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Research map / Adversarial robustness and security / Backdoor and poisoning

Trigger-based backdoor attacks

Design poisoning-based backdoor attacks with hidden or clean-label triggers on vision models.

106 accepted papers at ICML, NeurIPS, ICLR, CVPR and AAAI (2018–2026) · an approach in Backdoor and poisoning, keyword cluster “backdoor attack · poisoning · triggers”

State History Benchmarks Tried Checklist Preprints Who Export

Where it stands

Few recent reports The tracked benchmarks have at most one report from 2025–26 that could beat the old record, too few to say whether they are still moving.

36 papers in 2023–24 and 33 in 2025–26 (at ICML, NeurIPS, ICLR, CVPR and AAAI); its share of the topic shrank, from 33.6% to 22.1%.

No longer reported by papers here: CIFAR-100 (ASR, last in 2024); Gtsrb (ASR (%), last in 2024).

How this is decided

A benchmark is tracked when at least four papers of this approach report their own method on the same dataset and metric in at least two different years. Its record is the best number reported up to 2024 compared with the best reported in 2025–26: still improving means at least 1% better, flat means at most 0.2% better with at least two papers from 2025–26 trying. Numbers on a different scale from the rest (a fraction among percentages) and far outliers are left out. Results come from different papers with different setups, so they are signals, not head-to-head comparisons. The share of papers is counted at ICML, NeurIPS, ICLR, CVPR and AAAI.

How it got here

2016: 0162017: 0172018: 2182019: 1192020: 6202021: 8212022: 20222023: 15232024: 21242025: 15252026: 1826

Most cited paper of each year

Earliest papers here

Benchmark records

The best number each year that beat every earlier one, among papers of this approach reporting their own method. Numbers are extracted by AI from each paper's text; check the paper before citing.

CIFAR-10 · ASR (higher is better)

7 papers, 2022–2025 · one report since 2024, not better

2022: 91.52023: 97.552024: 100
20222025

CIFAR-100 · ASR (higher is better)

4 papers, 2023–2024 · not reported since 2024

2023: 96.272024: 99.16
20232024

Gtsrb · ASR (%) (higher is better)

4 papers, 2023–2024 · not reported since 2024

2023: 99.72024: 100
20232024

What has been tried

84 papers here report 850 measured changes (a component added, removed or swapped, compared with a baseline): helped 58%, no clear effect 13%, hurt 24%, mixed 5%. Papers mostly publish changes that helped, so "helped" is over-represented.

Ablations in recent papers

What was changedMeasured onResultEffectPaper
use 10% clean-data fine-tuning instead of Elijah removalBackdoor removal experiment · ASRclose to 1 -> 0 within 5 epochsHurtElijah: Eliminating Backdoors Injected in Diffusion Models via Distribution Shift (AAAI 2024 · 27 citations)
add alternated training of the trigger generator and surrogate classifier instead of training the generator against a fixed clean surrogateCIFAR-10 · ASRHelpedCOMBAT: Alternated Training for Effective Clean-Label Backdoor Attacks (AAAI 2024 · 21 citations)
Replace random cropping with localized croppingImageNet100-B · ASR (%)89.9 -> 0.9HurtData Poisoning based Backdoor Attacks to Contrastive Learning (CVPR 2024 · 18 citations)
jointly optimize the JPEG quantization tables and classifier loss instead of using fixed standard quantization tablesGTSRB JPEG-compressed images · ASR (%)HelpedConditional Backdoor Attack via JPEG Compression (AAAI 2024 · 14 citations)
Add trigger focusing to simple data poisoningCIFAR-10 · ASR-comb97.88% ± 1.81% -> 0.02% ± 0.09%HelpedLOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning (CVPR 2024 · 11 citations)
Use DCT instead of DFTHMDB-51, Res(2+1)D · ACC53.0 -> 43.3HurtTemporal-Distributed Backdoor Attack against Video Based Action Recognition (AAAI 2024 · 8 citations)
Add CLIP-CFE to BadNetsCIFAR-100 clean-label single-class, VGG-16 · ASR187%HelpedEfficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios (ICLR 2024 · 6 citations)
Vary the poisoning rate; cross-lingual trigger exceeds 90% ASR when rate exceeds 3%MLQA · ASRMixedCL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers (AAAI 2025 · 5 citations)
Set threshold λ to a small valueMNIST · backdoored accuracy (BA)HelpedData Free Backdoor Attacks (NeurIPS 2024 · 5 citations)
Use UIBDiffusion's generated trigger instead of original UAPCIFAR-10 · ASR43.75% -> 100%HelpedUIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models (CVPR 2025 · 4 citations)
Add the trigger augmentor to CMTFBHM, OCR · CDA0.634 -> 0.649HelpedMeme Trojan: Backdoor Attacks Against Hateful Meme Detection via Cross-Modal Triggers (AAAI 2025 · 3 citations)
Use tempo mode at a poisoning rate of 1.5% rather than a lower rateNot specified · ASRHelpedSpeed Master: Quick or Slow Play to Attack Speaker Recognition (AAAI 2025 · 3 citations)

What reviewers will expect

Datasets and baselines named in the 21 papers of this approach from 2025–2026 that have a full-text summary. Leaving out the common ones is a frequent review question.

Datasets

  • CIFAR-10 · 9 of 21 papers
  • TinyImageNet · 3 of 21 papers
  • Cora · 2 of 21 papers
  • Pubmed · 2 of 21 papers
  • ImageNet-10 · 2 of 21 papers
  • CelebA-HQ · 2 of 21 papers
  • SVHN · 2 of 21 papers
  • GTSRB · 2 of 21 papers

Baselines

  • MIA · 2 of 21 papers
  • GTA · 2 of 21 papers
  • BadDiffusion · 2 of 21 papers
  • VillanDiffusion · 2 of 21 papers
  • Neural Cleanse · 2 of 21 papers
  • SCALE-UP · 2 of 21 papers
  • TED · 2 of 21 papers
  • Random selection · 2 of 21 papers

Recent preprints

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    Who publishes on it

    Institutions on the most papers of this approach since 2023 (of 69 papers; from OpenAlex and the papers' affiliations).

    Use it

    Download BibTeX of 40 key papersOpen the topic in the interactive map

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    Same keyword cluster

    Elsewhere in the topic

    Benchmark numbers, ablations and baseline numbers are extracted by AI from each paper's full text and can be wrong; the paper is the authority. Data: results index of 2026-11-02, citation counts from OpenAlex (2026-10-09).

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