Adversarial Reprogramming Revisited

7 June 2022

Papers citing "Adversarial Reprogramming Revisited"

9 / 9 papers shown

Title
Model Hijacking Attack in Federated Learning Zheng Li Siyuan Wu Ruichuan Chen Paarijaat Aditya Istemi Ekin Akkus Manohar Vanga Min Zhang Hao Li Yang Zhang FedML AAML 32 0 0 04 Aug 2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks Jy-yong Sohn Dohyun Kwon Seoyeon An Kangwook Lee 40 0 0 01 Aug 2024
Simplicity Bias of Two-Layer Networks beyond Linearly Separable Data Nikita Tsoy Nikola Konstantinov 37 4 0 27 May 2024
The Expressive Power of Low-Rank Adaptation Yuchen Zeng Kangwook Lee 33 49 0 26 Oct 2023
Learning a Neuron by a Shallow ReLU Network: Dynamics and Implicit Bias for Correlated Inputs D. Chistikov Matthias Englert R. Lazic MLT 36 12 0 10 Jun 2023
Deep Graph Reprogramming Yongcheng Jing Chongbin Yuan Li Ju Yiding Yang Xinchao Wang Dacheng Tao 79 35 0 28 Apr 2023
Neural Model Reprogramming with Similarity Based Mapping for Low-Resource Spoken Command Recognition Hao Yen Pin-Jui Ku Chao-Han Huck Yang Hu Hu Sabato Marco Siniscalchi Pin-Yu Chen Yu Tsao 40 4 0 08 Oct 2021
WARP: Word-level Adversarial ReProgramming Karen Hambardzumyan Hrant Khachatrian Jonathan May AAML 254 342 0 01 Jan 2021
ImageNet Large Scale Visual Recognition Challenge Olga Russakovsky Jia Deng Hao Su J. Krause S. Satheesh ... A. Karpathy A. Khosla Michael S. Bernstein Alexander C. Berg Li Fei-Fei VLM ObjD 296 39,198 0 01 Sep 2014