Backdoor Attacks papers, 2023–2026

Key findings

• Backdoor Attacks went from 73 papers in 2023 to 111 in 2026, roughly 1.5x in three years.
• NeurIPS publishes the most Backdoor Attacks work: 124 papers from 2023 to 2026, 33% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 0 in 2023 to 16 in 2026.
• Among the 5 topics under Security and Trust, it ranks #2 by 2026 paper count; the fastest grower in the group, Watermarking, is up 9.3x versus 1.5x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Theoretical Analysis of Backdoor Learning as Simplicity-Biased Optimization Dynamics
• ICML 2026Coupled Trigger Optimization and Vulnerable Parameter Alignment for Persistent Backdoor Attacks on Federated Learning
• ICLR 2026Defending against Backdoor Attacks via Module Switching
• CVPR 2026Eliminate Distance Differences Induced by Backdoor Attacks Layer-Selective Training and
• NeurIPS 2025A Set of Generalized Components to Achieve Effective Poison-only Clean-label Backdoor Attacks with Collaborative Sample Selection and Triggers
• ICML 2025A Closer Look at Backdoor Attacks on CLIP
• ICLR 2025Activation Gradient based Poisoned Sample Detection Against Backdoor Attacks
• CVPR 2025BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
• NeurIPS 2024Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers
• ICML 2024Better Safe than Sorry: Pre-training CLIP against Targeted Data Poisoning and Backdoor Attacks
• ICLR 2024Adversarial Feature Map Pruning for Backdoor
• CVPR 2024Data Poisoning based Backdoor Attacks to Contrastive Learning
• NeurIPS 2023A Unified Detection Framework for Inference-Stage Backdoor Defenses
• ICML 2023Data Poisoning Attacks Against Multimodal Encoders
• ICLR 2023Adversarial Attacks on Adversarial Bandits
• CVPR 2023Architectural Backdoors in Neural Networks
• NeurIPS 2026AI Models Can Provably Hide Arbitrary Capabilities
• ICML 2026DF-LoGiT: Data-Free Logic-Gated Backdoor Attacks in Vision Transformers
• ICLR 2026Don't Shift the Trigger: Robust Gradient Ascent for Backdoor Unlearning
• CVPR 2026Logit-Margin Repulsion for Backdoor Defense

All Backdoor Attacks papers

380 papers, page 8 of 8

351. ICML 2023Exploring the Limits of Model-Targeted Indiscriminate Data Poisoning Attacks
352. ICML 2023Graph Contrastive Backdoor Attacks
353. ICML 2023MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
354. ICML 2023Preprocessors Matter! Realistic Decision-Based Attacks on Machine Learning Systems
355. ICML 2023Reconstructive Neuron Pruning for Backdoor Defense
356. ICML 2023Rethinking Backdoor Attacks
357. ICML 2023Run-off Election: Improved Provable Defense against Data Poisoning Attacks
358. ICML 2023UMD: Unsupervised Model Detection for X2X Backdoor Attacks
359. ICML 2023Understanding Backdoor Attacks through the Adaptability Hypothesis
360. NeurIPS 2023A Unified Detection Framework for Inference-Stage Backdoor Defenses
361. NeurIPS 2023A3FL: Adversarially Adaptive Backdoor Attacks to Federated Learning
362. NeurIPS 2023BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
363. NeurIPS 2023Blurred-Dilated Method for Adversarial Attacks
364. NeurIPS 2023Defending Pre-trained Language Models as Few-shot Learners against Backdoor Attacks
365. NeurIPS 2023Django: Detecting Trojans in Object Detection Models via Gaussian Focus Calibration
366. NeurIPS 2023Fed-FA: Theoretically Modeling Client Data Divergence for Federated Language Backdoor Defense
367. NeurIPS 2023FedGame: A Game-Theoretic Defense against Backdoor Attacks in Federated Learning
368. NeurIPS 2023Hidden Poison: Machine Unlearning Enables Camouflaged Poisoning Attacks
369. NeurIPS 2023IBA: Towards Irreversible Backdoor Attacks in Federated Learning
370. NeurIPS 2023Label Poisoning is All You Need
371. NeurIPS 2023ParaFuzz: An Interpretability-Driven Technique for Detecting Poisoned Samples in NLP
372. NeurIPS 2023QuadAttac$K$: A Quadratic Programming Approach to Learning Ordered Top-$K$ Adversarial Attacks
373. NeurIPS 2023RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks
374. NeurIPS 2023Robust Contrastive Language-Image Pretraining against Data Poisoning and Backdoor Attacks
375. NeurIPS 2023Scalable Membership Inference Attacks via Quantile Regression
376. NeurIPS 2023Shared Adversarial Unlearning: Backdoor Mitigation by Unlearning Shared Adversarial Examples
377. NeurIPS 2023Static and Sequential Malicious Attacks in the Context of Selective Forgetting
378. NeurIPS 2023Towards Stable Backdoor Purification through Feature Shift Tuning
379. NeurIPS 2023VillanDiffusion: A Unified Backdoor Attack Framework for Diffusion Models
380. NeurIPS 2023What Distributions are Robust to Indiscriminate Poisoning Attacks for Linear Learners?

FAQ

How many Backdoor Attacks papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

381 in total: 73 in 2023, 105 in 2024, 92 in 2025, 111 in 2026.

How many Backdoor Attacks papers are at NeurIPS 2026?

NeurIPS 2026 has 36 Backdoor Attacks papers, versus 31 the year before.

How many Backdoor Attacks papers are at ICLR 2026?

ICLR 2026 has 20 Backdoor Attacks papers, versus 25 the year before.

How many Backdoor Attacks papers are at ICML 2026?

ICML 2026 has 36 Backdoor Attacks papers, versus 17 the year before.

How many Backdoor Attacks papers are at CVPR 2026?

CVPR 2026 has 19 Backdoor Attacks papers, versus 19 the year before.

Which conference publishes the most Backdoor Attacks papers?

NeurIPS, with 124 papers from 2023 to 2026.