Fastened CROWN: Tightened Neural Network Robustness Certificates
Authors: Zhaoyang Lyu, Ching-Yun Ko, Zhifeng Kong, Ngai Wong, Dahua Lin, Luca Daniel | Published: 2019-12-02
A Method for Computing Class-wise Universal Adversarial Perturbations
Authors: Tejus Gupta, Abhishek Sinha, Nupur Kumari, Mayank Singh, Balaji Krishnamurthy | Published: 2019-12-01
Data Poisoning Attacks on Neighborhood-based Recommender Systems
Authors: Liang Chen, Yangjun Xu, Fenfang Xie, Min Huang, Zibin Zheng | Published: 2019-12-01
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality
Authors: Pulkit Sharma, Farah E Shamout, David A Clifton | Published: 2019-12-01
Design and Interpretation of Universal Adversarial Patches in Face Detection
Authors: Xiao Yang, Fangyun Wei, Hongyang Zhang, Jun Zhu | Published: 2019-11-30 | Updated: 2020-07-17
Error-Correcting Output Codes with Ensemble Diversity for Robust Learning in Neural Networks
Authors: Yang Song, Qiyu Kang, Wee Peng Tay | Published: 2019-11-30 | Updated: 2021-05-07
Federated Learning with Autotuned Communication-Efficient Secure Aggregation
Authors: Keith Bonawitz, Fariborz Salehi, Jakub Konečný, Brendan McMahan, Marco Gruteser | Published: 2019-11-30
Square Attack: a query-efficient black-box adversarial attack via random search
Authors: Maksym Andriushchenko, Francesco Croce, Nicolas Flammarion, Matthias Hein | Published: 2019-11-29 | Updated: 2020-07-29
Computer Systems Have 99 Problems, Let’s Not Make Machine Learning Another One
Authors: David Mohaisen, Songqing Chen | Published: 2019-11-28
Free-riders in Federated Learning: Attacks and Defenses
Authors: Jierui Lin, Min Du, Jian Liu | Published: 2019-11-28