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 1 of 2

1. CVPR 2026AdapAction Adaptive Target Action Backdoor Attack against GUI Agents
2. CVPR 2026AntiStyler Defending Object Detection Models Against Adversarial Patch Attacks Using
3. CVPR 2026BlackMirror Black-Box Backdoor Detection for Text-to-Image Models via Instruction-Response Deviation
4. CVPR 2026Eliminate Distance Differences Induced by Backdoor Attacks Layer-Selective Training and
5. CVPR 2026Exposing Functional Fusion A New Class of Strategic Backdoor in
6. CVPR 2026FORCE Transferable Visual Jailbreaking Attacks via Feature Over-Reliance CorrEction
7. CVPR 2026Fractal Camouflage A Bio-Inspired Approach for Multi-Scale Adversarial Attacks in
8. CVPR 2026Good Can Sometimes be Bad A Unified Attack against 3D
9. CVPR 2026IAG Input-aware Backdoor Attack on VLM-based Visual Grounding
10. CVPR 2026Logit-Margin Repulsion for Backdoor Defense
11. CVPR 2026Out of Sight Out of Track Adversarial Attacks on Propagation-based
12. CVPR 2026Phantom Physical Object Interactions as Dynamic Triggers for NMS-Exploited Backdoors
13. CVPR 2026RaPA Enhancing Transferable Targeted Attacks via Random Parameter Pruning
14. CVPR 2026Towards Human-Imperceptible Backdoor Attacks on Text-to-Image Diffusion Models
15. CVPR 2026Towards Robust Multimodal Large Language Models Against Jailbreak Attacks
16. CVPR 2026Towards Stealthy and Effective Backdoor Attacks on Lane Detection A
17. CVPR 2026VCP-Attack Visual-Contrastive Projection for Transferable Black-Box Targeted Attacks on Large
18. CVPR 2026When Robots Obey the Patch Universal Transferable Patch Attacks on
19. CVPR 2025BadToken: Token-level Backdoor Attacks to Multi-modal Large Language Models
20. CVPR 2025Black-Box Forgery Attacks on Semantic Watermarks for Diffusion Models
21. CVPR 2025Can't Slow Me Down: Learning Robust and Hardware-Adaptive Object Detectors against Latency Attacks for Edge Devices
22. CVPR 2025DeDe: Detecting Backdoor Samples for SSL Encoders via Decoders
23. CVPR 2025Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection
24. CVPR 2025Deterministic Certification of Graph Neural Networks against Graph Poisoning Attacks with Arbitrary Perturbations
25. CVPR 2025EntropyMark: Towards More Harmless Backdoor Watermark via Entropy-based Constraint for Open-source Dataset Copyright Protection
26. CVPR 2025Improving Transferable Targeted Attacks with Feature Tuning Mixup
27. CVPR 2025Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning
28. CVPR 2025Invisible Backdoor Attack against Self-supervised Learning
29. CVPR 2025Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
30. CVPR 2025Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
31. CVPR 2025PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection
32. CVPR 2025Revisiting Backdoor Attacks against Large Vision-Language Models from Domain Shift
33. CVPR 2025Stealthy Backdoor Attack in Self-Supervised Learning Vision Encoders for Large Vision Language Models
34. CVPR 2025Test-Time Backdoor Detection for Object Detection Models
35. CVPR 2025UIBDiffusion: Universal Imperceptible Backdoor Attack for Diffusion Models
36. CVPR 2025Variance-Based Membership Inference Attacks Against Large-Scale Image Captioning Models
37. CVPR 2025Your Scale Factors are My Weapon: Targeted Bit-Flip Attacks on Vision Transformers via Scale Factor Manipulation
38. CVPR 2024Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
39. CVPR 2024Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models
40. CVPR 2024Backdoor Defense via Test-Time Detecting and Repairing
41. CVPR 2024BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
42. CVPR 2024BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
43. CVPR 2024Data Poisoning based Backdoor Attacks to Contrastive Learning
44. CVPR 2024GLOW: Global Layout Aware Attacks on Object Detection
45. CVPR 2024Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
46. CVPR 2024LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
47. CVPR 2024Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
48. CVPR 2024Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers
49. CVPR 2024One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
50. CVPR 2024Overload: Latency Attacks on Object Detection for Edge Devices

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.