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 327 篇，第 1 / 7 页

1. CVPR 2025A Unified, Resilient, and Explainable Adversarial Patch Detector
2. CVPR 2025A3: Few-shot Prompt Learning of Unlearnable Examples with Cross-Modal Adversarial Feature Alignment
3. CVPR 2025Advancing Adversarial Robustness in GNeRFs: The IL2-NeRF Attack
4. CVPR 2025Boosting Adversarial Transferability through Augmentation in Hypothesis Space
5. CVPR 2025Chain of Attack: On the Robustness of Vision-Language Models Against Transfer-Based Adversarial Attacks
6. CVPR 2025CLIP is Strong Enough to Fight Back: Test-time Counterattacks towards Zero-shot Adversarial Robustness of CLIP
7. CVPR 2025Data-free Universal Adversarial Perturbation with Pseudo-semantic Prior
8. CVPR 2025Detecting Adversarial Data Using Perturbation Forgery
9. CVPR 2025Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
10. CVPR 2025Doppelgangers and Adversarial Vulnerability
11. CVPR 2025Enhancing Adversarial Transferability with Checkpoints of a Single Model's Training
12. CVPR 2025Enhancing Testing-Time Robustness for Trusted Multi-View Classification in the Wild
13. CVPR 2025Exploring Visual Vulnerabilities via Multi-Loss Adversarial Search for Jailbreaking Vision-Language Models
14. CVPR 2025FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering
15. CVPR 2025Gain from Neighbors: Boosting Model Robustness in the Wild via Adversarial Perturbations Toward Neighboring Classes
16. CVPR 2025Harnessing Global-Local Collaborative Adversarial Perturbation for Anti-Customization
17. CVPR 2025IDProtector: An Adversarial Noise Encoder to Protect Against ID-Preserving Image Generation
18. CVPR 2025Improving Adversarial Transferability on Vision Transformers via Forward Propagation Refinement
19. CVPR 2025Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation
20. CVPR 2025Instant Adversarial Purification with Adversarial Consistency Distillation
21. CVPR 2025Leveraging Perturbation Robustness to Enhance Out-of-Distribution Detection
22. CVPR 2025MetricGrids: Arbitrary Nonlinear Approximation with Elementary Metric Grids based Implicit Neural Representation
23. CVPR 2025Mind the Gap: Detecting Black-box Adversarial Attacks in the Making through Query Update Analysis
24. CVPR 2025MOS-Attack: A Scalable Multi-objective Adversarial Attack Framework
25. CVPR 2025NitroFusion: High-Fidelity Single-Step Diffusion through Dynamic Adversarial Training
26. CVPR 2025On the Zero-shot Adversarial Robustness of Vision-Language Models: A Truly Zero-shot and Training-free Approach
27. CVPR 2025PatchDEMUX: A Certifiably Robust Framework for Multi-label Classifiers Against Adversarial Patches
28. CVPR 2025ProjAttacker: A Configurable Physical Adversarial Attack for Face Recognition via Projector
29. CVPR 2025Prompt2Perturb (P2P): Text-Guided Diffusion-Based Adversarial Attack on Breast Ultrasound Images
30. CVPR 2025R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
31. CVPR 2025RAEncoder: A Label-Free Reversible Adversarial Examples Encoder for Dataset Intellectual Property Protection
32. CVPR 2025RCP-Bench: Benchmarking Robustness for Collaborative Perception Under Diverse Corruptions
33. CVPR 2025Rethinking the Adversarial Robustness of Multi-Exit Neural Networks in an Attack-Defense Game
34. CVPR 2025Saliuitl: Ensemble Salience Guided Recovery of Adversarial Patches against CNNs
35. CVPR 2025Stop Walking in Circles! Bailing Out Early in Projected Gradient Descent
36. CVPR 2025T-CIL: Temperature Scaling using Adversarial Perturbation for Calibration in Class-Incremental Learning
37. CVPR 2025TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions
38. CVPR 2025TAPT: Test-Time Adversarial Prompt Tuning for Robust Inference in Vision-Language Models
39. CVPR 2025TAROT: Towards Essentially Domain-Invariant Robustness with Theoretical Justification
40. CVPR 2025Theoretical Insights in Model Inversion Robustness and Conditional Entropy Maximization for Collaborative Inference Systems
41. CVPR 2025Tightening Robustness Verification of MaxPool-based Neural Networks via Minimizing the Over-Approximation Zone
42. CVPR 2025Towards Effective and Sparse Adversarial Attack on Spiking Neural Networks via Breaking Invisible Surrogate Gradients
43. CVPR 2025Towards Million-Scale Adversarial Robustness Evaluation With Stronger Individual Attacks
44. CVPR 2025Weakly Supervised Contrastive Adversarial Training for Learning Robust Features from Semi-supervised Data
45. ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
46. ICLR 2025ADBM: Adversarial Diffusion Bridge Model for Reliable Adversarial Purification
47. ICLR 2025Adversarial Attacks on Data Attribution
48. ICLR 2025Adversarial Latent Feature Augmentation for Fairness
49. ICLR 2025Adversarial Machine Unlearning
50. ICLR 2025Adversarial Mixup Unlearning

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。