对齐与安全论文趋势 2023–2026

主要结论

• 对齐与安全论文从 2023 年的 438 篇增长到 2026 年的 1,882 篇，三年间扩大到约 4.3 倍。
• NeurIPS 是发对齐与安全论文最多的会议，2023–2026 年共 1,421 篇，占四个会议总量的 31%。
• 交叉方向里涨得最快的是社会层面 · safety：同时属于两个主题的论文从 2023 年的 0 篇增至 2026 年的 137 篇。
• 在「对齐与负责任 AI」的 5 个主题里，它的 2026 年论文数排第 1；同组增长最快的社会层面 · safety是 93 倍，对齐与安全是 4.3 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 2026$\gamma$-weakly $\theta$-up-concavity: A Unified Framework for Non-Convex Optimization Beyond DR-Submodular and OSS Functions
• ICML 2026AICrypto: Evaluating Cryptography Capabilities of Large Language Models
• ICLR 2026A Fair Bayesian Inference through Matched Gibbs Posterior
• CVPR 2026Advancing Cancer Prognosis with Hierarchical Fusion of Genomic Proteomic and
• NeurIPS 2025$\Psi$-Sampler: Initial Particle Sampling for SMC-Based Inference-Time Reward Alignment in Score Models
• ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
• ICLR 2025$\sigma$-zero: Gradient-based Optimization of $\ell_0$-norm Adversarial Examples
• CVPR 2025AesthetiQ: Enhancing Graphic Layout Design via Aesthetic-Aware Preference Alignment of Multi-modal Large Language Models
• NeurIPS 2024A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
• ICML 2024A Global Geometric Analysis of Maximal Coding Rate Reduction
• ICLR 2024A unique M-pattern for micro-expression spotting in long videos
• CVPR 2024Decompose-and-Compose: A Compositional Approach to Mitigating Spurious Correlation
• NeurIPS 2023(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
• ICML 2023A Robust Optimisation Perspective on Counterexample-Guided Repair of Neural Networks
• ICLR 2023Aligning Model and Macaque Inferior Temporal Cortex Representations Improves Model-to-Human Behavioral Alignment and Adversarial Robustness
• CVPR 2023Adjustment and Alignment for Unbiased Open Set Domain Adaptation
• NeurIPS 2026$\mathcal{P}$Torch: Narrowing the Gap Between Projection and Gradient-Based Learning
• ICML 2026Alignment Pretraining: AI Discourse Causes Self-Fulfilling (Mis)alignment
• ICLR 2026A2D: Any-Order, Any-Step Safety Alignment for Diffusion Language Models
• CVPR 2026AlignPose Generalizable 6D Pose Estimation via Multi-view Feature-metric Alignment

