The Algorithmic Sabotage Research Group (ASRG): Weaponizing Flaws Against the Machine

1. Introduction: Beyond Adversarial Examples

In the burgeoning field of Machine Learning (ML) security, most research focuses on defense: robust aggregation, differential privacy, adversarial training, and anomaly detection. A smaller, more provocative, and increasingly vital niche focuses on offense—not to break systems for malice, but to understand their catastrophic failure modes. At the radical fringe of this offensive security research lies the hypothetical (and increasingly real) collective known as the Algorithmic Sabotage Research Group (ASRG).

, outlines ten principles for resistance. It argues that the first step of techno-politics isn't actually technological—it's

The Inevitable Countermeasures

Major AI labs are investing heavily in Adversarial Purification.

Assessment Security Research Group: A group dedicated to integrity in exams and education.