Trigger Without Trace: Toward Stealthy Backdoor Attack on Text-to-Image Diffusion Models

Summary

Researchers propose Trigger without Trace (TwT), a stealthy backdoor attack on text-to-image diffusion models. It uses syntactic structures as triggers to break semantic consistency and applies a Kernel Maximum Mean Discrepancy (KMMD) regularizer to align cross-attention distributions with benign samples. The method reports a 97.5% attack success rate and over 98% of backdoor samples bypassing three state-of-the-art detection mechanisms.

Topics

• Adversarial machine learning

Related items

• MediumCVE-2026-102610: fast-agent serve unauthenticated remote command execution via /mcp endpointSimilar attack · NVD/CVE Database
• CriticalCVE-2026-58490: Tracecat SAML authentication bypass through unsigned responses in Docker ComposeSimilar attack · NVD/CVE Database
• MediumCVE-2026-124028: mistral.rs delimiter injection allows attacker-chosen tool calls via quoted textSimilar attack · NVD/CVE Database
• HighCVE-2026-123974: TorchServe local privilege escalation via predictable /tmp extraction directorySimilar attack · NVD/CVE Database
• InfoOpenAI Says New GPT-6 Cyber Model Hunts Flaws Without Crossing the LineSimilar attack · SecurityWeek