Social aspects · safety papers, 2023–2026
Social aspect: safety
Scope: NeurIPS, ICLR, ICML and CVPR, 2023–2026. 688 papers are tagged with this topic.
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.
Papers per venue
Counts by year and venue
| Year | NeurIPS | ICLR | ICML | CVPR | Total |
|---|---|---|---|---|---|
| 2023 | 2 | 0 | 2 | 0 | 4 |
| 2024 | 23 | 11 | 6 | 1 | 41 |
| 2025 | 131 | 11 | 130 | 1 | 273 |
| 2026 | 121 | 20 | 226 | 3 | 370 |
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
688 papers, page 9 of 14
- ICML 2025B-score: Detecting biases in large language models using response history
- ICML 2025CASE-Bench: Context-Aware SafEty Benchmark for Large Language Models
- ICML 2025Certified Unlearning for Neural Networks
- ICML 2025Circumventing Backdoor Space via Weight Symmetry
- ICML 2025Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
- ICML 2025Correlated Errors in Large Language Models
- ICML 2025Detecting Strategic Deception with Linear Probes
- ICML 2025DIS-CO: Discovering Copyrighted Content in VLMs Training Data
- ICML 2025Discovering Spoofing Attempts on Language Model Watermarks
- ICML 2025Disparate Conditional Prediction in Multiclass Classifiers
- ICML 2025Do Not Mimic My Voice : Speaker Identity Unlearning for Zero-Shot Text-to-Speech
- ICML 2025Efficient and Privacy-Preserving Soft Prompt Transfer for LLMs
- ICML 2025ELITE: Enhanced Language-Image Toxicity Evaluation for Safety
- ICML 2025Embedding Safety into RL: A New Take on Trust Region Methods
- ICML 2025Emoji Attack: Enhancing Jailbreak Attacks Against Judge LLM Detection
- ICML 2025EraseAnything: Enabling Concept Erasure in Rectified Flow Transformers
- ICML 2025Evaluating Neuron Explanations: A Unified Framework with Sanity Checks
- ICML 2025Explaining, Fast and Slow: Abstraction and Refinement of Provable Explanations
- ICML 2025ExpProof : Operationalizing Explanations for Confidential Models with ZKPs
- ICML 2025Extractive Structures Learned in Pretraining Enable Generalization on Finetuned Facts
- ICML 2025Fair Clustering via Alignment
- ICML 2025FairICP: Encouraging Equalized Odds via Inverse Conditional Permutation
- ICML 2025Fast Estimation of Partial Dependence Functions using Trees
- ICML 2025Flow Matching for Denoised Social Recommendation
- ICML 2025From Pixels to Perception: Interpretable Predictions via Instance-wise Grouped Feature Selection
- ICML 2025Gandalf the Red: Adaptive Security for LLMs
- ICML 2025GaussMarker: Robust Dual-Domain Watermark for Diffusion Models
- ICML 2025Graph Inverse Style Transfer for Counterfactual Explainability
- ICML 2025How Do Transformers Learn Variable Binding in Symbolic Programs?
- ICML 2025Improving LLM Safety Alignment with Dual-Objective Optimization
- ICML 2025Improving Out-of-Distribution Detection via Dynamic Covariance Calibration
- ICML 2025Improving Out-of-Distribution Detection with Markov Logic Networks
- ICML 2025Inducing, Detecting and Characterising Neural Modules: A Pipeline for Functional Interpretability in Reinforcement Learning
- ICML 2025InfoCons: Identifying Interpretable Critical Concepts in Point Clouds via Information Theory
- ICML 2025Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
- ICML 2025Jacobian Sparse Autoencoders: Sparsify Computations, Not Just Activations
- ICML 2025Just Enough Shifts: Mitigating Over-Refusal in Aligned Language Models with Targeted Representation Fine-Tuning
- ICML 2025Learning Classifiers That Induce Markets
- ICML 2025Learning Safety Constraints for Large Language Models
- ICML 2025Learning to Route LLMs with Confidence Tokens
- ICML 2025Leveraging Predictive Equivalence in Decision Trees
- ICML 2025LIMEFLDL: A Local Interpretable Model-Agnostic Explanations Approach for Label Distribution Learning
- ICML 2025LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and Models
- ICML 2025MIB: A Mechanistic Interpretability Benchmark
- ICML 2025Mind the Gap: A Practical Attack on GGUF Quantization
- ICML 2025Minimalist Concept Erasure in Generative Models
- ICML 2025Mixture of Experts Made Intrinsically Interpretable
- ICML 2025MP-Nav: Enhancing Data Poisoning Attacks against Multimodal Learning
- ICML 2025MTL-UE: Learning to Learn Nothing for Multi-Task Learning
- ICML 2025Near-Optimal Decision Trees in a SPLIT Second
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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.