1 citations · 1 across the 4 of their papers we have counts for
4 papers
Adversarial training with restricted data manipulation
David Benfield, Stefano Coniglio, Phan Tu Vuong +1
Adversarial machine learning concerns situations in which learners face attacks from active adversaries. Such scenarios arise in applications such as spam email filtering, malware…
Box Allocation Optimization in Meal Kit Delivery
Thi Minh Thu Nguyen, Loic Genest, Alain Zemkoho
This study introduces the Box Allocation Problem (BAP), a novel optimization challenge in the $1.4 billion UK meal kit delivery market. BAP involves assigning orders across multipl…
AIIPot: Adaptive Intelligent-Interaction Honeypot for IoT Devices
Volviane Saphir Mfogo, Alain Zemkoho, Laurent Njilla +2
The proliferation of the Internet of Things (IoT) has raised concerns about the security of connected devices. There is a need to develop suitable and cost-efficient methods to ide…
Achieving Better Regret against Strategic Adversaries
Le Cong Dinh, Tri-Dung Nguyen, Alain Zemkoho +1
We study online learning problems in which the learner has extra knowledge about the adversary's behaviour, i.e., in game-theoretic settings where opponents typically follow some n…