全部对齐与安全论文

共 348 篇，第 2 / 7 页

51. NeurIPS 2024CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense
52. NeurIPS 2024Certified Adversarial Robustness via Randomized $\alpha$-Smoothing for Regression Models
53. NeurIPS 2024Certified Robustness for Deep Equilibrium Models via Serialized Random Smoothing
54. NeurIPS 2024Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
55. NeurIPS 2024Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift
56. NeurIPS 2024CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses
57. NeurIPS 2024CLIPCEIL: Domain Generalization through CLIP via Channel rEfinement and Image-text aLignment
58. NeurIPS 2024CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
59. NeurIPS 2024CNCA: Toward Customizable and Natural Generation of Adversarial Camouflage for Vehicle Detectors
60. NeurIPS 2024Coded Computing for Resilient Distributed Computing: A Learning-Theoretic Framework
61. NeurIPS 2024ColJailBreak: Collaborative Generation and Editing for Jailbreaking Text-to-Image Deep Generation
62. NeurIPS 2024CoMat: Aligning Text-to-Image Diffusion Model with Image-to-Text Concept Matching
63. NeurIPS 2024Confidence Calibration of Classifiers with Many Classes
64. NeurIPS 2024Conformal Alignment: Knowing When to Trust Foundation Models with Guarantees
65. NeurIPS 2024Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
66. NeurIPS 2024Conformalized Multiple Testing after Data-dependent Selection
67. NeurIPS 2024Conformalized Time Series with Semantic Features
68. NeurIPS 2024Consistency Purification: Effective and Efficient Diffusion Purification towards Certified Robustness
69. NeurIPS 2024Constrained Adaptive Attack: Effective Adversarial Attack Against Deep Neural Networks for Tabular Data
70. NeurIPS 2024Constructing Semantics-Aware Adversarial Examples with a Probabilistic Perspective
71. NeurIPS 2024Contextual Bilevel Reinforcement Learning for Incentive Alignment
72. NeurIPS 2024Continual Learning with Global Alignment
73. NeurIPS 2024Cooperate or Collapse: Emergence of Sustainable Cooperation in a Society of LLM Agents
74. NeurIPS 2024Cross-Modality Perturbation Synergy Attack for Person Re-identification
75. NeurIPS 2024DACO: Towards Application-Driven and Comprehensive Data Analysis via Code Generation
76. NeurIPS 2024DarkSAM: Fooling Segment Anything Model to Segment Nothing
77. NeurIPS 2024DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain
78. NeurIPS 2024Data Free Backdoor Attacks
79. NeurIPS 2024Decoding-Time Language Model Alignment with Multiple Objectives
80. NeurIPS 2024Deep Learning in Medical Image Registration: Magic or Mirage?
81. NeurIPS 2024DeSparsify: Adversarial Attack Against Token Sparsification Mechanisms
82. NeurIPS 2024DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
83. NeurIPS 2024DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification
84. NeurIPS 2024Diffusion Models are Certifiably Robust Classifiers
85. NeurIPS 2024Diffusion-based Layer-wise Semantic Reconstruction for Unsupervised Out-of-Distribution Detection
86. NeurIPS 2024DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
87. NeurIPS 2024Direct Unlearning Optimization for Robust and Safe Text-to-Image Models
88. NeurIPS 2024Discovering Preference Optimization Algorithms with and for Large Language Models
89. NeurIPS 2024Distributional Preference Alignment of LLMs via Optimal Transport
90. NeurIPS 2024Distributionally Robust Performative Prediction
91. NeurIPS 2024DoFIT: Domain-aware Federated Instruction Tuning with Alleviated Catastrophic Forgetting
92. NeurIPS 2024DPIC: Decoupling Prompt and Intrinsic Characteristics for LLM Generated Text Detection
93. NeurIPS 2024Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision
94. NeurIPS 2024EEVR: A Virtual Reality-Based Emotion Dataset Featuring Paired Physiological Signals and Textual Descriptions
95. NeurIPS 2024Efficient Availability Attacks against Supervised and Contrastive Learning Simultaneously
96. NeurIPS 2024Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization
97. NeurIPS 2024EHRCon: Dataset for Checking Consistency between Unstructured Notes and Structured Tables in Electronic Health Records
98. NeurIPS 2024Empowering and Assessing the Utility of Large Language Models in Crop Science
99. NeurIPS 2024Energy-based Hopfield Boosting for Out-of-Distribution Detection
100. NeurIPS 2024Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulation

常见问题

2023–2026 年四大会议一共有多少篇对齐与安全论文？

共 4,558 篇，按年份分别是 2023 年 438 篇、2024 年 875 篇、2025 年 1,363 篇、2026 年 1,882 篇。

NeurIPS 2026 有多少篇对齐与安全论文？

NeurIPS 2026 有 480 篇对齐与安全论文，上一届是 455 篇。

ICLR 2026 有多少篇对齐与安全论文？

ICLR 2026 有 623 篇对齐与安全论文，上一届是 473 篇。

ICML 2026 有多少篇对齐与安全论文？

ICML 2026 有 551 篇对齐与安全论文，上一届是 300 篇。

CVPR 2026 有多少篇对齐与安全论文？

CVPR 2026 有 228 篇对齐与安全论文，上一届是 135 篇。

哪个会议的对齐与安全论文最多？

NeurIPS，2023–2026 年共 1,421 篇。