DeepSteal: Advanced Model Extractions Leveraging Efficient Weight
Stealing in Memories

DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories

8 November 2021

Adnan Siraj Rakin

Md Hafizul Islam Chowdhuryy

Papers citing "DeepSteal: Advanced Model Extractions Leveraging Efficient Weight Stealing in Memories"

6 / 56 papers shown

Title
Post-breach Recovery: Protection against White-box Adversarial Examples for Leaked DNN Models Shawn Shan Wen-Luan Ding Emily Wenger Haitao Zheng Ben Y. Zhao AAML 31 10 0 21 May 2022
SoK: Rowhammer on Commodity Operating Systems Zhi-Li Zhang Decheng Chen Jiahao Qi Yueqiang Cheng Shijie Jiang ... Yansong Gao Surya Nepal Yi Zou Jiliang Zhang Yang Xiang 13 3 0 09 Jan 2022
BDFA: A Blind Data Adversarial Bit-flip Attack on Deep Neural Networks B. Ghavami Mani Sadati M. Shahidzadeh Zhenman Fang Lesley Shannon AAML 9 1 0 07 Dec 2021
FBGEMM: Enabling High-Performance Low-Precision Deep Learning Inference D. Khudia Jianyu Huang Protonu Basu Summer Deng Haixin Liu Jongsoo Park M. Smelyanskiy FedML MQ 49 46 0 13 Jan 2021
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 70 134 0 10 Mar 2020
Aggregated Residual Transformations for Deep Neural Networks Saining Xie Ross B. Girshick Piotr Dollár Z. Tu Kaiming He 297 10,216 0 16 Nov 2016