Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Jun Sakuma

Jun Sakuma

2 indexed papers

Recent (6 mo)
2
With code
0
Influential cites
0
Benchmarked
0

Publications per year

2
26

Top categories

Crypto×2ML×1NLP×1

Frequent co-authors

Chia-Yi Hsu1×
Chia-Mu Yu1×
Chun-Ying Huang1×
Rui Wen1×
Mark Russinovich1×
Andrew Paverd1×

Research Timeline

2026
MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs

The paper introduces MetaBackdoor, a novel class of LLM backdoor attacks that exploits positional encoding (length-based triggers) rather than requiring modifications to the textual content.

Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent Skills

The paper introduces Neutral Prompting Attacks (NPA), a stealthy method showing that semantically benign prompts can covertly increase package hallucination in coding agents, creating new software supply chain risks.

Highlighted terms show continued research focus across papers

Papers

cs.CRcs.LGRecentMay 28, 2026

Harmless Yet Harmful: Neutral Prompting Attacks for Stealthy Hallucination Steering in Agent Skills

Chia-Yi Hsu, Chia-Mu Yu, Chun-Ying Huang, Jun Sakuma

The paper introduces Neutral Prompting Attacks (NPA), a stealthy method showing that semantically benign prompts can covertly increase package hallucination in coding agents, creating new software sup…

View →
cs.CRcs.CLRecentMay 14, 2026

MetaBackdoor: Exploiting Positional Encoding as a Backdoor Attack Surface in LLMs

Rui Wen, Mark Russinovich, Andrew Paverd, Jun Sakuma +1 more

The paper introduces MetaBackdoor, a novel class of LLM backdoor attacks that exploits positional encoding (length-based triggers) rather than requiring modifications to the textual content.

View →