by Christopher Choquette-Choo Papers
8 papers found
Near-Exact Privacy Amplification for Matrix Mechanisms
Christopher Choquette-Choo, Arun Ganesh, Saminul Haque et al.
ICLR 2025poster
Privacy Auditing of Large Language Models
Ashwinee Panda, Xinyu Tang, Christopher Choquette-Choo et al.
ICLR 2025poster
Recite, Reconstruct, Recollect: Memorization in LMs as a Multifaceted Phenomenon
USVSN Sai Prashanth, Alvin Deng, Kyle O'Brien et al.
ICLR 2025poster
22
citations
Scalable Extraction of Training Data from Aligned, Production Language Models
Milad Nasr, Javier Rando, Nicholas Carlini et al.
ICLR 2025poster
The Last Iterate Advantage: Empirical Auditing and Principled Heuristic Analysis of Differentially Private SGD
Milad Nasr, Thomas Steinke, Borja Balle et al.
ICLR 2025poster
Correlated Noise Provably Beats Independent Noise for Differentially Private Learning
Christopher Choquette-Choo, Krishnamurthy Dvijotham, Krishna Pillutla et al.
ICLR 2024poster
Privacy Amplification for Matrix Mechanisms
Christopher Choquette-Choo, Arun Ganesh, Thomas Steinke et al.
ICLR 2024spotlight
Teach LLMs to Phish: Stealing Private Information from Language Models
Ashwinee Panda, Christopher Choquette-Choo, Zhengming Zhang et al.
ICLR 2024poster