对抗鲁棒论文趋势 2023–2026

对抗样本与防御

统计范围：NeurIPS、ICLR、ICML、CVPR 四个会议，2023–2026 年，共 1,291 篇被归入该主题的论文。

主要结论

每年论文数

各会议论文数

按年份和会议统计

对抗鲁棒论文数，按年份和会议
年份NeurIPSICLRICMLCVPR合计
2023100796074313
2024131707360334
2025110888544327
202681949349317

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

全部对抗鲁棒论文

年份全部2023202420252026
会议全部NeurIPSICLRICMLCVPR

共 311 篇，第 6 / 7 页

  1. ICML 2024WAVES: Benchmarking the Robustness of Image Watermarks
  2. ICML 2023A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification
  3. ICML 2023A Law of Robustness beyond Isoperimetry
  4. ICML 2023ACAT: Adversarial Counterfactual Attention for Classification and Detection in Medical Imaging
  5. ICML 2023Adversarial Cheap Talk
  6. ICML 2023Adversarial Classification: Necessary Conditions and Geometric Flows
  7. ICML 2023Adversarial Example Does Good: Preventing Painting Imitation from Diffusion Models via Adversarial Examples
  8. ICML 2023Adversarial Parameter Attack on Deep Neural Networks
  9. ICML 2023Adversarial Policies Beat Superhuman Go AIs
  10. ICML 2023Adversarial robustness of amortized Bayesian inference
  11. ICML 2023Adversarially Robust PAC Learnability of Real-Valued Functions
  12. ICML 2023Beyond the Universal Law of Robustness: Sharper Laws for Random Features and Neural Tangent Kernels
  13. ICML 2023BNN-DP: Robustness Certification of Bayesian Neural Networks via Dynamic Programming
  14. ICML 2023Computational Asymmetries in Robust Classification
  15. ICML 2023CrossSplit: Mitigating Label Noise Memorization through Data Splitting
  16. ICML 2023Delayed Bandits: When Do Intermediate Observations Help?
  17. ICML 2023Detecting Adversarial Data by Probing Multiple Perturbations Using Expected Perturbation Score
  18. ICML 2023Dimension-independent Certified Neural Network Watermarks via Mollifier Smoothing
  19. ICML 2023Directed Chain Generative Adversarial Networks
  20. ICML 2023Do Perceptually Aligned Gradients Imply Robustness?
  21. ICML 2023Doubly Adversarial Federated Bandits
  22. ICML 2023Efficient Rate Optimal Regret for Adversarial Contextual MDPs Using Online Function Approximation
  23. ICML 2023Eliminating Adversarial Noise via Information Discard and Robust Representation Restoration
  24. ICML 2023Extending Kernel PCA through Dualization: Sparsity, Robustness and Fast Algorithms
  25. ICML 2023Federated Adversarial Learning: A Framework with Convergence Analysis
  26. ICML 2023From Robustness to Privacy and Back
  27. ICML 2023GAT: Guided Adversarial Training with Pareto-optimal Auxiliary Tasks
  28. ICML 2023How Many Perturbations Break This Model? Evaluating Robustness Beyond Adversarial Accuracy
  29. ICML 2023Identification of the Adversary from a Single Adversarial Example
  30. ICML 2023Improved Algorithms for White-Box Adversarial Streams
  31. ICML 2023Improving Adversarial Robustness by Putting More Regularizations on Less Robust Samples
  32. ICML 2023Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics
  33. ICML 2023Improving Adversarial Robustness Through the Contrastive-Guided Diffusion Process
  34. ICML 2023Improving l1-Certified Robustness via Randomized Smoothing by Leveraging Box Constraints
  35. ICML 2023Label Distributionally Robust Losses for Multi-class Classification: Consistency, Robustness and Adaptivity
  36. ICML 2023Learning for Edge-Weighted Online Bipartite Matching with Robustness Guarantees
  37. ICML 2023MultiRobustBench: Benchmarking Robustness Against Multiple Attacks
  38. ICML 2023NeRFool: Uncovering the Vulnerability of Generalizable Neural Radiance Fields against Adversarial Perturbations
  39. ICML 2023On the Robustness of Randomized Ensembles to Adversarial Perturbations
  40. ICML 2023On the Robustness of Text Vectorizers
  41. ICML 2023One-vs-the-Rest Loss to Focus on Important Samples in Adversarial Training
  42. ICML 2023Online Nonstochastic Control with Adversarial and Static Constraints
  43. ICML 2023Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization
  44. ICML 2023Phase-aware Adversarial Defense for Improving Adversarial Robustness
  45. ICML 2023Probabilistic Categorical Adversarial Attack and Adversarial Training
  46. ICML 2023Reasons for the Superiority of Stochastic Estimators over Deterministic Ones: Robustness, Consistency and Perceptual Quality
  47. ICML 2023Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework
  48. ICML 2023Refined Regret for Adversarial MDPs with Linear Function Approximation
  49. ICML 2023Robust Perception through Equivariance
  50. ICML 2023Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?

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接上 Paperlist MCP 后，写综述、挑方向或准备投稿时，不用离开对话框就能拿到这页的数字：每年各会议的论文数、增长倍数、涨得最快的子方向和代表论文，AI 会按你的问题整理。

可以直接复制这句话问 AI

用 paperlist 查对抗鲁棒在 NeurIPS 2023–2026 的论文趋势，哪一年涨得最快？

AI 会调用的工具：get_topic_stats {"topic": "adversarial-robustness"}

两分钟接入 Paperlist MCP（Claude Code、Cursor、Codex、ChatGPT）

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。

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