Algorithmic Sabotage Research Group %28asrg%29 [new] ✦ (FREE)
Title
Algorithmic Sabotage Research Group (ASRG): Practical Framework for Detection, Mitigation, and Responsible Research
Related Work (brief survey)
- Summarize relevant areas: adversarial ML, data poisoning literature, model robustness, anomaly detection, secure MLops, red-team/blue-team practices.
- Identify gaps: operational detection in production, cross-system cascade effects, responsibility frameworks.
A registry of strategically offensive methodologies to destabilize AI-driven frameworks. ASRG Zine algorithmic sabotage research group %28asrg%29
- ResearchGate: https://www.researchgate.net/publication/342314749_Algorithmic_Sabotage_A_Framework_for_Analyzing_and_Mitigating_the_Impact_of_Adversarial_Manipulation_on_Optimization_Algorithms
- Academia.edu: https://academia.edu/33054343/Algorithmic_Sabotage_A_Framework_for_Analyzing_and_Mitigating_the_Impact_of_Adversarial_Manipulation_on_Optimization_Algorithms
Reclaiming Space: Moving away from "necropolitical" technologies that reinforce structural injustices. Summarize relevant areas: adversarial ML
They threw a wooden shoe into the gears. The machine stopped. And no one got hurt. data poisoning literature