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Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal
  Attack for DNN Models
v1v2 (latest)

Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models

18 September 2020
Shangwei Guo
Tianwei Zhang
Han Qiu
Yi Zeng
Tao Xiang
Yang Liu
    AAML
ArXiv (abs)PDFHTML

Papers citing "Fine-tuning Is Not Enough: A Simple yet Effective Watermark Removal Attack for DNN Models"

16 / 16 papers shown
Title
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Removing Backdoor-Based Watermarks in Neural Networks with Limited Data
Xuankai Liu
Fengting Li
Bihan Wen
Qi Li
AAML
63
61
0
02 Aug 2020
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from
  Deep Neural Networks
Neural Network Laundering: Removing Black-Box Backdoor Watermarks from Deep Neural Networks
William Aiken
Hyoungshick Kim
Simon S. Woo
38
64
0
22 Apr 2020
Model Watermarking for Image Processing Networks
Model Watermarking for Image Processing Networks
Jie Zhang
Dongdong Chen
Jing Liao
Han Fang
Weiming Zhang
Wenbo Zhou
Hao Cui
Nenghai Yu
WIGMAAML
78
132
0
25 Feb 2020
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems
  With Limited Data
REFIT: A Unified Watermark Removal Framework For Deep Learning Systems With Limited Data
Xinyun Chen
Wenxiao Wang
Chris Bender
Yiming Ding
R. Jia
Yue Liu
Basel Alomair
AAML
74
108
0
17 Nov 2019
[Extended version] Rethinking Deep Neural Network Ownership
  Verification: Embedding Passports to Defeat Ambiguity Attacks
[Extended version] Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks
Lixin Fan
Kam Woh Ng
Chee Seng Chan
AAML
50
192
0
16 Sep 2019
Bypassing Backdoor Detection Algorithms in Deep Learning
Bypassing Backdoor Detection Algorithms in Deep Learning
T. Tan
Reza Shokri
FedMLAAML
87
152
0
31 May 2019
Benchmarking Neural Network Robustness to Common Corruptions and
  Perturbations
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Dan Hendrycks
Thomas G. Dietterich
OODVLM
191
3,445
0
28 Mar 2019
How to Prove Your Model Belongs to You: A Blind-Watermark based
  Framework to Protect Intellectual Property of DNN
How to Prove Your Model Belongs to You: A Blind-Watermark based Framework to Protect Intellectual Property of DNN
Zheng Li
Chengyu Hu
Yang Zhang
Shanqing Guo
AAML
55
173
0
05 Mar 2019
Robust Watermarking of Neural Network with Exponential Weighting
Robust Watermarking of Neural Network with Exponential Weighting
Ryota Namba
Jun Sakuma
AAML
66
138
0
18 Jan 2019
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial
  Examples
Feature Distillation: DNN-Oriented JPEG Compression Against Adversarial Examples
Zihao Liu
Qi Liu
Tao Liu
Nuo Xu
Xue Lin
Yanzhi Wang
Wujie Wen
AAMLMQ
59
262
0
14 Mar 2018
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks
  by Backdooring
Turning Your Weakness Into a Strength: Watermarking Deep Neural Networks by Backdooring
Yossi Adi
Carsten Baum
Moustapha Cissé
Benny Pinkas
Joseph Keshet
63
682
0
13 Feb 2018
Deflecting Adversarial Attacks with Pixel Deflection
Deflecting Adversarial Attacks with Pixel Deflection
Aaditya (Adi) Prakash
N. Moran
Solomon Garber
Antonella DiLillo
J. Storer
AAML
61
303
0
26 Jan 2018
Adversarial Frontier Stitching for Remote Neural Network Watermarking
Adversarial Frontier Stitching for Remote Neural Network Watermarking
Erwan Le Merrer
P. Pérez
Gilles Trédan
MLAUAAML
76
339
0
06 Nov 2017
Feature Squeezing: Detecting Adversarial Examples in Deep Neural
  Networks
Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks
Weilin Xu
David Evans
Yanjun Qi
AAML
87
1,271
0
04 Apr 2017
Embedding Watermarks into Deep Neural Networks
Embedding Watermarks into Deep Neural Networks
Yusuke Uchida
Yuki Nagai
S. Sakazawa
Shiníchi Satoh
122
610
0
15 Jan 2017
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,322
0
10 Dec 2015
1