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
273 papers, page 1 of 6
- CVPR 2025Do We Really Need Curated Malicious Data for Safety Alignment in Multi-modal Large Language Models?
- ICLR 2025A Black Swan Hypothesis: The Role of Human Irrationality in AI Safety
- ICLR 2025Breach By A Thousand Leaks: Unsafe Information Leakage in 'Safe' AI Responses
- ICLR 2025Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
- ICLR 2025Does Safety Training of LLMs Generalize to Semantically Related Natural Prompts?
- ICLR 2025Durable Quantization Conditioned Misalignment Attack on Large Language Models
- ICLR 2025Jailbreak Antidote: Runtime Safety-Utility Balance via Sparse Representation Adjustment in Large Language Models
- ICLR 2025On the Role of Attention Heads in Large Language Model Safety
- ICLR 2025Programming Refusal with Conditional Activation Steering
- ICLR 2025Safety Alignment Should be Made More Than Just a Few Tokens Deep
- ICLR 2025Safety Layers in Aligned Large Language Models: The Key to LLM Security
- ICLR 2025The Hidden Cost of Waiting for Accurate Predictions
- ICML 2025(How) Can Transformers Predict Pseudo-Random Numbers?
- ICML 2025$S^2$FGL: Spatial Spectral Federated Graph Learning
- ICML 2025A Checks-and-Balances Framework for Context-Aware Ethical AI Alignment
- ICML 2025A Lens into Interpretable Transformer Mistakes via Semantic Dependency
- ICML 2025A Non-Asymptotic Convergent Analysis for Scored-Based Graph Generative Model via a System of Stochastic Differential Equations
- ICML 2025A Versatile Influence Function for Data Attribution with Non-Decomposable Loss
- ICML 2025Activation Space Interventions Can Be Transferred Between Large Language Models
- ICML 2025Adversarial Reasoning at Jailbreaking Time
- ICML 2025Adversaries Can Misuse Combinations of Safe Models
- ICML 2025Algorithmic Recourse for Long-Term Improvement
- ICML 2025An Efficient Private GPT Never Autoregressively Decodes
- ICML 2025An End-to-End Model for Logits-Based Large Language Models Watermarking
- ICML 2025Antidote: Post-fine-tuning Safety Alignment for Large Language Models against Harmful Fine-tuning Attack
- ICML 2025Assessing Safety Risks and Quantization-aware Safety Patching for Quantized Large Language Models
- ICML 2025Automated Red Teaming with GOAT: the Generative Offensive Agent Tester
- ICML 2025Automatically Interpreting Millions of Features in Large Language Models
- ICML 2025Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
- ICML 2025AxBench: Steering LLMs? Even Simple Baselines Outperform Sparse Autoencoders
- 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
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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.