AI Security
IBM's open-source ART framework lets developers systematically attack their own AI models to find vulnerabilities before bad actors do. Here's why robustness testing matters.
AI Security
New research demonstrates how multiple LLMs working together can generate adaptive adversarial attacks that bypass AI safety filters. The technique uses collaborative reasoning to craft prompts that exploit model vulnerabilities more effectively than single-agent approaches.
AI Security
New research demonstrates how synthetic data generation can systematically optimize adversarial attacks against AI agents, revealing critical security vulnerabilities in autonomous systems through automated testing frameworks.
voice cloning
Researchers demonstrate AI can clone voices using just photographs, eliminating the need for audio samples. This breakthrough raises new concerns for synthetic media and digital authenticity verification.
Agentic AI
Comprehensive research paper examines security vulnerabilities in autonomous AI agents, detailing attack vectors, defense strategies, and evaluation methods for protecting agentic systems from adversarial threats.
deepfakes
Korean tech company Hancomwith debuts advanced deepfake detection system at KPEX 2025, marking significant advancement in synthetic media authentication technology.