Adversarial Attacks on Classifiers for Eye-based User Modelling

Adversarial Attacks on Classifiers for Eye-based User Modelling

1 June 2020

Inken Hagestedt

Michael Backes

Andreas Bulling

ArXiv (abs)PDF HTML

Papers citing "Adversarial Attacks on Classifiers for Eye-based User Modelling"

17 / 17 papers shown

Title
Differential Privacy for Eye-Tracking Data Ao Liu Lirong Xia A. Duchowski Reynold J. Bailey K. Holmqvist Eakta Jain 57 71 0 15 Apr 2019
HopSkipJumpAttack: A Query-Efficient Decision-Based Attack Jianbo Chen Michael I. Jordan Martin J. Wainwright AAML 71 670 0 03 Apr 2019
Privacy-Aware Eye Tracking Using Differential Privacy Julian Steil Inken Hagestedt Michael Xuelin Huang Andreas Bulling 47 110 0 19 Dec 2018
Adversarial Robustness Toolbox v1.0.0 Maria-Irina Nicolae M. Sinn Minh-Ngoc Tran Beat Buesser Ambrish Rawat ... Nathalie Baracaldo Bryant Chen Heiko Ludwig Ian Molloy Ben Edwards AAML VLM 77 460 0 03 Jul 2018
PrivacEye: Privacy-Preserving Head-Mounted Eye Tracking Using Egocentric Scene Image and Eye Movement Features Julian Steil Marion Koelle Wilko Heuten Susanne CJ Boll Andreas Bulling EgoV PICV 45 80 0 13 Jan 2018
MPIIGaze: Real-World Dataset and Deep Appearance-Based Gaze Estimation Xucong Zhang Yusuke Sugano Mario Fritz Andreas Bulling CVBM 60 452 0 24 Nov 2017
ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models Pin-Yu Chen Huan Zhang Yash Sharma Jinfeng Yi Cho-Jui Hsieh AAML 85 1,885 0 14 Aug 2017
Visual Decoding of Targets During Visual Search From Human Eye Fixations Hosnieh Sattar Mario Fritz Andreas Bulling 19 6 0 19 Jun 2017
Gaze Embeddings for Zero-Shot Image Classification Nour Karessli Zeynep Akata Bernt Schiele Andreas Bulling 78 109 0 28 Nov 2016
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 282 8,583 0 16 Aug 2016
Transferability in Machine Learning: from Phenomena to Black-Box Attacks using Adversarial Samples Nicolas Papernot Patrick McDaniel Ian Goodfellow SILM AAML 116 1,741 0 24 May 2016
The Limitations of Deep Learning in Adversarial Settings Nicolas Papernot Patrick McDaniel S. Jha Matt Fredrikson Z. Berkay Celik A. Swami AAML 115 3,967 0 24 Nov 2015
Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks Nicolas Papernot Patrick McDaniel Xi Wu S. Jha A. Swami AAML 113 3,076 0 14 Nov 2015
Prediction of Search Targets From Fixations in Open-World Settings Hosnieh Sattar Sabine Müller Mario Fritz Andreas Bulling 50 67 0 18 Feb 2015
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 282 19,121 0 20 Dec 2014
Pupil: An Open Source Platform for Pervasive Eye Tracking and Mobile Gaze-based Interaction Moritz Kassner William Patera Andreas Bulling 71 809 0 30 Apr 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 282 14,963 1 21 Dec 2013

We use cookies and other tracking technologies to improve your browsing experience on our website, to show you personalized content and targeted ads, to analyze our website traffic, and to understand where our visitors are coming from. See our policy.