Papers citing 'Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective'

Title
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 104 54 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 84 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 94 78 0 22 Nov 2019
Live Face De-Identification in Video Oran Gafni Lior Wolf Yaniv Taigman CVBM PICV 175 139 0 19 Nov 2019
Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance Subrat Kishore Dutta Zhuoran Liu Martha Larson AAML 171 156 0 06 Nov 2019
Obfuscation via Information Density Estimation Hsiang Hsu S. Asoodeh Flavio du Pin Calmon 78 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 73 43 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 178 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 73 3 0 27 May 2019
AnonymousNet: Natural Face De-Identification with Measurable Privacy Tao Li Lei Lin PICV 87 148 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 75 38 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 95 14 0 01 Jan 2019
Knockoff Nets: Stealing Functionality of Black-Box Models Tribhuvanesh Orekondy Bernt Schiele Mario Fritz MLAU 147 556 0 06 Dec 2018
Distribution Discrepancy Maximization for Image Privacy Preserving Sen Liu Jianxin Lin Zhibo Chen 46 1 0 18 Nov 2018
DeepCloak: Adversarial Crafting As a Defensive Measure to Cloak Processes Mehmet Sinan Inci T. Eisenbarth B. Sunar AAML 73 8 0 03 Aug 2018
Diverse Conditional Image Generation by Stochastic Regression with Latent Drop-Out Codes Yang He Bernt Schiele Mario Fritz SyDa 55 4 0 03 Aug 2018
Contrastive Video Representation Learning via Adversarial Perturbations Jue Wang A. Cherian 49 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 114 153 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 226 988 0 04 Jun 2018
Sequential Attacks on Agents for Long-Term Adversarial Goals E. Tretschk Seong Joon Oh Mario Fritz OnRL 462 49 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 495 38 0 15 May 2018
Siamese Generative Adversarial Privatizer for Biometric Data Witold Oleszkiewicz Peter Kairouz Karol J. Piczak Ram Rajagopal Tomasz Trzciñski AAML 55 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 101 128 0 13 Apr 2018
Improving DNN Robustness to Adversarial Attacks using Jacobian Regularization Daniel Jakubovitz Raja Giryes AAML 180 213 0 23 Mar 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey Naveed Akhtar Lin Wang AAML 256 1,907 0 02 Jan 2018
Connecting Pixels to Privacy and Utility: Automatic Redaction of Private Information in Images Tribhuvanesh Orekondy Mario Fritz Bernt Schiele PICV 97 83 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 59 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 460 207 0 24 Nov 2017
Towards Reverse-Engineering Black-Box Neural Networks Seong Joon Oh Maximilian Augustin Bernt Schiele Mario Fritz AAML 413 3 0 06 Nov 2017
ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection Sima Behpour Kris Kitani Brian Ziebart AAML 66 4 0 21 Oct 2017