Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions
Authors: Jon Vadillo, Roberto Santana, Jose A. Lozano | Published: 2020-04-14 | Updated: 2023-01-25
敵対的サンプル
Towards Robust Classification with Image Quality Assessment
Authors: Yeli Feng, Yiyu Cai | Published: 2020-04-14
Luring of transferable adversarial perturbations in the black-box paradigm
Authors: Rémi Bernhard, Pierre-Alain Moellic, Jean-Max Dutertre | Published: 2020-04-10 | Updated: 2021-03-03
MetaPoison: Practical General-purpose Clean-label Data Poisoning
Authors: W. Ronny Huang, Jonas Geiping, Liam Fowl, Gavin Taylor, Tom Goldstein | Published: 2020-04-01 | Updated: 2021-02-21
Adversarial Perturbations Fool Deepfake Detectors
Authors: Apurva Gandhi, Shomik Jain | Published: 2020-03-24 | Updated: 2020-05-15
One Neuron to Fool Them All
Authors: Anshuman Suri, David Evans | Published: 2020-03-20 | Updated: 2020-06-09
RAB: Provable Robustness Against Backdoor Attacks
Authors: Maurice Weber, Xiaojun Xu, Bojan Karlaš, Ce Zhang, Bo Li | Published: 2020-03-19 | Updated: 2023-08-03
Adversarial Transferability in Wearable Sensor Systems
Authors: Ramesh Kumar Sah, Hassan Ghasemzadeh | Published: 2020-03-17 | Updated: 2021-07-15
Manifold Regularization for Locally Stable Deep Neural Networks
Authors: Charles Jin, Martin Rinard | Published: 2020-03-09 | Updated: 2020-09-22
Gradient-based adversarial attacks on categorical sequence models via traversing an embedded world
Authors: Ivan Fursov, Alexey Zaytsev, Nikita Kluchnikov, Andrey Kravchenko, Evgeny Burnaev | Published: 2020-03-09 | Updated: 2020-10-12