Abstract—Attack detection is usually approached as a clas- sification problem. However, standard classification tools often.
People also ask
What is adversarial classification game theory?
What is the game theory of John Nash?
What is an example of a game theory?
What is the game theory in economics?
Oct 17, 2016 · In this investigation we model the interaction as a game between a defender who chooses a classifier to distinguish between attacks and normal ...
Research in adversarial learning follows a cat and mouse game between attackers and defenders where attacks are proposed, they are mitigated by new defenses ...
... In a recent paper, Dritsoula et al. [15] propose a model where the defender can select any classifier (i.e., function from the set of data to {0, 1}). A key ...
Defender being the leader is a one-leader-m-follower game. We study the players' equilibrium behavior for the two games – de- fender being the leader vs.
Missing: Analysis | Show results with:Analysis
In this paper, we propose a game-theoretic framework for studying attacks and defenses which exist in equilibrium. Under a locally linear decision boundary ...
Missing: Classification. | Show results with:Classification.
In this paper, we propose a game-theoretic approach to model and analyse the interactions between an adversary and a decision maker (i.e., a classifier). As a ...
Sep 12, 2021 · We review two cases of game theory-based machine learning techniques: in one case, players play a zero sum game by following a minimax strategy, ...
Most of these techniques use supervised learning al- gorithms that rely on training the al- gorithm to classify incoming data into categories, using data ...
Feb 1, 2023 · We show that this framework creates an ensemble of defenses with greater robustness than a combinational defense with a uniform or random ...