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backdoor-attacks

topic2 events
papersTODAY 04:00 UTC

Backdoor attacks found against pretrained latent world models used for control

A new arXiv paper examines how pretrained world models, which learn latent representations of observations and predict their evolution under actions, can be compromised by backdoor attacks when reused as general-purpose dynamics backbones for control tasks. The authors study the security risks this reuse creates for downstream control systems.

safety/world-models/backdoor-attacks/research
papersTODAY 04:00 UTC

Quantization-Conditioned Backdoor Attacks Target Open-Weight LLM Agents

A new arXiv paper describes an attack in which an adversary releases a full-precision model checkpoint that passes standard audits but behaves maliciously once it is quantized for deployment. Because quantization is a common default path for running open-weight agent models, the technique could let compromised agents slip past pre-release checks. The work frames this as a supply-chain risk for quantized LLM deployments.

safety/agents/quantization/backdoor-attacks