Enabling Adversarial Robustness in AI Models through Kubeflow MLOps

This collection highlights multiple emerging offensive and defensive developments in AI, cloud, and systems security. Key risks: (1) stateful LLM assistants introduce a new, high-success attack surface—"sleeper memory poisoning"—where adversaries can plant persistent false memories that later drive agentic behavior; (2) LLM-driven tooling (uGen) can autonomously synthesize functional microarchitectural attack PoCs (Spectre, Prime+Probe), lowering the expertise barrier for hardware attacks; (3) practical DP-SGD implementations deviate from theoretical models (SGM), producing weaker privacy than