arXiv:2609.01046v1 Announce Type: cross
Abstract: Production LLMs must handle inputs that attempt to override system instructions, bypass safety policies or elicit harmful responses. A common mitigat...
By Nikita Oblakov, Sabrina Sadiekh, Evgeniy Kokuykin
arXiv:2607. 02079v1 Announce Type: cross Abstract: We present HaloGuard 1.
By Navaneeth Sangameswaran, Preetham S, Ashmiya Lenin
arXiv:2608.21880v1 Announce Type: new
Abstract: Bangla large language model (LLM) safety is difficult to evaluate with English-centric or standard-script benchmarks because Bangla users routinely wri...
By Md. Rakibul Hassan, Muhammad Iqbal Hossain
arXiv:2508. 10029v3 Announce Type: replace-cross Abstract: Safety-aligned large language models can still be manipulated through white-box interventions that modify their internal representations.
By Wenpeng Xing, Bohan Yang, Mohan Li, Chunqiang Hu, Haitao Xu, Ningyu Zhang, Bo Lin, Meng Han
arXiv:2604. 06550v3 Announce Type: replace-cross Abstract: Agent skills combine natural-language instructions with executable code while inheriting an agent's filesystem, credential, and network access.
By Yinghan Hou, Zongyou Yang
arXiv:2608. 08468v1 Announce Type: cross Abstract: Agent Skills---structured packages of instructions and scripts that augment LLM-based agents---are rapidly proliferating, yet their security properties remain under-explored.
By Xinze Chen, Chi Zhang, Ping Ji, Yimin Liu