Going Grayscale: The Road to Understanding and Improving Unlearnable Examples

25 November 2021

Papers citing "Going Grayscale: The Road to Understanding and Improving Unlearnable Examples"

20 / 20 papers shown

Title
Adversarial Examples Make Strong Poisons Liam H. Fowl Micah Goldblum Ping Yeh-Chiang Jonas Geiping Wojtek Czaja Tom Goldstein SILM 59 134 0 21 Jun 2021
Unlearnable Examples: Making Personal Data Unexploitable Hanxun Huang Xingjun Ma S. Erfani James Bailey Yisen Wang MIACV 193 192 0 13 Jan 2021
Large image datasets: A pyrrhic win for computer vision? Vinay Uday Prabhu Abeba Birhane 39 362 0 24 Jun 2020
Shortcut Learning in Deep Neural Networks Robert Geirhos J. Jacobsen Claudio Michaelis R. Zemel Wieland Brendel Matthias Bethge Felix Wichmann 120 2,023 0 16 Apr 2020
MetaPoison: Practical General-purpose Clean-label Data Poisoning Wenjie Huang Jonas Geiping Liam H. Fowl Gavin Taylor Tom Goldstein 88 188 0 01 Apr 2020
Functional Adversarial Attacks Cassidy Laidlaw Soheil Feizi AAML 42 184 0 29 May 2019
Truncated Back-propagation for Bilevel Optimization Amirreza Shaban Ching-An Cheng Nathan Hatch Byron Boots 66 265 0 25 Oct 2018
Bilevel Programming for Hyperparameter Optimization and Meta-Learning Luca Franceschi P. Frasconi Saverio Salzo Riccardo Grazzi Massimiliano Pontil 168 722 0 13 Jun 2018
Is feature selection secure against training data poisoning? Huang Xiao Battista Biggio Gavin Brown Giorgio Fumera Claudia Eckert Fabio Roli AAML SILM 33 423 0 21 Apr 2018
Targeted Backdoor Attacks on Deep Learning Systems Using Data Poisoning Xinyun Chen Chang-rui Liu Yue Liu Kimberly Lu D. Song AAML SILM 62 1,822 0 15 Dec 2017
mixup: Beyond Empirical Risk Minimization Hongyi Zhang Moustapha Cissé Yann N. Dauphin David Lopez-Paz NoLa 212 9,687 0 25 Oct 2017
Towards Deep Learning Models Resistant to Adversarial Attacks Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras Adrian Vladu SILM OOD 175 11,962 0 19 Jun 2017
Towards a Visual Privacy Advisor: Understanding and Predicting Privacy Risks in Images Rakshith Shetty Bernt Schiele Mario Fritz 72 226 0 30 Mar 2017
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective Seong Joon Oh Mario Fritz Bernt Schiele CVBM AAML 374 160 0 28 Mar 2017
Understanding Black-box Predictions via Influence Functions Pang Wei Koh Percy Liang TDI 98 2,854 0 14 Mar 2017
Towards Evaluating the Robustness of Neural Networks Nicholas Carlini D. Wagner OOD AAML 146 8,497 0 16 Aug 2016
Faceless Person Recognition; Privacy Implications in Social Media Seong Joon Oh Rodrigo Benenson Mario Fritz Bernt Schiele CVBM 336 154 0 28 Jul 2016
Explaining and Harnessing Adversarial Examples Ian Goodfellow Jonathon Shlens Christian Szegedy AAML GAN 120 18,922 0 20 Dec 2014
Deep Learning in Neural Networks: An Overview Jürgen Schmidhuber HAI 125 16,311 0 30 Apr 2014
Intriguing properties of neural networks Christian Szegedy Wojciech Zaremba Ilya Sutskever Joan Bruna D. Erhan Ian Goodfellow Rob Fergus AAML 94 14,831 1 21 Dec 2013