Comment on “Biologically inspired protection of deep networks from adversarial attacks”
Authors: Wieland Brendel, Matthias Bethge | Published: 2017-04-05
EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning
Authors: Mohammed K. Alzaylaee, Suleiman Y. Yerima, Sakir Sezer | Published: 2017-03-31
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Authors: Jun-Yan Zhu, Taesung Park, Phillip Isola, Alexei A. Efros | Published: 2017-03-30 | Updated: 2020-08-24
Understanding IoT Security Through the Data Crystal Ball: Where We Are Now and Where We Are Going to Be
Authors: Nan Zhang, Soteris Demetriou, Xianghang Mi, Wenrui Diao, Kan Yuan, Peiyuan Zong, Feng Qian, XiaoFeng Wang, Kai Chen, Yuan Tian, Carl A. Gunter, Kehuan Zhang, Patrick Tague, Yue-Hsun Lin | Published: 2017-03-28
Adversarial Source Identification Game with Corrupted Training
Authors: Mauro Barni, Benedetta Tondi | Published: 2017-03-27
Biologically inspired protection of deep networks from adversarial attacks
Authors: Aran Nayebi, Surya Ganguli | Published: 2017-03-27
Data Driven Exploratory Attacks on Black Box Classifiers in Adversarial Domains
Authors: Tegjyot Singh Sethi, Mehmed Kantardzic | Published: 2017-03-23
PriMaL: A Privacy-Preserving Machine Learning Method for Event Detection in Distributed Sensor Networks
Authors: Stefano Bennati, Catholijn M. Jonker | Published: 2017-03-21
CSI: A Hybrid Deep Model for Fake News Detection
Authors: Natali Ruchansky, Sungyong Seo, Yan Liu | Published: 2017-03-20 | Updated: 2017-09-03
Counterfactual Fairness
Authors: Matt J. Kusner, Joshua R. Loftus, Chris Russell, Ricardo Silva | Published: 2017-03-20 | Updated: 2018-03-08