LLM Jailbreaks & Defenses
Automated jailbreaks, prompt attacks, and the defenses built to catch or contain them.
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Collections & Series
Browse research by topic, paper trail, and recurring adversarial ML themes.
Adversarial Optimization
How search, evolution, gradients, and black-box optimization discover failures in ML systems.
Autonomous Agents
Security risks that emerge when AI systems can plan, call tools, write code, use memory, coordinate tasks, or act with partial autonomy.
Computer Vision Attacks
Attacks against image classifiers, perception systems, and vision-model assumptions.
Reinforcement Learning Security
How reward functions, agents, environments, and evaluators can be gamed, exploited, or misaligned under optimization pressure.
Supply Chain Security
Security risks in the AI software stack, from model dependencies and agent tools to package ecosystems, plugins, and deployment pipelines.