The Big List Of AI Prompt Injection References And Resources
Introduction This curated collection of references and resources serves as a…
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A History Of AI Jailbreaking Attacks
Introduction The last couple years have seen an explosion in research…
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What Is AutoAttack? Evaluating Adversarial Robustness
Introduction AutoAttack has become the de facto standard for adversarial robustness…
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What Are The Adversarial Attacks That Create Adversarial Examples? Typology And Definitions
Introduction Adversarial Examples exploit vulnerabilities in machine learning systems by leveraging…
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Adversarial Examples In Model Extraction
Introduction While primarily known for their use in evasion attacks (causing…
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Backdoor Attacks – The Problem Has Outpaced The Solution
The concept of the backdoor, or “trojan”, AI attack was first…
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Gradient And Update Leakage (GAUL) In Federated Learning
Introduction Gradient and Update Leakage attacks intercept and analyze gradient updates…
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An Introduction To AI Model Extraction
Introduction AI model extraction refers to an attack method where an…
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What Are The Types Of AI Model Extraction Attacks?
Introduction Model Extraction Attacks aim at stealing model architecture, training hyperparameters, learned…
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What Is Alignment-Aware Extraction?
Introduction Alignment-Aware Extraction goes beyond conventional extraction methods by strategically capturing both the…
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