Deep Learning Application in Security and Privacy — Theory and Practice: A Position Paper
Authors: Julia A. Meister, Raja Naeem Akram, Konstantinos Markantonakis | Published: 2018-12-01
Literature Database
Discrete Adversarial Attacks and Submodular Optimization with Applications to Text Classification
Authors: Qi Lei, Lingfei Wu, Pin-Yu Chen, Alexandros G. Dimakis, Inderjit S. Dhillon, Michael Witbrock | Published: 2018-12-01 | Updated: 2019-04-04
Analyzing Federated Learning through an Adversarial Lens
Authors: Arjun Nitin Bhagoji, Supriyo Chakraborty, Prateek Mittal, Seraphin Calo | Published: 2018-11-29 | Updated: 2019-11-25
Joint Service Pricing and Cooperative Relay Communication for Federated Learning
Authors: Shaohan Feng, Dusit Niyato, Ping Wang, Dong In Kim, Ying-Chang Liang | Published: 2018-11-29
MOBIUS: Model-Oblivious Binarized Neural Networks
Authors: Hiromasa Kitai, Jason Paul Cruz, Naoto Yanai, Naohisa Nishida, Tatsumi Oba, Yuji Unagami, Tadanori Teruya, Nuttapong Attrapadung, Takahiro Matsuda, Goichiro Hanaoka | Published: 2018-11-29
An Adversarial Approach for Explainable AI in Intrusion Detection Systems
Authors: Daniel L. Marino, Chathurika S. Wickramasinghe, Milos Manic | Published: 2018-11-28
Adversarial Machine Learning And Speech Emotion Recognition: Utilizing Generative Adversarial Networks For Robustness
Authors: Siddique Latif, Rajib Rana, Junaid Qadir | Published: 2018-11-28 | Updated: 2018-12-30
Robust Classification of Financial Risk
Authors: Suproteem K. Sarkar, Kojin Oshiba, Daniel Giebisch, Yaron Singer | Published: 2018-11-27
A Frank-Wolfe Framework for Efficient and Effective Adversarial Attacks
Authors: Jinghui Chen, Dongruo Zhou, Jinfeng Yi, Quanquan Gu | Published: 2018-11-27 | Updated: 2019-09-15
Distributed and Secure ML with Self-tallying Multi-party Aggregation
Authors: Yunhui Long, Tanmay Gangwani, Haris Mughees, Carl Gunter | Published: 2018-11-26