De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks
Authors: Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu | Published: 2021-05-08
Challenges of Generative Models
Evaluating Robustness of Predictive Uncertainty Estimation: Are Dirichlet-based Models Reliable?
Authors: Anna-Kathrin Kopetzki, Bertrand Charpentier, Daniel Zügner, Sandhya Giri, Stephan Günnemann | Published: 2020-10-28 | Updated: 2021-06-11
Black-box Adversarial Example Generation with Normalizing Flows
Authors: Hadi M. Dolatabadi, Sarah Erfani, Christopher Leckie | Published: 2020-07-06
Low Distortion Block-Resampling with Spatially Stochastic Networks
Authors: Sarah Jane Hong, Martin Arjovsky, Darryl Barnhart, Ian Thompson | Published: 2020-06-09 | Updated: 2020-12-10
Distributional Robustness with IPMs and links to Regularization and GANs
Authors: Hisham Husain | Published: 2020-06-08
Domain Knowledge Alleviates Adversarial Attacks in Multi-Label Classifiers
Authors: Stefano Melacci, Gabriele Ciravegna, Angelo Sotgiu, Ambra Demontis, Battista Biggio, Marco Gori, Fabio Roli | Published: 2020-06-06 | Updated: 2021-12-29
Differentially Private Data Generative Models
Authors: Qingrong Chen, Chong Xiang, Minhui Xue, Bo Li, Nikita Borisov, Dali Kaarfar, Haojin Zhu | Published: 2018-12-06
PassGAN: A Deep Learning Approach for Password Guessing
Authors: Briland Hitaj, Paolo Gasti, Giuseppe Ateniese, Fernando Perez-Cruz | Published: 2017-09-01 | Updated: 2019-02-14