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

27 papers, page 1 of 1

1. ICLR 2024Adversarial Feature Map Pruning for Backdoor
2. ICLR 2024Backdoor Contrastive Learning via Bi-level Trigger Optimization
3. ICLR 2024Backdoor Federated Learning by Poisoning Backdoor-Critical Layers
4. ICLR 2024Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
5. ICLR 2024BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
6. ICLR 2024BadEdit: Backdooring Large Language Models by Model Editing
7. ICLR 2024BaDExpert: Extracting Backdoor Functionality for Accurate Backdoor Input Detection
8. ICLR 2024Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
9. ICLR 2024Demystifying Poisoning Backdoor Attacks from a Statistical Perspective
10. ICLR 2024Efficient Backdoor Attacks for Deep Neural Networks in Real-world Scenarios
11. ICLR 2024Fusion Is Not Enough: Single Modal Attacks on Fusion Models for 3D Object Detection
12. ICLR 2024Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning
13. ICLR 2024Influencer Backdoor Attack on Semantic Segmentation
14. ICLR 2024Leveraging Optimization for Adaptive Attacks on Image Watermarks
15. ICLR 2024LRR: Language-Driven Resamplable Continuous Representation against Adversarial Tracking Attacks
16. ICLR 2024On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
17. ICLR 2024Poisoned Forgery Face: Towards Backdoor Attacks on Face Forgery Detection
18. ICLR 2024Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective
19. ICLR 2024Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
20. ICLR 2024Rethinking Label Poisoning for GNNs: Pitfalls and Attacks
21. ICLR 2024Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
22. ICLR 2024Safe and Robust Watermark Injection with a Single OoD Image
23. ICLR 2024Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks
24. ICLR 2024Towards Faithful XAI Evaluation via Generalization-Limited Backdoor Watermark
25. ICLR 2024Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features
26. ICLR 2024Universal Backdoor Attacks
27. ICLR 2024VFLAIR: A Research Library and Benchmark for Vertical Federated Learning

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.