Tag: AI robustness
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Physical Adversarial Attacks on AI Surveillance Systems
Explore physical adversarial attacks on AI surveillance, focusing on detection, tracking, and visible-infrared evasion techniques in real-world scenarios.
Hyperbolic Geometry for Detecting Harmful AI Prompts
Discover how hyperbolic geometry enhances harmful prompt detection and sanitization in AI, improving safety and accuracy for Vision-Language Models.
FreakOut-LLM: Emotional Impact on AI Safety Alignment
Explore how emotional stimuli affect safety alignment in large language models, revealing vulnerabilities under stress and improving AI robustness.
Secure AI Agents: Defenses Against Indirect Prompt Attacks
Explore system-level defenses to protect AI agents from indirect prompt injection attacks and enhance their security and resilience.
Structured Intent for Cross-Model AI Robustness & Alignment
Explore how structured intent frameworks improve AI goal alignment, cross-language robustness, and user satisfaction across models like GPT-4o and Claude.