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SEEK: model extraction attack against hybrid secure inference protocols

SEEK: model extraction attack against hybrid secure inference protocols

14 September 2022
Si-Quan Chen
Junfeng Fan
    MIACV
ArXivPDFHTML

Papers citing "SEEK: model extraction attack against hybrid secure inference protocols"

13 / 13 papers shown
Title
SIMC 2.0: Improved Secure ML Inference Against Malicious Clients
SIMC 2.0: Improved Secure ML Inference Against Malicious Clients
Guowen Xu
Xingshuo Han
Tianwei Zhang
Shengmin Xu
Jianting Ning
Xinyi Huang
Hongwei Li
R. Deng
38
11
0
11 Jul 2022
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption
  for Deep Neural Network
Privacy-Preserving Machine Learning with Fully Homomorphic Encryption for Deep Neural Network
Joon-Woo Lee
Hyungchul Kang
Yongwoo Lee
W. Choi
Jieun Eom
...
Eunsang Lee
Junghyun Lee
Donghoon Yoo
Young-Sik Kim
Jong-Seon No
77
250
0
14 Jun 2021
CrypTFlow2: Practical 2-Party Secure Inference
CrypTFlow2: Practical 2-Party Secure Inference
Deevashwer Rathee
Mayank Rathee
Nishant Kumar
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
120
314
0
13 Oct 2020
Cryptanalytic Extraction of Neural Network Models
Cryptanalytic Extraction of Neural Network Models
Nicholas Carlini
Matthew Jagielski
Ilya Mironov
FedML
MLAU
MIACV
AAML
130
135
0
10 Mar 2020
CrypTFlow: Secure TensorFlow Inference
CrypTFlow: Secure TensorFlow Inference
Nishant Kumar
Mayank Rathee
Nishanth Chandran
Divya Gupta
Aseem Rastogi
Rahul Sharma
141
243
0
16 Sep 2019
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on
  Encrypted Data
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data
Fabian Boemer
Anamaria Costache
Rosario Cammarota
Casimir Wierzynski
GNN
100
172
0
12 Aug 2019
XONN: XNOR-based Oblivious Deep Neural Network Inference
XONN: XNOR-based Oblivious Deep Neural Network Inference
M. Riazi
Mohammad Samragh
Hao Chen
Kim Laine
Kristin E. Lauter
F. Koushanfar
FedML
GNN
BDL
56
283
0
19 Feb 2019
Low Latency Privacy Preserving Inference
Low Latency Privacy Preserving Inference
Alon Brutzkus
Oren Elisha
Ran Gilad-Bachrach
FedML
129
232
0
27 Dec 2018
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Gazelle: A Low Latency Framework for Secure Neural Network Inference
Chiraag Juvekar
Vinod Vaikuntanathan
A. Chandrakasan
60
893
0
16 Jan 2018
DeepSecure: Scalable Provably-Secure Deep Learning
DeepSecure: Scalable Provably-Secure Deep Learning
B. Rouhani
M. Riazi
F. Koushanfar
FedML
52
415
0
24 May 2017
Membership Inference Attacks against Machine Learning Models
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
255
4,135
0
18 Oct 2016
Stealing Machine Learning Models via Prediction APIs
Stealing Machine Learning Models via Prediction APIs
Florian Tramèr
Fan Zhang
Ari Juels
Michael K. Reiter
Thomas Ristenpart
SILM
MLAU
107
1,807
0
09 Sep 2016
Practical Black-Box Attacks against Machine Learning
Practical Black-Box Attacks against Machine Learning
Nicolas Papernot
Patrick McDaniel
Ian Goodfellow
S. Jha
Z. Berkay Celik
A. Swami
MLAU
AAML
75
3,678
0
08 Feb 2016
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