Understanding Unintended Memorization in Federated Learning

Understanding Unintended Memorization in Federated Learning

12 June 2020

Swaroop Indra Ramaswamy

Franccoise Beaufays

Papers citing "Understanding Unintended Memorization in Federated Learning"

14 / 14 papers shown

Title
The Mosaic Memory of Large Language Models Igor Shilov Matthieu Meeus Yves-Alexandre de Montjoye 47 3 0 24 May 2024
FLTrojan: Privacy Leakage Attacks against Federated Language Models Through Selective Weight Tampering Md. Rafi Ur Rashid Vishnu Asutosh Dasu Kang Gu Najrin Sultana Shagufta Mehnaz AAML FedML 46 10 0 24 Oct 2023
A Note On Interpreting Canary Exposure Matthew Jagielski 20 4 0 31 May 2023
Quantifying Overfitting: Evaluating Neural Network Performance through Analysis of Null Space Hossein Rezaei Mohammad Sabokrou 18 3 0 30 May 2023
PreCog: Exploring the Relation between Memorization and Performance in Pre-trained Language Models Leonardo Ranaldi Elena Sofia Ruzzetti Fabio Massimo Zanzotto 33 6 0 08 May 2023
CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning Samuel Maddock Alexandre Sablayrolles Pierre Stock FedML 20 22 0 06 Oct 2022
Measuring Forgetting of Memorized Training Examples Matthew Jagielski Om Thakkar Florian Tramèr Daphne Ippolito Katherine Lee ... Eric Wallace Shuang Song Abhradeep Thakurta Nicolas Papernot Chiyuan Zhang TDI 75 102 0 30 Jun 2022
Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models Kushal Tirumala Aram H. Markosyan Luke Zettlemoyer Armen Aghajanyan TDI 29 187 0 22 May 2022
Recovering Private Text in Federated Learning of Language Models Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 40 75 0 17 May 2022
Towards Multi-Objective Statistically Fair Federated Learning Ninareh Mehrabi Cyprien de Lichy John McKay C. He William Campbell FedML 30 9 0 24 Jan 2022
Counterfactual Memorization in Neural Language Models Chiyuan Zhang Daphne Ippolito Katherine Lee Matthew Jagielski Florian Tramèr Nicholas Carlini 32 129 0 24 Dec 2021
Federated Learning Meets Natural Language Processing: A Survey Ming Liu Stella Ho Mengqi Wang Longxiang Gao Yuan Jin Heng Zhang FedML 30 67 0 27 Jul 2021
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates Steve Chien Prateek Jain Walid Krichene Steffen Rendle Shuang Song Abhradeep Thakurta Li Zhang 25 19 0 20 Jul 2021
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 91 278 0 02 Oct 2017