Defending against adversarial attacks by randomized diversification
Authors: Olga Taran, Shideh Rezaeifar, Taras Holotyak, Slava Voloshynovskiy | Published: 2019-04-01
Deep Learning in steganography and steganalysis from 2015 to 2018
Authors: Marc Chaumont | Published: 2019-03-31 | Updated: 2019-10-16
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Authors: Xiao Zhang, Dongrui Wu | Published: 2019-03-31
A Machine Learning Framework for Biometric Authentication using Electrocardiogram
Authors: Song-Kyoo Kim, Chan Yeob Yeun, Ernesto Damiani, Nai-Wei Lo | Published: 2019-03-29 | Updated: 2019-08-05
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
Authors: Dan Hendrycks, Thomas Dietterich | Published: 2019-03-28
Using Blockchain to Rein in The New Post-Truth World and Check The Spread of Fake News
Authors: Adnan Qayyum, Junaid Qadir, Muhammad Umar Janjua, Falak Sher | Published: 2019-03-28
Rallying Adversarial Techniques against Deep Learning for Network Security
Authors: Joseph Clements, Yuzhe Yang, Ankur Sharma, Hongxin Hu, Yingjie Lao | Published: 2019-03-27 | Updated: 2021-10-25
Bridging Adversarial Robustness and Gradient Interpretability
Authors: Beomsu Kim, Junghoon Seo, Taegyun Jeon | Published: 2019-03-27 | Updated: 2019-04-19
Scaling up the randomized gradient-free adversarial attack reveals overestimation of robustness using established attacks
Authors: Francesco Croce, Jonas Rauber, Matthias Hein | Published: 2019-03-27 | Updated: 2019-09-25
A geometry-inspired decision-based attack
Authors: Yujia Liu, Seyed-Mohsen Moosavi-Dezfooli, Pascal Frossard | Published: 2019-03-26