DAGER: Exact Gradient Inversion for Large Language Models

DAGER: Exact Gradient Inversion for Large Language Models

24 May 2024

Dimitar I. Dimitrov

Maximilian Baader

Mark Niklas Muller

Martin Vechev

Papers citing "DAGER: Exact Gradient Inversion for Large Language Models"

7 / 7 papers shown

Title
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models Jin Xie Ruishi He Songze Li Xiaojun Jia Shouling Ji SILM AAML 63 0 0 29 Apr 2025
GRAIN: Exact Graph Reconstruction from Gradients Maria Drencheva Ivo Petrov Maximilian Baader Dimitar I. Dimitrov Martin Vechev FedML 38 0 0 03 Mar 2025
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification Yuxin Wen Jonas Geiping Liam H. Fowl Micah Goldblum Tom Goldstein FedML 63 91 0 01 Feb 2022
Decepticons: Corrupted Transformers Breach Privacy in Federated Learning for Language Models Liam H. Fowl Jonas Geiping Steven Reich Yuxin Wen Wojtek Czaja Micah Goldblum Tom Goldstein FedML 68 55 0 29 Jan 2022
When the Curious Abandon Honesty: Federated Learning Is Not Private Franziska Boenisch Adam Dziedzic R. Schuster Ali Shahin Shamsabadi Ilia Shumailov Nicolas Papernot FedML AAML 64 143 0 06 Dec 2021
Neural Legal Judgment Prediction in English Ilias Chalkidis Ion Androutsopoulos Nikolaos Aletras AILaw ELM 98 279 0 05 Jun 2019
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 294 6,927 0 20 Apr 2018