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1703.09471
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Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective
28 March 2017
Seong Joon Oh
Mario Fritz
Bernt Schiele
CVBM
AAML
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Papers citing
"Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective"
31 / 81 papers shown
Title
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation
Yang He
Shadi Rahimian
Bernt Schiele
Mario Fritz
MIACV
21
49
0
20 Dec 2019
Deep Poisoning: Towards Robust Image Data Sharing against Visual Disclosure
Haojie Guo
Brian Dolhansky
Eric Hsin
Phong Dinh
Cristian Canton Ferrer
Song Wang
FedML
31
2
0
14 Dec 2019
Adversarial Learning of Privacy-Preserving and Task-Oriented Representations
Taihong Xiao
Yi-Hsuan Tsai
Kihyuk Sohn
Manmohan Chandraker
Ming-Hsuan Yang
31
75
0
22 Nov 2019
Live Face De-Identification in Video
Oran Gafni
Lior Wolf
Yaniv Taigman
CVBM
PICV
35
134
0
19 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
Zhengyu Zhao
Zhuoran Liu
Martha Larson
AAML
18
142
0
06 Nov 2019
Obfuscation via Information Density Estimation
Hsiang Hsu
S. Asoodeh
Flavio du Pin Calmon
23
12
0
17 Oct 2019
DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones
Ang Li
Jiayi Guo
Huanrui Yang
Flora D. Salim
Yiran Chen
AAML
19
36
0
09 Sep 2019
Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset
Zhenyu Wu
Haotao Wang
Zhaowen Wang
Hailin Jin
Zhangyang Wang
AAML
PICV
35
15
0
12 Jun 2019
Body Shape Privacy in Images: Understanding Privacy and Preventing Automatic Shape Extraction
Hosnieh Sattar
Katharina Krombholz
Gerard Pons-Moll
Mario Fritz
3DH
27
3
0
27 May 2019
AnonymousNet: Natural Face De-Identification with Measurable Privacy
Tao Li
Lei Lin
PICV
26
144
0
19 Apr 2019
Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints
Xing Hu
Ling Liang
Lei Deng
Shuangchen Li
Xinfeng Xie
Yu Ji
Yufei Ding
Chang Liu
T. Sherwood
Yuan Xie
AAML
MLAU
23
36
0
10 Mar 2019
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models
Tae-Hoon Kim
Dongmin Kang
K. Pulli
Jonghyun Choi
19
14
0
01 Jan 2019
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy
Bernt Schiele
Mario Fritz
MLAU
24
526
0
06 Dec 2018
Distribution Discrepancy Maximization for Image Privacy Preserving
Sen Liu
Jianxin Lin
Zhibo Chen
22
1
0
18 Nov 2018
DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes
Mehmet Sinan Inci
T. Eisenbarth
B. Sunar
AAML
18
8
0
03 Aug 2018
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes
Yang He
Bernt Schiele
Mario Fritz
SyDa
13
4
0
03 Aug 2018
Contrastive Video Representation Learning via Adversarial Perturbations
Jue Wang
A. Cherian
19
1
0
24 Jul 2018
Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study
Zhenyu Wu
Zhangyang Wang
Zhaowen Wang
Hailin Jin
AAML
PICV
28
153
0
22 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models
A. Salem
Yang Zhang
Mathias Humbert
Pascal Berrang
Mario Fritz
Michael Backes
MIACV
MIALM
36
928
0
04 Jun 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals
E. Tretschk
Seong Joon Oh
Mario Fritz
OnRL
329
47
1
31 May 2018
Gradient-Leaks: Understanding and Controlling Deanonymization in Federated Learning
Tribhuvanesh Orekondy
Seong Joon Oh
Yang Zhang
Bernt Schiele
Mario Fritz
PICV
FedML
359
37
0
15 May 2018
Siamese Generative Adversarial Privatizer for Biometric Data
Witold Oleszkiewicz
Peter Kairouz
Karol J. Piczak
Ram Rajagopal
Tomasz Trzciñski
AAML
15
16
0
23 Apr 2018
A Hybrid Model for Identity Obfuscation by Face Replacement
Qianru Sun
A. Tewari
Weipeng Xu
Mario Fritz
Christian Theobalt
Bernt Schiele
CVBM
PICV
26
126
0
13 Apr 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization
Daniel Jakubovitz
Raja Giryes
AAML
19
209
0
23 Mar 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
22
1,855
0
02 Jan 2018
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images
Tribhuvanesh Orekondy
Mario Fritz
Bernt Schiele
PICV
24
80
0
04 Dec 2017
Butterfly Effect: Bidirectional Control of Classification Performance by Small Additive Perturbation
Y. Yoo
Seonguk Park
Junyoung Choi
Sangdoo Yun
Nojun Kwak
AAML
22
4
0
27 Nov 2017
Natural and Effective Obfuscation by Head Inpainting
Qianru Sun
Liqian Ma
Seong Joon Oh
Luc Van Gool
Bernt Schiele
Mario Fritz
PICV
290
204
0
24 Nov 2017
Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh
Maximilian Augustin
Bernt Schiele
Mario Fritz
AAML
286
3
0
06 Nov 2017
ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection
Sima Behpour
Kris Kitani
Brian D. Ziebart
AAML
30
4
0
21 Oct 2017
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
308
5,847
0
08 Jul 2016
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