Paper

Kops: Safely Extending the eBPF Compilation Pipeline with Native Operations

Unreadunread

AI summary

arXiv:2606. 24213v1 Announce Type: cross Abstract: eBPF safely extends OS kernels in domains such as networking, observability, and security.

Reading status

Priority

About this paper

Authors: Yusheng Zheng, Zhengjie Ji, Weichen Tao, Hao Sun, Wei Zhang, Dan Williams, Andi Quinn
Released: 2026-06-24 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Kops: Safely Extending the eBPF Compilation Pipeline with Native Operations overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: code, latin, rect, line, without, emit. Source: arxiv cs.CR (Cryptography and Security).
arXiv: 2606.24213

Ask Claude about this paper

Posts a comment with @claude so the runner spins up a Claude Code session scoped to Kops: Safely Extending the eBPF Compilation Pipeline with Native Operations. Replies appear in the conversation below.

Comments

No comments yet.

Related records

No links yet.