PassFlow: Guessing Passwords with Generative Flows
Authors: Giulio Pagnotta, Dorjan Hitaj, Fabio De Gaspari, Luigi V. Mancini | Published: 2021-05-13 | Updated: 2021-12-14
Generative Model
Improving Query Efficiency of Black-box Adversarial Attack
Authors: Yang Bai, Yuyuan Zeng, Yong Jiang, Yisen Wang, Shu-Tao Xia, Weiwei Guo | Published: 2020-09-24 | Updated: 2020-09-25
Enhancing Mixup-based Semi-Supervised Learning with Explicit Lipschitz Regularization
Authors: Prashnna Kumar Gyawali, Sandesh Ghimire, Linwei Wang | Published: 2020-09-23
Semantics-Preserving Adversarial Training
Authors: Wonseok Lee, Hanbit Lee, Sang-goo Lee | Published: 2020-09-23
Can 3D Adversarial Logos Cloak Humans?
Authors: Yi Wang, Jingyang Zhou, Tianlong Chen, Sijia Liu, Shiyu Chang, Chandrajit Bajaj, Zhangyang Wang | Published: 2020-06-25 | Updated: 2020-11-27
Botnet Detection Using Recurrent Variational Autoencoder
Authors: Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu | Published: 2020-04-01
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
Federated Generative Privacy
Authors: Aleksei Triastcyn, Boi Faltings | Published: 2019-10-18
Mapper Based Classifier
Authors: Jacek Cyranka, Alexander Georges, David Meyer | Published: 2019-10-17 | Updated: 2019-10-21
Reverse KL-Divergence Training of Prior Networks: Improved Uncertainty and Adversarial Robustness
Authors: Andrey Malinin, Mark Gales | Published: 2019-05-31 | Updated: 2019-12-02