Gtcsys logo
Get Quote

adversarial attacks

Adversarial attacks are deliberate attempts to manipulate or deceive machine learning models. Attackers introduce misleading data to cause errors in predictions or classifications, compromising the system’s accuracy and reliability.

2 posts in this tag
More resources

What are the main challenges and limitations of machine learning for malware detection?

The main challenges and limitations of machine learning for malware detection include issues with class imbalance, adversarial attacks, explainability, and generalization to new types of malware. Class imbalance occurs when there are significantly more instances of one class than another, leading to biased models. Adversarial attacks can fool machine learning models by introducing specially crafted inputs. Explainability is essential for understanding why a model makes certain decisions. Generalization to new malware types can be challenging due to the constantly evolving nature of threats.

Read More »
March 19, 2024

What are the limitations and challenges of current AI technologies?

Artificial Intelligence (AI) has made significant progress in recent years, but it still faces certain limitations and challenges. Understanding these limitations is crucial to address them and push the boundaries of AI technologies. Some of the major limitations include: Lack of Common Sense Understanding: Current AI models lack the ability to truly understand and comprehend the world in the way humans do. While AI can process vast amounts of data and provide accurate predictions for specific tasks, it lacks the common sense knowledge needed for more general understanding. Sensitivity to Training Data: AI models heavily rely on training data to learn patterns and make predictions. However, biases present in training data can lead to biased results. For example, if an AI model is trained on data with racial or gender biases, it may inadvertently perpetuate these biases in its predictions. Vulnerability to Adversarial Attacks: AI systems can be tricked or manipulated by malicious actors through adversarial attacks. By making small, intentional modifications to input data,

Read More »
January 30, 2024