Social aspects · safety papers, 2023–2026

Key findings

• Social aspects · safety went from 4 papers in 2023 to 370 in 2026, roughly 93x in three years.
• ICML publishes the most Social aspects · safety work: 364 papers from 2023 to 2026, 53% of the four-venue total.
• The fastest-growing overlap is with Alignment and Safety: papers tagged with both rose from 0 in 2023 to 137 in 2026.
• Among the 5 topics under Alignment and Responsible AI, it ranks #3 by 2026 paper count; the fastest grower in the group, Social aspects · privacy, is up 6.6x versus 93x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026BarrierSteer: LLM Safety via Learning Barrier Steering
• ICML 2026Anti-Backdoor Coreset Selection via Cumulative Entropy
• ICLR 2026Bi-Criteria Metric Distortion
• CVPR 2026Omni-MMSI Toward Identity-attributed Social Interaction Understanding
• NeurIPS 2025Safety Pretraining: Toward the Next Generation of Safe AI
• ICML 2025$S^2$FGL: Spatial Spectral Federated Graph Learning
• ICLR 2025The Hidden Cost of Waiting for Accurate Predictions
• CVPR 2025Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
• NeurIPS 2024Quantifying the Bitter Lesson: How Safety Benchmarks Measure Capabilities Instead of Safety
• ICML 2024Optimally Improving Cooperative Learning in a Social Setting
• ICLR 2024The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
• CVPR 2024Digital Life Project: Autonomous 3D Characters with Social Intelligence
• NeurIPS 2023Strategyproof Voting under Correlated Beliefs
• ICML 2023Adaptive Coordination in Social Embodied Rearrangement
• NeurIPS 2026Beyond Feature Disruption: Boundary-Diverting Unlearnable Examples against Linear Probing
• ICML 2026AutoControl Arena: Synthesizing Executable Test Environments for Frontier AI Risk Evaluation
• ICLR 2026PRISON: Unmasking the Criminal Potential of Large Language Models
• CVPR 2026Spot The Ball A Benchmark for Visual Social Inference
• NeurIPS 2025SAFEx: Analyzing Vulnerabilities of MoE-Based LLMs via Stable Safety-critical Expert Identification
• ICML 2025Adversaries Can Misuse Combinations of Safe Models

