Citation notice #9339 · 2026-08-09 06:17:51.166412+00:00

A Survey on Backdoor Threats in Large Language Models (LLMs): Attacks, Defenses, and Evaluations

cites Red alarm for pre- trained models: Universal vulnerability to neuron-level backdoor attacks,, which carries a correction notice dated 2024-07-05. One-hop deterministic notice: the citation edge exists in the Pith bibliography graph; no model judged whether the citation was load-bearing.

This is not a judgment on the citing paper.

Citing paper Event page Original DOI Notice DOI File a formal challenge All reference changes

01Evidence

Raw extraction · bibliography line · bibliography index 53

Z. Zhang, G. Xiao, Y . Li, T. Lv, F. Qi, Z. Liu, Y . Wang, X. Jiang, and M. Sun, “Red alarm for pre- trained models: Universal vulnerability to neuron-level backdoor attacks,” Machine Intelligence Research , vol. 20, no. 2, p. 180–193, Mar. 2023. [Online]. Available: http://dx.doi.org/10.1007/s11633-022-1377-5

Parser render (TeX stripped for reading; raw above is the evidence)

Z. Zhang, G. Xiao, Y . Li, T. Lv, F. Qi, Z. Liu, Y . Wang, X. Jiang, and M. Sun, “Red alarm for pre- trained models: Universal vulnerability to neuron-level backdoor attacks,” Machine Intelligence Research, vol. 20, no. 2, p. 180–193, Mar. 2023. [Online]. Available: http://dx.doi.org/10.1007/s11633-022-1377-5

02Event

Type

Correction

Source

Crossref

Original DOI

10.1007/s11633-022-1377-5

Notice DOI

10.1007/s11633-024-1507-3

Date

2024-07-05

Title

Correction to: Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks

Reasons

['Correction']

Work

Red alarm for pre- trained models: Universal vulnerability to neuron-level backdoor attacks, (2023) Machine Intelligence Research

Schema constants (for re-runners): correction · crossref

03Dispute this notice

If this citation does not depend on the flagged claim, or the event is wrong, say so. Disputes are public. For a signed challenge against the paper itself, use the formal challenge form.