Speed Kills: Exploring Confused Deputy Attacks Through Edge AI Accelerators
The paper titled 'Speed Kills: Exploring Confused Deputy Attacks Through Edge AI Accelerators' investigates security vulnerabilities in AI Accelerators (AIA). It reveals that confused deputy attacks are feasible on six out of seven popular AIAs, potentially affecting over 100 million devices. The authors propose a validation defense mechanism that incurs minimal runtime overhead.
- ▪The study focuses on confused deputy attacks using AI Accelerators (AIA).
- ▪Six out of seven AIAs were found to be vulnerable, impacting over 128 System On Chips (SOCs).
- ▪The proposed defense mechanism shows minimal runtime overhead of approximately 15%.
- ▪The findings have been acknowledged by the corresponding vendors and assigned the CVE-2025-66425.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,311 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | arXiv.org |
| Canonical URL | https://arxiv.org/abs/2605.17707 |
| Publication time | Tue, 19 May 2026 12:12:44 +0000 |
| Retrieval time | 2026-05-19T12:14:57.521Z |
| Last seen | 2026-05-19T12:14:57.521Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | 4t2b2_5AXkHV |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Computer Science > Cryptography and Security arXiv:2605.17707 (cs) [Submitted on 18 May 2026] Title:Speed Kills: Exploring Confused Deputy Attacks Through Edge AI Accelerators Authors:Datta Manikanta Sri Hari Danduri, Aravind Kumar Machiry View a PDF of the paper titled Speed Kills: Exploring Confused Deputy Attacks Through Edge AI Accelerators, by Datta Manikanta Sri Hari Danduri and 1 other authors View PDF Abstract:AI Accelerator (AIA) are specialized hardware e.g., Tensor Processing Unit (TPU), that enable optimal and efficient execution of AI applications and on-device inference. The growing demand for AI applications has led to the widespread adoption of AIAs on Edge or embedded devices on Edge or embedded devices.
…
Excerpt limited to ~120 words for fair-use compliance. The full article is at arXiv.org.
Discussion
0 commentsMore from arXiv.org
