Black-Box Adversarial Patch Attacks on VLAs via Ancestor VLM Exploitation
Vision-Language-Action models (VLAs) are increasingly deployed in safety-critical physical environments, yet their adver
今日共收录 747 条安全情报,包含 0 个 CVE,359 篇安全通告,以及 100 篇研究论文。
← 返回归档列表Vision-Language-Action models (VLAs) are increasingly deployed in safety-critical physical environments, yet their adver
Token-Pruning accelerates Vision-Language Models by removing redundant visual tokens, yet its safety implications remain
When an assistant encounters a message for another AI, does it tell its user? Four fixed model-provider deployments perf
DP-SGD protects training data by adding Gaussian noise to clipped gradients. The amount of noise is usually chosen by ru
In post-deployment time, inputs to deep learning models may or may not be adversarially patched. Patch robustness certif
Research software sustainability is often assessed through the FAIR principles: findability, accessibility, interoperabi
Agent skills combine instructions with executable resources, giving third-party packages access to an agent's runtime. E
Watermarking enables language model providers to identify text generated by their models. However, its desired propertie
Computer-use agents (CUAs) perform tasks across applications (such as desktops, mobile apps, and web browsers) by observ
Modern web agents built on large vision-language models process webpages, select relevant UI elements, and translate mod
Public leaderboards for AI models are read continuously, and attackers can see every published standing. Vote rigging, s
Organisations deciding which assets to migrate to post-quantum cryptography first, and how that work competes with a bac
Modern language model systems operate autonomously over increasingly long contexts containing untrusted text and images.
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