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  2. Adversarial collaboration - Wikipedia

    en.wikipedia.org/wiki/Adversarial_collaboration

    In science, adversarial collaboration is a modality of collaboration wherein opposing views work together in order to jointly advance knowledge of the area under dispute. . This can take the form of a scientific experiment conducted by two groups of experimenters with competing hypotheses, with the aim of constructing and implementing an experimental design in a way that satisfies both groups ...

  3. Understand adversarial attacks by doing one yourself with ...

    www.aol.com/understand-adversarial-attacks-doing...

    In recent years, the media have been paying increasing attention to adversarial examples, input data such as images and audio that have been modified to manipulate the behavior of machine learning ...

  4. Accidental Adversaries - Wikipedia

    en.wikipedia.org/wiki/Accidental_Adversaries

    Accidental Adversaries is one of the ten system archetypes used in system dynamics modelling, or systems thinking.This archetype describes the degenerative pattern that develops when two subjects cooperating for a common goal, accidentally take actions that undermine each other's success.

  5. List of military strategies and concepts - Wikipedia

    en.wikipedia.org/wiki/List_of_military...

    Rapid Decisive Operations – Compelling the adversary to undertake certain actions or denying the adversary the ability to coerce or attack others. Raiding – Attacking with the purpose of removing the enemy's supply or provisions; Refusing the flank – Holding back one side of the battle line to keep the enemy from engaging with that flank ...

  6. What is adversarial machine learning? - AOL

    www.aol.com/adversarial-machine-learning...

    Adversarial examples exploit the way artificial intelligence algorithms work to disrupt the behavior of artificial intelligence algorithms. In the past few years, adversarial machine learning has ...

  7. Adversarial machine learning - Wikipedia

    en.wikipedia.org/wiki/Adversarial_machine_learning

    An adversarial example refers to specially crafted input that is designed to look "normal" to humans but causes misclassification to a machine learning model. Often, a form of specially designed "noise" is used to elicit the misclassifications.

  8. Counterpropaganda - Wikipedia

    en.wikipedia.org/wiki/Counterpropaganda

    He defined counterpropaganda as the "actions to discredit an adversary's use of broadcast media to support their national objectives by influencing the opinions, emotions, attitude, or behavior of U.S. and friendly audiences." [4] The focus in this definition is the actions to discredit the propagandists' use of broadcast media. The definition ...

  9. Compellence - Wikipedia

    en.wikipedia.org/wiki/Compellence

    Compellence is a form of coercion that attempts to get an actor (such as a state) to change its behavior through threats to use force or the actual use of limited force. [1] [2] [3] Compellence can be more clearly described as "a political-diplomatic strategy that aims to influence an adversary's will or incentive structure.