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Man-in-the-Middle Attacks against Machine Learning Classifiers via
  Malicious Generative Models

Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models

14 October 2019
Derui Wang
Wang
Chaoran Li
S. Wen
Surya Nepal
Yang Xiang
    AAML
ArXivPDFHTML

Papers citing "Man-in-the-Middle Attacks against Machine Learning Classifiers via Malicious Generative Models"

5 / 5 papers shown
Title
Constructing Adversarial Examples for Vertical Federated Learning:
  Optimal Client Corruption through Multi-Armed Bandit
Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
Duanyi Yao
Songze Li
Ye Xue
Jin Liu
FedML
AAML
32
1
0
08 Aug 2024
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape
Be Careful with Rotation: A Uniform Backdoor Pattern for 3D Shape
Linkun Fan
Fazhi He
Qingchen Guo
Wei Tang
Xiaolin Hong
Bing Li
AAML
3DPC
26
8
0
28 Nov 2022
A Human-in-the-Middle Attack against Object Detection Systems
A Human-in-the-Middle Attack against Object Detection Systems
Han-Ching Wu
Sareh Rowlands
Johan Wahlstrom
AAML
26
0
0
15 Aug 2022
Model-Reuse Attacks on Deep Learning Systems
Model-Reuse Attacks on Deep Learning Systems
Yujie Ji
Xinyang Zhang
S. Ji
Xiapu Luo
Ting Wang
SILM
AAML
134
186
0
02 Dec 2018
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,842
0
08 Jul 2016
1