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My Perspectives
AI Oasis: AI’s Role in Saudi Vision 2030
In a country that so highly prizes tradition, it is refreshing to see such progressive thinking translated into action. Vision…
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AI Security
AI Security 101
Artificial Intelligence (AI) is no longer just a buzzword; it’s an integral part of our daily lives, powering everything from…
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AI Security
Why We Need a Chief AI Security Officer (CAISO)
With AI’s breakneck expansion, the distinctions between ‘cybersecurity’ and ‘AI security’ are becoming increasingly pronounced. While both disciplines aim to…
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My Perspectives
Saudi Arabia Vision 2030: Cybersecurity at the Core of the National Transformation
In KSA, where bold development plans include smart cities, smart ports, AI-integrated infrastructure and digital technologies at the core of…
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AI Security
How to Defend Neural Networks from Neural Trojan Attacks
Neural networks learn from data. They are trained on large datasets to recognize patterns or make decisions. A Trojan attack…
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My Perspectives
Will the Kingdom of Saudi Arabia (KSA) beat Japan to Society 5.0?
In April 2016, the Kingdom of Saudi Arabia (KSA) launched Vision 2030, a comprehensive and ambitious long-term development plan aimed…
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AI Security
Model Fragmentation and What it Means for Security
Model fragmentation is the phenomenon where a single machine-learning model is not used uniformly across all instances, platforms, or applications.…
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AI Security
Outsmarting AI with Model Evasion
Model Evasion in the context of machine learning for cybersecurity refers to the tactical manipulation of input data, algorithmic processes,…
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AI Security
Securing Machine Learning Workflows through Homomorphic Encryption
Homomorphic Encryption has transitioned from being a mathematical curiosity to a linchpin in fortifying machine learning workflows against data vulnerabilities.…
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AI Security
Understanding Data Poisoning: How It Compromises Machine Learning Models
Data poisoning is a targeted form of attack wherein an adversary deliberately manipulates the training data to compromise the efficacy…
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AI Security
Semantic Adversarial Attacks: When Meaning Gets Twisted
Semantic adversarial attacks represent a specialized form of adversarial manipulation where the attacker focuses not on random or arbitrary alterations…
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AI Security
Understanding and Addressing Biases in Machine Learning
While ML offers extensive benefits, it also presents significant challenges, among them, one of the most prominent ones is biases…
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AI Security
Adversarial Attacks: The Hidden Risk in AI Security
Adversarial attacks specifically target the vulnerabilities in AI and ML systems. At a high level, these attacks involve inputting carefully…
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AI Security
Gradient-Based Attacks: A Dive into Optimization Exploits
Gradient-based attacks refer to a suite of methods employed by adversaries to exploit the vulnerabilities inherent in ML models, focusing…
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AI Security
The Unseen Dangers of GAN Poisoning in AI
GAN Poisoning is a unique form of adversarial attack aimed at manipulating Generative Adversarial Networks (GANs) during their training phase;…
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