Robust Neural Networks using Randomized Adversarial Training
Authors: Alexandre Araujo, Laurent Meunier, Rafael Pinot, Benjamin Negrevergne | Published: 2019-03-25 | Updated: 2020-02-13
Data Poisoning against Differentially-Private Learners: Attacks and Defenses
Authors: Yuzhe Ma, Xiaojin Zhu, Justin Hsu | Published: 2019-03-23 | Updated: 2019-07-05
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
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