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Defending Adversarial Examples via DNN Bottleneck Reinforcement

Defending Adversarial Examples via DNN Bottleneck Reinforcement

12 August 2020
Wenqing Liu
Miaojing Shi
Teddy Furon
Li Li
    AAML
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Papers citing "Defending Adversarial Examples via DNN Bottleneck Reinforcement"

4 / 4 papers shown
Title
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
The Stable Signature: Rooting Watermarks in Latent Diffusion Models
Pierre Fernandez
Guillaume Couairon
Hervé Jégou
Matthijs Douze
Teddy Furon
WIGM
17
177
0
27 Mar 2023
Fast Gradient Non-sign Methods
Fast Gradient Non-sign Methods
Yaya Cheng
Jingkuan Song
Xiaosu Zhu
Qilong Zhang
Lianli Gao
Heng Tao Shen
AAML
24
11
0
25 Oct 2021
ComDefend: An Efficient Image Compression Model to Defend Adversarial
  Examples
ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
Xiaojun Jia
Xingxing Wei
Xiaochun Cao
H. Foroosh
AAML
64
264
0
30 Nov 2018
Adversarial Machine Learning at Scale
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
261
3,110
0
04 Nov 2016
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