对抗鲁棒论文趋势 2023–2026

主要结论

• 对抗鲁棒论文从 2023 年的 313 篇增长到 2026 年的 317 篇，三年间扩大到约 1.0 倍。
• NeurIPS 是发对抗鲁棒论文最多的会议，2023–2026 年共 422 篇，占四个会议总量的 33%。
• 交叉方向里涨得最快的是对齐与安全：同时属于两个主题的论文从 2023 年的 13 篇增至 2026 年的 56 篇。
• 在「安全与可信」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的水印是 9.3 倍，对抗鲁棒是 1.0 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A Little Robustness Is All You Need: Leveraging Predictions for Contextual Optimization
• ICML 2026Bias in Zeroth-Order Normal Estimation for Decision-Based Attacks
• ICLR 2026CERTIFIED VS. EMPIRICAL ADVERSARIAL ROBUSTNESS VIA HYBRID CONVOLUTIONS WITH ATTENTION STOCHASTICITY
• CVPR 2026A Combination of Noise and Bilateral Filters Achieve Supralinear and
• NeurIPS 2025A Unified Approach to Submodular Maximization Under Noise
• ICML 2025Adversarial Perturbations Are Formed by Iteratively Learning Linear Combinations of the Right Singular Vectors of the Adversarial Jacobian
• ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
• CVPR 2025A Unified, Resilient, and Explainable Adversarial Patch Detector
• NeurIPS 2024A StrongREJECT for Empty Jailbreaks
• ICML 2024Adversarial Attacks on Combinatorial Multi-Armed Bandits
• ICLR 2024An LLM can Fool Itself: A Prompt-Based Adversarial Attack
• CVPR 2024Defense Against Adversarial Attacks on No-Reference Image Quality Models with Gradient Norm Regularization
• NeurIPS 2023A Closer Look at the Robustness of Contrastive Language-Image Pre-Training (CLIP)
• ICML 2023A Law of Robustness beyond Isoperimetry
• ICLR 2023A law of adversarial risk, interpolation, and label noise
• CVPR 2023Adversarial Normalization: I Can Visualize Everything (ICE)
• NeurIPS 2026A Regularization-Based Approach to Public Belief State Search for Adversarial Games
• ICML 2026CaliDist: Calibrating Large Language Models via Behavioral Robustness to Distraction
• ICLR 2026Conformal Robustness Control: A New Strategy for Robust Decision
• CVPR 2026A Provable Energy-Guided Test-Time Defense Boosting Adversarial Robustness of Large

