They Were Not Explicitly Trained On.Ken Liu, Christopher A. Choquette-Choo, Matthew Jagielski, Peter Kairouz, Sanmi Koyejo, Percy Liang, Nicolas Papernot
2025ICMLScaling Laws for Differentially Private Language Models.Ryan McKenna, Yangsibo Huang, Amer Sinha, Borja Balle, Zachary Charles, Christopher A. Choquette-Choo, Badih Ghazi, Georgios Kaissis, Ravi Kumar, Ruibo Liu, Da Yu, Chiyuan Zhang
2025ICMLEfficient and Privacy-Preserving Soft Prompt Transfer for LLMs.Xun Wang, Jing Xu, Franziska Boenisch, Michael Backes, Christopher A. Choquette-Choo, Adam Dziedzic
2025NAACLMeasuring 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
2024EMNLPUser Inference Attacks on Large Language Models.Nikhil Kandpal, Krishna Pillutla, Alina Oprea, Peter Kairouz, Christopher A. Choquette-Choo, Zheng Xu
2024ICLRCorrelated Noise Provably Beats Independent Noise for Differentially Private Learning.Christopher A. Choquette-Choo, Krishnamurthy Dj Dvijotham, Krishna Pillutla, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta
2024ICLRPrivacy Amplification for Matrix Mechanisms.Christopher A. Choquette-Choo, Arun Ganesh, Thomas Steinke, Abhradeep Guha Thakurta
2024ICLRTeach LLMs to Phish: Stealing Private Information from Language Models.Ashwinee Panda, Christopher A. Choquette-Choo, Zhengming Zhang, Yaoqing Yang, Prateek Mittal
2024ICMLAuditing Private Prediction.Karan Chadha, Matthew Jagielski, Nicolas Papernot, Christopher A. Choquette-Choo, Milad Nasr
2024SPPoisoning Web-Scale Training Datasets is Practical.Nicholas Carlini, Matthew Jagielski, Christopher A. Choquette-Choo, Daniel Paleka, Will Pearce, Hyrum S. Anderson, Andreas Terzis, Kurt Thomas, Florian Tramr
2023ACLFederated Learning of Gboard Language Models with Differential Privacy.Zheng Xu, Yanxiang Zhang, Galen Andrew, Christopher A. Choquette-Choo, Peter Kairouz, H. Brendan McMahan, Jesse Rosenstock, Yuanbo Zhang
2023ICMLMulti-Epoch Matrix Factorization Mechanisms for Private Machine Learning.Christopher A. Choquette-Choo, Hugh Brendan McMahan, J. Keith Rush, Abhradeep Guha Thakurta
2023ICMLPrivate Federated Learning with Autotuned Compression.Enayat Ullah, Christopher A. Choquette-Choo, Peter Kairouz, Sewoong Oh
2023INLGPreventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy.Daphne Ippolito, Florian Tramr, Milad Nasr, Chiyuan Zhang, Matthew Jagielski, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini
2022ICMLThe Fundamental Price of Secure Aggregation in Differentially Private Federated Learning.Wei-Ning Chen, Christopher A. Choquette-Choo, Peter Kairouz, Ananda Theertha Suresh
2021ICLRCaPC Learning: Confidential and Private Collaborative Learning.Christopher A. Choquette-Choo, Natalie Dullerud, Adam Dziedzic, Yunxiang Zhang, Somesh Jha, Nicolas Papernot, Xiao Wang
2021ICMLLabel-Only Membership Inference Attacks.Christopher A. Choquette-Choo, Florian Tramr, Nicholas Carlini, Nicolas Papernot
2021SPMachine Unlearning.Lucas Bourtoule, Varun Chandrasekaran, Christopher A. Choquette-Choo, Hengrui Jia, Adelin Travers, Baiwu Zhang, David Lie, Nicolas Papernot
2021SPProof-of-Learning: Definitions and Practice.Hengrui Jia, Mohammad Yaghini, Christopher A. Choquette-Choo, Natalie Dullerud, Anvith Thudi, Varun Chandrasekaran, Nicolas Papernot
2019ICMLAA Multi-label, Dual-Output Deep Neural Network for Automated Bug Triaging.Christopher A. Choquette-Choo, David Sheldon, Jonny Proppe, John Alphonso-Gibbs, Harsha Gupta