by Christopher Choquette-Choo Papers

8 papers found

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Conference

AAAI 2025 (3,028)COLM 2025 (418)CVPR 2025 (2,873)ICCV 2025 (2,701)ICLR 2025 (3,827)ICML 2025 (3,340)ISMAR 2025 (229)NEURIPS 2025 (5,858)AAAI 2024 (2,289)CVPR 2024 (2,716)ECCV 2024 (2,387)ICLR 2024 (2,297)ICML 2024 (2,635)

Paper Type

poster (24,624)paper (8,558)oral (1,594)spotlight (1,421)highlight (975)

Near-Exact Privacy Amplification for Matrix Mechanisms

Christopher Choquette-Choo, Arun Ganesh, Saminul Haque et al.

Privacy Auditing of Large Language Models

Ashwinee Panda, Xinyu Tang, Christopher Choquette-Choo et al.

ICLR 2025arXiv:2503.06808

Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon

USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien et al.

ICLR 2025arXiv:2406.17746

Scalable Extraction of Training Data from Aligned, Production Language Models

Milad Nasr, Javier Rando, Nicholas Carlini et al.

The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD

Milad Nasr, Thomas Steinke, Borja Balle et al.

ICLR 2025arXiv:2410.06186

Correlated Noise Provably Beats Independent Noise for Differentially Private Learning

Christopher Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla et al.

ICLR 2024arXiv:2310.06771

Privacy Amplification for Matrix Mechanisms

Christopher Choquette-Choo, Arun Ganesh, Thomas Steinke et al.

ICLR 2024spotlightarXiv:2310.15526

Teach LLMs to Phish: Stealing Private Information from Language Models

Ashwinee Panda, Christopher Choquette-Choo, Zhengming Zhang et al.

ICLR 2024arXiv:2403.00871