全部对抗鲁棒论文

共 74 篇，第 1 / 2 页

1. CVPR 2023A Large-Scale Robustness Analysis of Video Action Recognition Models
2. CVPR 2023Adversarial Counterfactual Visual Explanations
3. CVPR 2023Adversarial Normalization: I Can Visualize Everything (ICE)
4. CVPR 2023Adversarial Robustness via Random Projection Filters
5. CVPR 2023AGAIN: Adversarial Training With Attribution Span Enlargement and Hybrid Feature Fusion
6. CVPR 2023Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations
7. CVPR 2023Benchmarking Robustness of 3D Object Detection to Common Corruptions
8. CVPR 2023BiasAdv: Bias-Adversarial Augmentation for Model Debiasing
9. CVPR 2023Black-Box Sparse Adversarial Attack via Multi-Objective Optimisation
10. CVPR 2023Boosting Accuracy and Robustness of Student Models via Adaptive Adversarial Distillation
11. CVPR 2023CFA: Class-Wise Calibrated Fair Adversarial Training
12. CVPR 2023Color Backdoor: A Robust Poisoning Attack in Color Space
13. CVPR 2023Cooperation or Competition: Avoiding Player Domination for Multi-Target Robustness via Adaptive Budgets
14. CVPR 2023CUDA: Convolution-Based Unlearnable Datasets
15. CVPR 2023Demystifying Causal Features on Adversarial Examples and Causal Inoculation for Robust Network by Adversarial Instrumental Variable Regression
16. CVPR 2023Detecting Backdoors During the Inference Stage Based on Corruption Robustness Consistency
17. CVPR 2023Discrete Point-Wise Attack Is Not Enough: Generalized Manifold Adversarial Attack for Face Recognition
18. CVPR 2023Dual-Bridging With Adversarial Noise Generation for Domain Adaptive rPPG Estimation
19. CVPR 2023Edges to Shapes to Concepts: Adversarial Augmentation for Robust Vision
20. CVPR 2023Enhancing Multiple Reliability Measures via Nuisance-Extended Information Bottleneck
21. CVPR 2023Evading DeepFake Detectors via Adversarial Statistical Consistency
22. CVPR 2023Evading Forensic Classifiers With Attribute-Conditioned Adversarial Faces
23. CVPR 2023Feature Separation and Recalibration for Adversarial Robustness
24. CVPR 2023FIANCEE: Faster Inference of Adversarial Networks via Conditional Early Exits
25. CVPR 2023GANmouflage: 3D Object Nondetection With Texture Fields
26. CVPR 2023Generalist: Decoupling Natural and Robust Generalization
27. CVPR 2023ImageNet-E: Benchmarking Neural Network Robustness via Attribute Editing
28. CVPR 2023Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization
29. CVPR 2023Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation
30. CVPR 2023Improving Robustness of Vision Transformers by Reducing Sensitivity To Patch Corruptions
31. CVPR 2023Improving the Transferability of Adversarial Samples by Path-Augmented Method
32. CVPR 2023Improving Zero-Shot Generalization and Robustness of Multi-Modal Models
33. CVPR 2023Introducing Competition To Boost the Transferability of Targeted Adversarial Examples Through Clean Feature Mixup
34. CVPR 2023Jedi: Entropy-Based Localization and Removal of Adversarial Patches
35. CVPR 2023Label-Free Liver Tumor Segmentation
36. CVPR 2023Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation
37. CVPR 2023Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking
38. CVPR 2023Masked Auto-Encoders Meet Generative Adversarial Networks and Beyond
39. CVPR 2023Multi-View Adversarial Discriminator: Mine the Non-Causal Factors for Object Detection in Unseen Domains
40. CVPR 2023Open-Set Semantic Segmentation for Point Clouds via Adversarial Prototype Framework
41. CVPR 2023PEFAT: Boosting Semi-Supervised Medical Image Classification via Pseudo-Loss Estimation and Feature Adversarial Training
42. CVPR 2023Physical-World Optical Adversarial Attacks on 3D Face Recognition
43. CVPR 2023Physically Adversarial Infrared Patches With Learnable Shapes and Locations
44. CVPR 2023PointCert: Point Cloud Classification With Deterministic Certified Robustness Guarantees
45. CVPR 2023PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation
46. CVPR 2023Privacy-Preserving Adversarial Facial Features
47. CVPR 2023Progressive Backdoor Erasing via Connecting Backdoor and Adversarial Attacks
48. CVPR 2023Proximal Splitting Adversarial Attack for Semantic Segmentation
49. CVPR 2023Randomized Adversarial Training via Taylor Expansion
50. CVPR 2023Rate Gradient Approximation Attack Threats Deep Spiking Neural Networks

常见问题

2023–2026 年四大会议一共有多少篇对抗鲁棒论文？

共 1,291 篇，按年份分别是 2023 年 313 篇、2024 年 334 篇、2025 年 327 篇、2026 年 317 篇。

NeurIPS 2026 有多少篇对抗鲁棒论文？

NeurIPS 2026 有 81 篇对抗鲁棒论文，上一届是 110 篇。

ICLR 2026 有多少篇对抗鲁棒论文？

ICLR 2026 有 94 篇对抗鲁棒论文，上一届是 88 篇。

ICML 2026 有多少篇对抗鲁棒论文？

ICML 2026 有 93 篇对抗鲁棒论文，上一届是 85 篇。

CVPR 2026 有多少篇对抗鲁棒论文？

CVPR 2026 有 49 篇对抗鲁棒论文，上一届是 44 篇。

哪个会议的对抗鲁棒论文最多？

NeurIPS，2023–2026 年共 422 篇。