Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Authors: Yuzhe Ma, Xiaojin Zhu, Justin Hsu | Published: 2019-03-23 | Updated: 2019-07-05
敵対的攻撃検出
Improving Adversarial Robustness via Guided Complement Entropy
Authors: Hao-Yun Chen, Jhao-Hong Liang, Shih-Chieh Chang, Jia-Yu Pan, Yu-Ting Chen, Wei Wei, Da-Cheng Juan | Published: 2019-03-23 | Updated: 2019-08-07
On the Robustness of Deep K-Nearest Neighbors
Authors: Chawin Sitawarin, David Wagner | Published: 2019-03-20
Clonability of anti-counterfeiting printable graphical codes: a machine learning approach
Authors: Olga Taran, Slavi Bonev, Slava Voloshynovskiy | Published: 2019-03-18
Generating Adversarial Examples With Conditional Generative Adversarial Net
Authors: Ping Yu, Kaitao Song, Jianfeng Lu | Published: 2019-03-18
Adversarial Attacks on Deep Neural Networks for Time Series Classification
Authors: Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, Pierre-Alain Muller | Published: 2019-03-17 | Updated: 2019-04-26
Defending Against Adversarial Attacks by Leveraging an Entire GAN
Authors: Gokula Krishnan Santhanam, Paulina Grnarova | Published: 2018-05-27
Unsupervised Learning for Trustworthy IoT
Authors: Nikhil Banerjee, Thanassis Giannetsos, Emmanouil Panaousis, Clive Cheong Took | Published: 2018-05-25
Towards Robust Training of Neural Networks by Regularizing Adversarial Gradients
Authors: Fuxun Yu, Zirui Xu, Yanzhi Wang, Chenchen Liu, Xiang Chen | Published: 2018-05-23 | Updated: 2018-06-07
Adversarially Robust Training through Structured Gradient Regularization
Authors: Kevin Roth, Aurelien Lucchi, Sebastian Nowozin, Thomas Hofmann | Published: 2018-05-22