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
Literature Database
A Unified Analytical Framework for Trustable Machine Learning and Automation Running with Blockchain
Authors: Tao Wang | Published: 2019-03-21
Contextual Bandits with Random Projection
Authors: Xiaotian Yu | Published: 2019-03-20
On the Robustness of Deep K-Nearest Neighbors
Authors: Chawin Sitawarin, David Wagner | Published: 2019-03-20
An Evaluation of Bitcoin Address Classification based on Transaction History Summarization
Authors: Yu-Jing Lin, Po-Wei Wu, Cheng-Han Hsu, I-Ping Tu, Shih-wei Liao | Published: 2019-03-19
Practical Hidden Voice Attacks against Speech and Speaker Recognition Systems
Authors: Hadi Abdullah, Washington Garcia, Christian Peeters, Patrick Traynor, Kevin R. B. Butler, Joseph Wilson | Published: 2019-03-18
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
SLSGD: Secure and Efficient Distributed On-device Machine Learning
Authors: Cong Xie, Sanmi Koyejo, Indranil Gupta | Published: 2019-03-16 | Updated: 2019-10-01