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Markpainting: Adversarial Machine Learning meets Inpainting

Markpainting: Adversarial Machine Learning meets Inpainting

1 June 2021
David Khachaturov
Ilia Shumailov
Yiren Zhao
Nicolas Papernot
Ross J. Anderson
    WIGM
ArXivPDFHTML

Papers citing "Markpainting: Adversarial Machine Learning meets Inpainting"

5 / 5 papers shown
Title
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity
  Deep Hiding
Erase and Repair: An Efficient Box-Free Removal Attack on High-Capacity Deep Hiding
Hangcheng Liu
Tao Xiang
Shangwei Guo
Han Li
Tianwei Zhang
Xiaofeng Liao
24
5
0
03 Aug 2023
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal
Xinwei Liu
Jian Liu
Yang Bai
Jindong Gu
Tao Chen
Xiaojun Jia
Xiaochun Cao
AAML
WIGM
33
26
0
17 Jul 2022
Leveraging Adversarial Examples to Quantify Membership Information
  Leakage
Leveraging Adversarial Examples to Quantify Membership Information Leakage
Ganesh Del Grosso
Hamid Jalalzai
Georg Pichler
C. Palamidessi
Pablo Piantanida
MIACV
39
21
0
17 Mar 2022
Hiding Images into Images with Real-world Robustness
Hiding Images into Images with Real-world Robustness
Qichao Ying
Hang Zhou
Xianhan Zeng
Haisheng Xu
Zhenxing Qian
Xinpeng Zhang
WIGM
28
14
0
12 Oct 2021
NoiLIn: Improving Adversarial Training and Correcting Stereotype of
  Noisy Labels
NoiLIn: Improving Adversarial Training and Correcting Stereotype of Noisy Labels
Jingfeng Zhang
Xilie Xu
Bo Han
Tongliang Liu
Gang Niu
Li-zhen Cui
Masashi Sugiyama
NoLa
AAML
23
9
0
31 May 2021
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