The Dangers of Computational Law and Cybersecurity; Perspectives from Engineering and the AI Act
Authors: Kaspar Rosager Ludvigsen, Shishir Nagaraja, Angela Daly | Published: 2022-07-01
Risk Management
Threat Assessment in Machine Learning based Systems
Authors: Lionel Nganyewou Tidjon, Foutse Khomh | Published: 2022-06-30
Differentially Empirical Risk Minimization under the Fairness Lens
Authors: Cuong Tran, My H. Dinh, Ferdinando Fioretto | Published: 2021-06-04 | Updated: 2022-09-08
GRAVITAS: Graphical Reticulated Attack Vectors for Internet-of-Things Aggregate Security
Authors: Jacob Brown, Tanujay Saha, Niraj K. Jha | Published: 2021-05-31
Darknet Data Mining — A Canadian Cyber-crime Perspective
Authors: Edward Crowder, Jay Lansiquot | Published: 2021-05-18
On Data Augmentation and Adversarial Risk: An Empirical Analysis
Authors: Hamid Eghbal-zadeh, Khaled Koutini, Paul Primus, Verena Haunschmid, Michal Lewandowski, Werner Zellinger, Bernhard A. Moser, Gerhard Widmer | Published: 2020-07-06
A Multi-step and Resilient Predictive Q-learning Algorithm for IoT with Human Operators in the Loop: A Case Study in Water Supply Networks
Authors: Maria Grammatopoulou, Aris Kanellopoulos, Kyriakos G. ~Vamvoudakis, Nathan Lau | Published: 2020-06-06
Assessing Supply Chain Cyber Risks
Authors: Alberto Redondo, Alberto Torres-Barrán, David Ríos Insua, Jordi Domingo | Published: 2019-11-26
Towards Federated Graph Learning for Collaborative Financial Crimes Detection
Authors: Toyotaro Suzumura, Yi Zhou, Natahalie Baracaldo, Guangnan Ye, Keith Houck, Ryo Kawahara, Ali Anwar, Lucia Larise Stavarache, Yuji Watanabe, Pablo Loyola, Daniel Klyashtorny, Heiko Ludwig, Kumar Bhaskaran | Published: 2019-09-19 | Updated: 2019-10-02
A Deep Belief Network Based Machine Learning System for Risky Host Detection
Authors: Wangyan Feng, Shuning Wu, Xiaodan Li, Kevin Kunkle | Published: 2017-12-29