Machine Learning Vulnerabilities - Edgentiq

Unlocking Hidden Memories: How LLMs Reveal Training Data When Confused

New Attack Exploits Image-Text Misalignment in AI Image Generators

Unmasking Hidden Threats: Dual-Trigger Backdoors in Graph Foundation Models

VisualDAN: A New Image-Based Attack Method Exposes Critical Vulnerabilities in Vision-Language Models

Exploiting Geometry: Backdoor Attacks on Hyperbolic AI

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Adversarial Attacks Threaten Deep Learning Security in SDN-IoT Networks

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Securing Medical AI: Uncovering and Mitigating Data Poisoning Threats in Multimodal RAG Systems

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Unveiling a New Vulnerability in Distributed AI: How Intercepted Edge Features Empower Adversarial Attacks

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Unmasking VisualTrap: A New Backdoor Threat to AI-Powered GUI Agents

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New Research Uncovers Stealthy Data Poisoning Vulnerability in ControlNet AI Models

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New Research Reveals How Adversarial Audio Can Control and Disrupt AI Voice Assistants

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Gen AI News and Updates

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Unlocking Hidden Memories: How LLMs Reveal Training Data When Confused

November 11, 2025

New Attack Exploits Image-Text Misalignment in AI Image Generators

October 31, 2025

Unmasking Hidden Threats: Dual-Trigger Backdoors in Graph Foundation Models

October 17, 2025