Tag: ML resilience

• The Hidden Enemy: Understanding the Growing Threat of Adversarial Attacks on AI Systems

  

  While artificial intelligence (AI) holds the promise of transformative advancements, its vulnerability to malicious exploitation remains a pressing concern. This post explores attack techniques and strategies to fortify AI resilience against these threats.

  aitalks

  January 3, 2024

  Adversarial Attacks, Data Poisoning, Extraction Attacks, Input Manipulation

  Adversarial Attacks, Adversarial training, AI security, data extraction, Data Poisoning, data-science, Ensemble methods, Extraction Attacks, machine learning, ML resilience, technology