Backdoor Attacks papers, 2023–2026
Triggers and detection
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 381 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 21 | 15 | 11 | 26 | 73 |
| 2024 | 36 | 27 | 24 | 18 | 105 |
| 2025 | 31 | 25 | 17 | 19 | 92 |
| 2026 | 36 | 20 | 36 | 19 | 111 |
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
18 papers, page 1 of 1
- CVPR 2024Adversarial Backdoor Attack by Naturalistic Data Poisoning on Trajectory Prediction in Autonomous Driving
- CVPR 2024Attack To Defend: Exploiting Adversarial Attacks for Detecting Poisoned Models
- CVPR 2024Backdoor Defense via Test-Time Detecting and Repairing
- CVPR 2024BadCLIP: Dual-Embedding Guided Backdoor Attack on Multimodal Contrastive Learning
- CVPR 2024BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
- CVPR 2024Data Poisoning based Backdoor Attacks to Contrastive Learning
- CVPR 2024GLOW: Global Layout Aware Attacks on Object Detection
- CVPR 2024Improving Transferable Targeted Adversarial Attacks with Model Self-Enhancement
- CVPR 2024LOTUS: Evasive and Resilient Backdoor Attacks through Sub-Partitioning
- CVPR 2024Nearest is Not Dearest: Towards Practical Defense against Quantization-conditioned Backdoor Attacks
- CVPR 2024Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers
- CVPR 2024One-Class Face Anti-spoofing via Spoof Cue Map-Guided Feature Learning
- CVPR 2024Overload: Latency Attacks on Object Detection for Edge Devices
- CVPR 2024PAD: Patch-Agnostic Defense against Adversarial Patch Attacks
- CVPR 2024Physical 3D Adversarial Attacks against Monocular Depth Estimation in Autonomous Driving
- CVPR 2024Physical Backdoor: Towards Temperature-based Backdoor Attacks in the Physical World
- CVPR 2024Re-thinking Data Availability Attacks Against Deep Neural Networks
- CVPR 2024Strong Transferable Adversarial Attacks via Ensembled Asymptotically Normal Distribution Learning
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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.