All Social aspects · safety papers

277 papers, page 4 of 6

151. NeurIPS 2025Faithful Group Shapley Value
152. NeurIPS 2025FALCON: Fine-grained Activation Manipulation by Contrastive Orthogonal Unalignment for Large Language Model
153. NeurIPS 2025Final-Model-Only Data Attribution with a Unifying View of Gradient-Based Methods
154. NeurIPS 2025From Black-box to Causal-box: Towards Building More Interpretable Models
155. NeurIPS 2025From Judgment to Interference: Early Stopping LLM Harmful Outputs via Streaming Content Monitoring
156. NeurIPS 2025From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
157. NeurIPS 2025From Specificity to Generality: Revisiting Generalizable Artifacts in Detecting Face Deepfakes
158. NeurIPS 2025Fundamental Limitations in Pointwise Defences of LLM Finetuning APIs
159. NeurIPS 2025GASP: Efficient Black-Box Generation of Adversarial Suffixes for Jailbreaking LLMs
160. NeurIPS 2025Generative Model Inversion Through the Lens of the Manifold Hypothesis
161. NeurIPS 2025Geometric Imbalance in Semi-Supervised Node Classification
162. NeurIPS 2025GnnXemplar: Exemplars to Explanations - Natural Language Rules for Global GNN Interpretability
163. NeurIPS 2025Harnessing the Computation Redundancy in ViTs to Boost Adversarial Transferability
164. NeurIPS 2025Homogeneous Algorithms Can Reduce Competition in Personalized Pricing
165. NeurIPS 2025ICLScan: Detecting Backdoors in Black-Box Large Language Models via Targeted In-context Illumination
166. NeurIPS 2025IF-Guide: Influence Function-Guided Detoxification of LLMs
167. NeurIPS 2025Improving Perturbation-based Explanations by Understanding the Role of Uncertainty Calibration
168. NeurIPS 2025Inference-Time Reward Hacking in Large Language Models
169. NeurIPS 2025Information Retrieval Induced Safety Degradation in AI Agents
170. NeurIPS 2025JailBound: Jailbreaking Internal Safety Boundaries of Vision-Language Models
171. NeurIPS 2025Language Models Are Capable of Metacognitive Monitoring and Control of Their Internal Activations
172. NeurIPS 2025Learning Gradient Boosted Decision Trees with Algorithmic Recourse
173. NeurIPS 2025Learning to Steer: Input-dependent Steering for Multimodal LLMs
174. NeurIPS 2025Lifelong Safety Alignment for Language Models
175. NeurIPS 2025LLM Safety Alignment is Divergence Estimation in Disguise
176. NeurIPS 2025LLM Unlearning via Neural Activation Redirection
177. NeurIPS 2025MF-LLM: Simulating Population Decision Dynamics via a Mean-Field Large Language Model Framework
178. NeurIPS 2025MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
179. NeurIPS 2025Minimizing False-Positive Attributions in Explanations of Non-Linear Models
180. NeurIPS 2025Monoculture or Multiplicity: Which Is It?
181. NeurIPS 2025Noise Injection Reveals Hidden Capabilities of Sandbagging Language Models
182. NeurIPS 2025One Head to Rule Them All: Amplifying LVLM Safety through a Single Critical Attention Head
183. NeurIPS 2025OOD Detection with Relative Angles
184. NeurIPS 2025OrdShap: Feature Position Importance for Sequential Black-Box Models
185. NeurIPS 2025OS-Harm: A Benchmark for Measuring Safety of Computer Use Agents
186. NeurIPS 2025Overcoming Sparsity Artifacts in Crosscoders to Interpret Chat-Tuning
187. NeurIPS 2025Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
188. NeurIPS 2025Performative Validity of Recourse Explanations
189. NeurIPS 2025PolyGuard: Massive Multi-Domain Safety Policy-Grounded Guardrail Dataset
190. NeurIPS 2025Predicting the Performance of Black-box Language Models with Follow-up Queries
191. NeurIPS 2025Preference Learning with Lie Detectors can Induce Honesty or Evasion
192. NeurIPS 2025Probabilistic Stability Guarantees for Feature Attributions
193. NeurIPS 2025Provable Gradient Editing of Deep Neural Networks
194. NeurIPS 2025Provably Efficient RL under Episode-Wise Safety in Constrained MDPs with Linear Function Approximation
195. NeurIPS 2025Rectifying Shortcut Behaviors in Preference-based Reward Learning
196. NeurIPS 2025Redefining Experts: Interpretable Decomposition of Language Models for Toxicity Mitigation
197. NeurIPS 2025Refusal Direction is Universal Across Safety-Aligned Languages
198. NeurIPS 2025Regional Explanations: Bridging Local and Global Variable Importance
199. NeurIPS 2025Regression Trees Know Calculus
200. NeurIPS 2025Reliably detecting model failures in deployment without labels

FAQ

How many Social aspects · safety papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

688 in total: 4 in 2023, 41 in 2024, 273 in 2025, 370 in 2026.

How many Social aspects · safety papers are at NeurIPS 2026?

NeurIPS 2026 has 121 Social aspects · safety papers, versus 131 the year before.

How many Social aspects · safety papers are at ICLR 2026?

ICLR 2026 has 20 Social aspects · safety papers, versus 11 the year before.

How many Social aspects · safety papers are at ICML 2026?

ICML 2026 has 226 Social aspects · safety papers, versus 130 the year before.

How many Social aspects · safety papers are at CVPR 2026?

CVPR 2026 has 3 Social aspects · safety papers, versus 1 the year before.

Which conference publishes the most Social aspects · safety papers?

ICML, with 364 papers from 2023 to 2026.