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 70 篇，第 2 / 2 页

51. ICLR 2024Provably Robust Conformal Prediction with Improved Efficiency
52. ICLR 2024PubDef: Defending Against Transfer Attacks From Public Models
53. ICLR 2024Pushing Boundaries: Mixup's Influence on Neural Collapse
54. ICLR 2024Quantifying and Enhancing Multi-modal Robustness with Modality Preference
55. ICLR 2024Rethinking Model Ensemble in Transfer-based Adversarial Attacks
56. ICLR 2024Robust Adversarial Reinforcement Learning via Bounded Rationality Curricula
57. ICLR 2024Robust Classification via Regression for Learning with Noisy Labels
58. ICLR 2024Robust NAS under adversarial training: benchmark, theory, and beyond
59. ICLR 2024Robustness of AI-Image Detectors: Fundamental Limits and Practical Attacks
60. ICLR 2024SAN: Inducing Metrizability of GAN with Discriminative Normalized Linear Layer
61. ICLR 2024Tensor Trust: Interpretable Prompt Injection Attacks from an Online Game
62. ICLR 2024The Effectiveness of Random Forgetting for Robust Generalization
63. ICLR 2024Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
64. ICLR 2024Theoretical Understanding of Learning from Adversarial Perturbations
65. ICLR 2024Towards Optimal Regret in Adversarial Linear MDPs with Bandit Feedback
66. ICLR 2024Towards Robust Out-of-Distribution Generalization Bounds via Sharpness
67. ICLR 2024Understanding Certified Training with Interval Bound Propagation
68. ICLR 2024Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift
69. ICLR 2024Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
70. ICLR 2024Why is SAM Robust to Label Noise?

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。