Pith. sign in

REVIEW 2 cited by

Beyond the Bridge: Contention-Based Covert and Side Channel Attacks on Multi-GPU Interconnect

Not yet reviewed by Pith; the record is open.

This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.

SPECIMEN: schema-true, not a live event

T0 review · schema-true

One-sentence machine reading of the paper's core claim.

pith:XXXXXXXX · record.json · timestamp

arxiv 2404.03877 v2 pith:3XO3IMVW submitted 2024-04-05 cs.CR

classification cs.CR
keywords channelcovertmulti-gpunvlinksideattackattackscongestion
verification ladder T0 review T1 audit T2 compute T3 formal
0 comments
read the original abstract

High-speed interconnects, such as NVLink, are integral to modern multi-GPU systems, acting as a vital link between CPUs and GPUs. This study highlights the vulnerability of multi-GPU systems to covert and side channel attacks due to congestion on interconnects. An adversary can infer private information about a victim's activities by monitoring NVLink congestion without needing special permissions. Leveraging this insight, we develop a covert channel attack across two GPUs with a bandwidth of 45.5 kbps and a low error rate, and introduce a side channel attack enabling attackers to fingerprint applications through the shared NVLink interconnect.

Discussion (0). Continue with ORCID to comment.

Forward citations

Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score. Full citation record

  1. I Know What You Sync: Covert and Side Channel Attacks on File Systems via syncfs

    cs.CR 2024-11 conditional novelty 7.0 of 10

    A previously unknown timing side channel in the syncfs system call lets an unprivileged process infer other processes' disk-write activity, enabling covert channels and website/video/app fingerprinting on Linux, Andro...

  2. SoK: A Systems Perspective on Compound AI Threats and Countermeasures

    cs.CR 2024-11 conditional novelty 5.0 of 10

    A systematization of software and hardware attacks and defenses for compound AI systems, arguing that cross-layer attack composition reduces the threat model burden on attackers.

Pith tools