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

81 papers, page 2 of 2

51. CVPR 2024PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
52. CVPR 2024Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
53. CVPR 2024Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
54. CVPR 2024Re-thinking Data Availability Attacks Against Deep Neural Networks
55. CVPR 2024Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
56. CVPR 2023Architectural Backdoors in Neural Networks
57. CVPR 2023Backdoor Attacks Against Deep Image Compression via Adaptive Frequency Trigger
58. CVPR 2023Backdoor Cleansing With Unlabeled Data
59. CVPR 2023Backdoor Defense via Adaptively Splitting Poisoned Dataset
60. CVPR 2023Backdoor Defense via Deconfounded Representation Learning
61. CVPR 2023Can't Steal? Cont-Steal! Contrastive Stealing Attacks Against Image Encoders
62. CVPR 2023Color Backdoor: A Robust Poisoning Attack in Color Space
63. CVPR 2023Defending Against Patch-Based Backdoor Attacks on Self-Supervised Learning
64. CVPR 2023Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
65. CVPR 2023Detecting Backdoors in Pre-Trained Encoders
66. CVPR 2023Dynamic Generative Targeted Attacks With Pattern Injection
67. CVPR 2023Efficient Loss Function by Minimizing the Detrimental Effect of Floating-Point Errors on Gradient-Based Attacks
68. CVPR 2023Enhancing the Self-Universality for Transferable Targeted Attacks
69. CVPR 2023Ensemble-Based Blackbox Attacks on Dense Prediction
70. CVPR 2023How to Backdoor Diffusion Models?
71. CVPR 2023MEDIC: Remove Model Backdoors via Importance Driven Cloning
72. CVPR 2023Minimizing Maximum Model Discrepancy for Transferable Black-Box Targeted Attacks
73. CVPR 2023Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks
74. CVPR 2023Re-Thinking Model Inversion Attacks Against Deep Neural Networks
75. CVPR 2023Reinforcement Learning-Based Black-Box Model Inversion Attacks
76. CVPR 2023Sibling-Attack: Rethinking Transferable Adversarial Attacks Against Face Recognition
77. CVPR 2023Single Image Backdoor Inversion via Robust Smoothed Classifiers
78. CVPR 2023The Best Defense Is a Good Offense: Adversarial Augmentation Against Adversarial Attacks
79. CVPR 2023The Dark Side of Dynamic Routing Neural Networks: Towards Efficiency Backdoor Injection
80. CVPR 2023TrojDiff: Trojan Attacks on Diffusion Models With Diverse Targets
81. CVPR 2023You Are Catching My Attention: Are Vision Transformers Bad Learners Under Backdoor Attacks?

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.